From 8735404af37f335254f96294bd99c5dc6a86e259 Mon Sep 17 00:00:00 2001 From: Tri Imam Wicaksono Date: Thu, 24 Apr 2025 14:10:11 +0200 Subject: [PATCH 01/31] day-1-travel-recommendation prompt --- week1/community-contributions/day-1-travel-recommendation.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 week1/community-contributions/day-1-travel-recommendation.ipynb diff --git a/week1/community-contributions/day-1-travel-recommendation.ipynb b/week1/community-contributions/day-1-travel-recommendation.ipynb new file mode 100644 index 0000000..e69de29 From 1876130d65eca56237b2f2e0ba7523d07faa3c6e Mon Sep 17 00:00:00 2001 From: Zoya Hammad Date: Fri, 25 Apr 2025 09:42:18 +0500 Subject: [PATCH 02/31] Added ensemble agent updated with xg_boost agent to community-contributions --- .../ensemble-updated/day2.4_xgboost.ipynb | 2182 +++++++++++++++++ .../ensemble-updated/ensemble_agent.py | 52 + .../ensemble-updated/xg_boost_agent.py | 46 + 3 files changed, 2280 insertions(+) create mode 100644 week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb create mode 100644 week8/community_contributions/ensemble-updated/ensemble_agent.py create mode 100644 week8/community_contributions/ensemble-updated/xg_boost_agent.py diff --git a/week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb b/week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb new file mode 100644 index 0000000..1820042 --- /dev/null +++ b/week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb @@ -0,0 +1,2182 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "40d49349-faaa-420c-9b65-0bdc9edfabce", + "metadata": {}, + "source": [ + "# The Price is Right\n", + "\n", + "## Finishing off with Random Forests, XG Boost & Ensemble" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6cd8b15e-f88a-470d-a9a6-b6370effaff9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: xgboost in c:\\users\\92310\\anaconda3\\envs\\llms\\lib\\site-packages (3.0.0)\n", + "Requirement already satisfied: numpy in c:\\users\\92310\\anaconda3\\envs\\llms\\lib\\site-packages (from xgboost) (1.26.4)\n", + "Requirement already satisfied: scipy in c:\\users\\92310\\anaconda3\\envs\\llms\\lib\\site-packages (from xgboost) (1.13.1)\n" + ] + } + ], + "source": [ + "!pip install xgboost" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "fbcdfea8-7241-46d7-a771-c0381a3e7063", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import re\n", + "import math\n", + "import json\n", + "from tqdm import tqdm\n", + "import random\n", + "from dotenv import load_dotenv\n", + "from huggingface_hub import login\n", + "import numpy as np\n", + "import pickle\n", + "from openai import OpenAI\n", + "from sentence_transformers import SentenceTransformer\n", + "from datasets import load_dataset\n", + "import chromadb\n", + "from items import Item\n", + "from testing import Tester\n", + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.ensemble import RandomForestRegressor\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import mean_squared_error, r2_score\n", + "import joblib\n", + "import xgboost as xgb" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e6e88bd1-f89c-4b98-92fa-aa4bc1575bca", + "metadata": {}, + "outputs": [], + "source": [ + "# CONSTANTS\n", + "\n", + "DB = \"products_vectorstore\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "98666e73-938e-469d-8987-e6e55ba5e034", + "metadata": {}, + "outputs": [], + "source": [ + "# environment\n", + "\n", + "load_dotenv(override=True)\n", + "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')\n", + "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "dc696493-0b6f-48aa-9fa8-b1ae0ecaf3cd", + "metadata": {}, + "outputs": [], + "source": [ + "# Load in the test pickle file:\n", + "\n", + "with open('test.pkl', 'rb') as file:\n", + " test = pickle.load(file)\n", + " \n", + "# training data is already in Chroma" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d26a1104-cd11-4361-ab25-85fb576e0582", + "metadata": {}, + "outputs": [], + "source": [ + "client = chromadb.PersistentClient(path=DB)\n", + "collection = client.get_or_create_collection('products')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e00b82a9-a8dc-46f1-8ea9-2f07cbc8e60d", + "metadata": {}, + "outputs": [], + "source": [ + "result = collection.get(include=['embeddings', 'documents', 'metadatas'])\n", + "vectors = np.array(result['embeddings'])\n", + "documents = result['documents']\n", + "prices = [metadata['price'] for metadata in result['metadatas']]" + ] + }, + { + "cell_type": "markdown", + "id": "bf6492cb-b11a-4ad5-859b-a71a78ffb949", + "metadata": {}, + "source": [ + "# Random Forest\n", + "\n", + "We will now train a Random Forest model.\n", + "\n", + "Can you spot the difference from what we did in Week 6? In week 6 we used the word2vec model to form vectors; this time we'll use the vectors we already have in Chroma, from the SentenceTransformer model." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "48894777-101f-4fe5-998c-47079407f340", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestRegressor(n_jobs=-1, random_state=42)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestRegressor(n_jobs=-1, random_state=42)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This next line takes an hour on my M1 Mac!\n", + "\n", + "rf_model = RandomForestRegressor(n_estimators=100, random_state=42, n_jobs=-1)\n", + "rf_model.fit(vectors, prices)" + ] + }, + { + "cell_type": "markdown", + "id": "90a07dde-6f57-4488-8d08-e8e5646754e7", + "metadata": {}, + "source": [ + "n_job = -1 means it is using every core" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "62eb7ddf-e1da-481e-84c6-1256547566bd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['random_forest_model.pkl']" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Save the model to a file\n", + "\n", + "joblib.dump(rf_model, 'random_forest_model.pkl')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "d281dc5e-761e-4a5e-86b3-29d9c0a33d4a", + "metadata": {}, + "outputs": [], + "source": [ + "# Load it back in again\n", + "\n", + "rf_model = joblib.load('random_forest_model.pkl')" + ] + }, + { + "cell_type": "markdown", + "id": "23760bf5-fe52-473d-bfbe-def6b7a67a77", + "metadata": {}, + "source": [ + "# XG Boost Model" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c65dcfb9-d2c1-431c-843d-c5908bc39e3f", + "metadata": {}, + "outputs": [], + "source": [ + "train_dmatrix = xgb.DMatrix(vectors, label=prices)\n", + "\n", + "params = {\n", + " \"objective\": \"reg:squarederror\",\n", + " \"max_depth\": 6,\n", + " \"learning_rate\": 0.1,\n", + " \"nthread\": -1,\n", + " \"verbosity\": 1,\n", + " \"subsample\": 0.8,\n", + "}\n", + "\n", + "model = xgb.train(params, train_dmatrix, num_boost_round=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a6980ca7-fc38-482c-8346-80c435058886", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['xg_boost_model.pkl']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "joblib.dump(model,'xg_boost_model.pkl')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "a0605f48-04f8-44a3-8d8c-c7be4cd840b2", + "metadata": {}, + "outputs": [], + "source": [ + "xgb_model = joblib.load('xg_boost_model.pkl')" + ] + }, + { + "cell_type": "markdown", + "id": "22d10315-2b11-43b0-b042-679a2814dea1", + "metadata": {}, + "source": [ + "# Agents" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "5d438dec-8e5b-4e60-bb6f-c3f82e522dd9", + "metadata": {}, + "outputs": [], + "source": [ + "from agents.specialist_agent import SpecialistAgent\n", + "from agents.frontier_agent import FrontierAgent\n", + "from agents.random_forest_agent import RandomForestAgent\n", + "from agents.xg_boost_agent import XGBoostAgent" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "afc39369-b97b-4a90-b17e-b20ef501d3c9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\92310\\anaconda3\\envs\\llms\\Lib\\asyncio\\events.py:84: DeprecationError: 2025-01-27: `modal.Cls.lookup` is deprecated and will be removed in a future release. It can be replaced with `modal.Cls.from_name`.\n", + "\n", + "See https://modal.com/docs/guide/modal-1-0-migration for more information.\n", + " self._context.run(self._callback, *self._args)\n" + ] + } + ], + "source": [ + "specialist = SpecialistAgent()\n", + "frontier = FrontierAgent(collection)\n", + "random_forest = RandomForestAgent()\n", + "xg_boost = XGBoostAgent()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8e2d0d0a-8bb8-4b39-b046-322828c39244", + "metadata": {}, + "outputs": [], + "source": [ + "def description(item):\n", + " return item.prompt.split(\"to the nearest dollar?\\n\\n\")[1].split(\"\\n\\nPrice is $\")[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "bfe0434f-b29e-4cc0-bad9-b07624665727", + "metadata": {}, + "outputs": [], + "source": [ + "def rf(item):\n", + " return random_forest.price(description(item))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "cdf233ec-264f-4b34-9f2b-27c39692137b", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $188.72 Truth: $32.70 Error: $156.02 SLE: 2.99 Item: AXE HEAVEN Stranger Things Eddie's Guita...\u001b[0m\n", + "\u001b[91m2: Guess: $116.36 Truth: $213.94 Error: $97.58 SLE: 0.37 Item: Southbend Range 1175016 Natural Gas Valv...\u001b[0m\n", + "\u001b[92m3: Guess: $90.60 Truth: $79.99 Error: $10.61 SLE: 0.02 Item: SUNY Party Lights DJ Stage Lighting 12 G...\u001b[0m\n", + "\u001b[92m4: Guess: $40.98 Truth: $18.99 Error: $21.99 SLE: 0.55 Item: 113PCS Birthday Party Supplies and Decor...\u001b[0m\n", + "\u001b[91m5: Guess: $233.06 Truth: $44.95 Error: $188.11 SLE: 2.65 Item: Artist Unknown A- B Box, Black (T-LPSMR ...\u001b[0m\n", + "\u001b[92m6: Guess: $88.22 Truth: $84.99 Error: $3.23 SLE: 0.00 Item: PINK Child’s Practice Chanter by R.G.Har...\u001b[0m\n", + "\u001b[91m7: Guess: $93.69 Truth: $592.95 Error: $499.26 SLE: 3.37 Item: PENNZONI 4ft Drum Shield w/Deflectors & ...\u001b[0m\n", + "\u001b[91m8: Guess: $123.40 Truth: $325.01 Error: $201.61 SLE: 0.93 Item: LEGO Bionicle Umarak The Destroyer (7131...\u001b[0m\n", + "\u001b[92m9: Guess: $104.34 Truth: $90.99 Error: $13.35 SLE: 0.02 Item: (Red) - 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Starting Life in A...\u001b[0m\n", + "\u001b[91m68: Guess: $102.90 Truth: $219.99 Error: $117.09 SLE: 0.57 Item: Latin Percussion LP981 LP Timbale Stand,...\u001b[0m\n", + "\u001b[92m69: Guess: $49.15 Truth: $43.59 Error: $5.56 SLE: 0.01 Item: Replacement Water filter for Maytag UKF-...\u001b[0m\n", + "\u001b[91m70: Guess: $107.00 Truth: $19.95 Error: $87.05 SLE: 2.69 Item: Monster Trombone Care and Cleaning Kit |...\u001b[0m\n", + "\u001b[92m71: Guess: $140.64 Truth: $101.00 Error: $39.64 SLE: 0.11 Item: LG Electronics AEQ72909602 Refrigerator ...\u001b[0m\n", + "\u001b[91m72: Guess: $121.22 Truth: $239.99 Error: $118.77 SLE: 0.46 Item: Korilakkuma San-X Original Plush (Jumbo)\u001b[0m\n", + "\u001b[93m73: Guess: $103.38 Truth: $28.61 Error: $74.77 SLE: 1.59 Item: Great Eastern Entertainment Cowboy Bebop...\u001b[0m\n", + "\u001b[92m74: Guess: $77.98 Truth: $55.99 Error: $21.99 SLE: 0.11 Item: Haxtec Natural Amethyst Gemstone DND Dic...\u001b[0m\n", + "\u001b[92m75: Guess: $72.75 Truth: $49.43 Error: $23.32 SLE: 0.14 Item: Pop 587 The Elder Scrolls V Skyrim Sheog...\u001b[0m\n", + "\u001b[92m76: Guess: $84.37 Truth: $97.49 Error: $13.12 SLE: 0.02 Item: Funko Pop Games: Mortal Combat - Kitana ...\u001b[0m\n", + "\u001b[91m77: Guess: $251.72 Truth: $439.99 Error: $188.27 SLE: 0.31 Item: SKB 3I-3019-12BC iSeries 30 1/2\" x 19 1/...\u001b[0m\n", + "\u001b[92m78: Guess: $47.12 Truth: $34.99 Error: $12.13 SLE: 0.08 Item: Veemoon Wedding Cake Topper Figurines Ol...\u001b[0m\n", + "\u001b[92m79: Guess: $137.50 Truth: $146.99 Error: $9.49 SLE: 0.00 Item: Kinglos 4/4 White Ebony Fitted Solid Woo...\u001b[0m\n", + "\u001b[93m80: Guess: $67.92 Truth: $8.39 Error: $59.53 SLE: 3.97 Item: Reaper Miniatures 2008 Christmas Sophie ...\u001b[0m\n", + "\u001b[92m81: Guess: $53.89 Truth: $38.89 Error: $15.00 SLE: 0.10 Item: Greture Sunflower Home Kitchen Decoratio...\u001b[0m\n", + "\u001b[92m82: Guess: $99.32 Truth: $97.95 Error: $1.37 SLE: 0.00 Item: Stormcast Eternals Celestant-Prime Hamme...\u001b[0m\n", + "\u001b[92m83: Guess: $191.16 Truth: $199.99 Error: $8.83 SLE: 0.00 Item: JIM DUNLOP Slash Wah Guitar Effects Peda...\u001b[0m\n", + "\u001b[93m84: Guess: $92.17 Truth: $41.99 Error: $50.18 SLE: 0.60 Item: Bilingual Quiet Book for Toddlers | Writ...\u001b[0m\n", + "\u001b[91m85: Guess: $267.91 Truth: $96.95 Error: $170.96 SLE: 1.02 Item: Exotic Electric Guitar Body Blank Wood V...\u001b[0m\n", + "\u001b[93m86: Guess: $249.19 Truth: $179.00 Error: $70.19 SLE: 0.11 Item: CAVALIERE Under Cabinet Range Hood 30\" I...\u001b[0m\n", + "\u001b[91m87: Guess: $129.65 Truth: $40.99 Error: $88.66 SLE: 1.29 Item: JUSOP Microphone Isolation Shield with P...\u001b[0m\n", + "\u001b[92m88: Guess: $24.42 Truth: $2.39 Error: $22.03 SLE: 4.06 Item: YU-GI-OH! - World of Prophecy (JOTL-EN02...\u001b[0m\n", + "\u001b[93m89: Guess: $66.36 Truth: $19.49 Error: $46.87 SLE: 1.42 Item: 240356402 Door Bin Shelf - Compatible Wi...\u001b[0m\n", + "\u001b[93m90: Guess: $169.06 Truth: $259.95 Error: $90.89 SLE: 0.18 Item: Odyssey FZPIDDJSXBL Black Label Flight Z...\u001b[0m\n", + "\u001b[91m91: Guess: $217.32 Truth: $601.00 Error: $383.68 SLE: 1.03 Item: Samson Expedition XP312w 12” 300 Watt Ba...\u001b[0m\n", + "\u001b[92m92: Guess: $46.87 Truth: $29.99 Error: $16.88 SLE: 0.19 Item: Fanattik Yu-Gi-Oh Metal Card White Drago...\u001b[0m\n", + "\u001b[93m93: Guess: $44.50 Truth: $2.08 Error: $42.42 SLE: 7.25 Item: Magic The Gathering - Voracious Dragon -...\u001b[0m\n", + "\u001b[93m94: Guess: $96.59 Truth: $36.99 Error: $59.60 SLE: 0.89 Item: Marvel Legends Annihilus Series Build-A-...\u001b[0m\n", + "\u001b[93m95: Guess: $116.19 Truth: $69.99 Error: $46.20 SLE: 0.25 Item: XPIY Tricycle for Toddlers Age 2 to 4 Ye...\u001b[0m\n", + "\u001b[92m96: Guess: $85.97 Truth: $75.00 Error: $10.97 SLE: 0.02 Item: Super Heroes Lego 76133 Spider-Man Car C...\u001b[0m\n", + "\u001b[93m97: Guess: $106.46 Truth: $57.98 Error: $48.48 SLE: 0.36 Item: Batman Dark Knight Movie Master Exclusiv...\u001b[0m\n", + "\u001b[91m98: Guess: $185.51 Truth: $55.89 Error: $129.62 SLE: 1.41 Item: KOKKO Looper Guitar Pedal Effects Mini L...\u001b[0m\n", + "\u001b[92m99: Guess: $58.01 Truth: $58.99 Error: $0.98 SLE: 0.00 Item: Upgraded Microphone Studio Recording Kit...\u001b[0m\n", + "\u001b[93m100: Guess: $132.39 Truth: $56.92 Error: $75.47 SLE: 0.70 Item: Redcat Racing Hexfly 3600 25C 11.1V LiPo...\u001b[0m\n", + "\u001b[93m101: Guess: $85.97 Truth: $33.99 Error: $51.98 SLE: 0.83 Item: CuberSpeed GAN 356 Air Speed Cube GAN 11...\u001b[0m\n", + "\u001b[92m102: Guess: $8.10 Truth: $3.07 Error: $5.03 SLE: 0.65 Item: Yu-Gi-Oh! - Icarus Attack (EOJ-EN055) - ...\u001b[0m\n", + "\u001b[91m103: Guess: $219.70 Truth: $48.64 Error: $171.06 SLE: 2.23 Item: Hohner Green Tones 3750 Beginner Drum Se...\u001b[0m\n", + "\u001b[93m104: Guess: $76.03 Truth: $32.62 Error: $43.41 SLE: 0.69 Item: Musiclily Pro 13-Hole Aluminum Vintage 6...\u001b[0m\n", + "\u001b[93m105: Guess: $195.46 Truth: $149.99 Error: $45.47 SLE: 0.07 Item: PreSonus AudioBox iTwo Studio USB 2.0 Re...\u001b[0m\n", + "\u001b[92m106: Guess: $166.09 Truth: $199.95 Error: $33.86 SLE: 0.03 Item: Rockville MOTIONSTRIP Motorized Moving H...\u001b[0m\n", + "\u001b[93m107: Guess: $90.18 Truth: $22.88 Error: $67.30 SLE: 1.80 Item: Hot Racing TFF125HM01 Aluminum reinforce...\u001b[0m\n", + "\u001b[92m108: Guess: $60.87 Truth: $22.23 Error: $38.64 SLE: 0.96 Item: Disney Cars Toys Movie Die-cast Characte...\u001b[0m\n", + "\u001b[92m109: Guess: $67.31 Truth: $62.99 Error: $4.32 SLE: 0.00 Item: HASMX 2 Pack Replacement Humidifier Filt...\u001b[0m\n", + "\u001b[91m110: Guess: $168.41 Truth: $299.00 Error: $130.59 SLE: 0.33 Item: Frigidaire 5304495520 Oven Control Board...\u001b[0m\n", + "\u001b[93m111: Guess: $72.17 Truth: $1.09 Error: $71.08 SLE: 12.64 Item: Magic: the Gathering - Drake Umbra - Ris...\u001b[0m\n", + "\u001b[92m112: Guess: $98.33 Truth: $118.99 Error: $20.66 SLE: 0.04 Item: Mezco Toyz Living Dead Dolls Series 23 -...\u001b[0m\n", + "\u001b[92m113: Guess: $121.20 Truth: $119.81 Error: $1.39 SLE: 0.00 Item: Hey! Play! Classic Giant Wooden Blocks T...\u001b[0m\n", + "\u001b[92m114: Guess: $37.79 Truth: $21.99 Error: $15.80 SLE: 0.27 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", + "\u001b[93m115: Guess: $81.38 Truth: $21.75 Error: $59.63 SLE: 1.66 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", + "\u001b[91m116: Guess: $134.92 Truth: $41.88 Error: $93.04 SLE: 1.33 Item: Funko Pop! Moment: Inuyasha - Inuyasha V...\u001b[0m\n", + "\u001b[91m117: Guess: $120.88 Truth: $275.00 Error: $154.12 SLE: 0.67 Item: Kotobukiya Dc Comics Batgirl Bishoujo St...\u001b[0m\n", + "\u001b[92m118: Guess: $78.57 Truth: $72.99 Error: $5.58 SLE: 0.01 Item: Ravensburger 540 Celestial Map Gloin- in...\u001b[0m\n", + "\u001b[92m119: Guess: $42.22 Truth: $29.15 Error: $13.07 SLE: 0.13 Item: Steiff USA Handmade Light Brown Lumpi Li...\u001b[0m\n", + "\u001b[92m120: Guess: $114.45 Truth: $98.00 Error: $16.45 SLE: 0.02 Item: Tengen Toppa Gurren Lagann Revoltech #05...\u001b[0m\n", + "\u001b[92m121: Guess: $112.92 Truth: $139.99 Error: $27.07 SLE: 0.05 Item: WWE Elite Collection Road Dogg Action Fi...\u001b[0m\n", + "\u001b[92m122: Guess: $129.85 Truth: $94.95 Error: $34.90 SLE: 0.10 Item: Singing Machine STVG782BK Groove XL Kara...\u001b[0m\n", + "\u001b[93m123: Guess: $92.46 Truth: $41.99 Error: $50.47 SLE: 0.60 Item: Ruibo 88 Key Keyboard Gig Bag Case for E...\u001b[0m\n", + "\u001b[91m124: Guess: $133.18 Truth: $19.99 Error: $113.19 SLE: 3.44 Item: STAR WARS The Vintage Collection Snaggle...\u001b[0m\n", + "\u001b[92m125: Guess: $162.22 Truth: $197.99 Error: $35.77 SLE: 0.04 Item: Truetone V3 Jekyll & Hyde Overdrive & Di...\u001b[0m\n", + "\u001b[93m126: Guess: $61.97 Truth: $12.76 Error: $49.21 SLE: 2.31 Item: 13 Inch Authentic Indian Wooden Bamboo F...\u001b[0m\n", + "\u001b[91m127: Guess: $92.24 Truth: $179.95 Error: $87.71 SLE: 0.44 Item: 48 Pack of (12 x 12 x 2)Inch Acoustical ...\u001b[0m\n", + "\u001b[92m128: Guess: $33.83 Truth: $16.99 Error: $16.84 SLE: 0.44 Item: Writing Tablet 10 Inch Drawing Pad, Colo...\u001b[0m\n", + "\u001b[91m129: Guess: $140.46 Truth: $529.20 Error: $388.74 SLE: 1.75 Item: TAMIYA 1/14 King Hauler 10X8WD Semi Trac...\u001b[0m\n", + "\u001b[91m130: Guess: $123.34 Truth: $39.59 Error: $83.75 SLE: 1.25 Item: DIAMOND SELECT TOYS John Wick 3 Casual S...\u001b[0m\n", + "\u001b[93m131: Guess: $115.90 Truth: $174.42 Error: $58.52 SLE: 0.16 Item: Bandai Tamashii Nations The Dark Knight ...\u001b[0m\n", + "\u001b[92m132: Guess: $52.09 Truth: $17.99 Error: $34.10 SLE: 1.06 Item: Jiayouy 15Pcs 4/4-3/4 Size Violin Fiddle...\u001b[0m\n", + "\u001b[92m133: Guess: $181.49 Truth: $149.00 Error: $32.49 SLE: 0.04 Item: Mould King 13082 Pickup Truck Block Kits...\u001b[0m\n", + "\u001b[92m134: Guess: $63.70 Truth: $49.99 Error: $13.71 SLE: 0.06 Item: UGEARS 3D Puzzle for Board Games - Woode...\u001b[0m\n", + "\u001b[91m135: Guess: $133.03 Truth: $359.99 Error: $226.96 SLE: 0.98 Item: HONEY JOY Inflatable Water Slide, 6 in 1...\u001b[0m\n", + "\u001b[91m136: Guess: $128.19 Truth: $24.99 Error: $103.20 SLE: 2.57 Item: ABY Selecor Combiner Switch AB Box New P...\u001b[0m\n", + "\u001b[92m137: Guess: $39.62 Truth: $27.99 Error: $11.63 SLE: 0.11 Item: 12 Small Gun Set for Nerf Party Supplies...\u001b[0m\n", + "\u001b[91m138: Guess: $144.72 Truth: $247.00 Error: $102.28 SLE: 0.28 Item: Seymour Duncan - 11201-03-Cset - SSL-2 V...\u001b[0m\n", + "\u001b[92m139: Guess: $125.48 Truth: $121.15 Error: $4.33 SLE: 0.00 Item: Odyssey Scrim Werks SWLTPSBLK 360 degree...\u001b[0m\n", + "\u001b[92m140: Guess: $54.43 Truth: $43.37 Error: $11.06 SLE: 0.05 Item: Natural Goatskin, 22\", Medium\u001b[0m\n", + "\u001b[93m141: Guess: $121.34 Truth: $169.99 Error: $48.65 SLE: 0.11 Item: CKYSCHN Remote Control Helicopter, WLtoy...\u001b[0m\n", + "\u001b[91m142: Guess: $185.60 Truth: $549.99 Error: $364.39 SLE: 1.17 Item: Goldtone M Bass Microbass Fretless Short...\u001b[0m\n", + "\u001b[91m143: Guess: $124.63 Truth: $19.95 Error: $104.68 SLE: 3.21 Item: Remo Diplomat Coated Drumhead, 13\"\u001b[0m\n", + "\u001b[92m144: Guess: $38.82 Truth: $18.98 Error: $19.84 SLE: 0.48 Item: MOMOFULL High Chair Decorations for 1st ...\u001b[0m\n", + "\u001b[93m145: Guess: $84.84 Truth: $11.99 Error: $72.85 SLE: 3.57 Item: Nature Bound Butterfly Net Bug Catcher f...\u001b[0m\n", + "\u001b[92m146: Guess: $95.25 Truth: $56.40 Error: $38.85 SLE: 0.27 Item: Swing Set Stuff Inc. Commercial Rubber B...\u001b[0m\n", + "\u001b[92m147: Guess: $163.68 Truth: $179.99 Error: $16.31 SLE: 0.01 Item: Other, 4-String Electric/Acoustic Cutawa...\u001b[0m\n", + "\u001b[92m148: Guess: $161.41 Truth: $199.95 Error: $38.54 SLE: 0.05 Item: Classic Heartwood Bugarabu Drum 9\"x24\" -...\u001b[0m\n", + "\u001b[92m149: Guess: $54.46 Truth: $34.99 Error: $19.47 SLE: 0.19 Item: Toddler Meerkat Costume\u001b[0m\n", + "\u001b[93m150: Guess: $139.59 Truth: $74.95 Error: $64.64 SLE: 0.38 Item: CampCo Sniper Rifle Gun Building Blocks ...\u001b[0m\n", + "\u001b[93m151: Guess: $88.12 Truth: $19.99 Error: $68.13 SLE: 2.09 Item: YOCOM Wireless Lavalier Lapel Microphone...\u001b[0m\n", + "\u001b[93m152: Guess: $272.65 Truth: $199.99 Error: $72.66 SLE: 0.10 Item: Costzon Inflatable Bounce House, Kids Bo...\u001b[0m\n", + "\u001b[91m153: Guess: $239.50 Truth: $99.99 Error: $139.51 SLE: 0.75 Item: Vertex Steel String Clean Drive MKII\u001b[0m\n", + "\u001b[92m154: Guess: $63.06 Truth: $28.47 Error: $34.59 SLE: 0.60 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", + "\u001b[92m155: Guess: $105.34 Truth: $78.89 Error: $26.45 SLE: 0.08 Item: LEGO Castle Gold Getaway\u001b[0m\n", + "\u001b[92m156: Guess: $145.55 Truth: $146.00 Error: $0.45 SLE: 0.00 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", + "\u001b[92m157: Guess: $108.79 Truth: $71.98 Error: $36.81 SLE: 0.17 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", + "\u001b[91m158: Guess: $113.14 Truth: $12.29 Error: $100.85 SLE: 4.62 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", + "\u001b[92m159: Guess: $75.24 Truth: $38.99 Error: $36.25 SLE: 0.42 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", + "\u001b[92m160: Guess: $36.92 Truth: $16.97 Error: $19.95 SLE: 0.56 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", + "\u001b[91m161: Guess: $175.84 Truth: $302.49 Error: $126.65 SLE: 0.29 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", + "\u001b[92m162: Guess: $28.73 Truth: $24.95 Error: $3.78 SLE: 0.02 Item: Do A Dot Art Fruit Scented Washable Dot ...\u001b[0m\n", + "\u001b[92m163: Guess: $116.95 Truth: $79.73 Error: $37.22 SLE: 0.14 Item: Mattel Games FTB29 Phase 10 Strategy Boa...\u001b[0m\n", + "\u001b[92m164: Guess: $42.88 Truth: $3.96 Error: $38.92 SLE: 4.75 Item: American Art Classics Paul McCartney Mil...\u001b[0m\n", + "\u001b[93m165: Guess: $172.88 Truth: $99.99 Error: $72.89 SLE: 0.30 Item: Replogle Reso REP-S14 Traditional Resona...\u001b[0m\n", + "\u001b[91m166: Guess: $217.06 Truth: $32.50 Error: $184.56 SLE: 3.51 Item: Technica Brand Compatible Waste Toner Co...\u001b[0m\n", + "\u001b[92m167: Guess: $78.35 Truth: $54.99 Error: $23.36 SLE: 0.12 Item: RCMYou RC Stainless Steel Drive Shaft CV...\u001b[0m\n", + "\u001b[91m168: Guess: $116.89 Truth: $6.22 Error: $110.67 SLE: 7.80 Item: BQLZR Guitar Potentiometer B500K Push/Pu...\u001b[0m\n", + "\u001b[91m169: Guess: $170.77 Truth: $49.55 Error: $121.22 SLE: 1.50 Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", + "\u001b[93m170: Guess: $59.09 Truth: $8.99 Error: $50.10 SLE: 3.22 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", + "\u001b[93m171: Guess: $151.48 Truth: $92.16 Error: $59.32 SLE: 0.24 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", + "\u001b[92m172: Guess: $158.92 Truth: $139.99 Error: $18.93 SLE: 0.02 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", + "\u001b[93m173: Guess: $157.37 Truth: $77.98 Error: $79.39 SLE: 0.48 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", + "\u001b[92m174: Guess: $110.15 Truth: $119.95 Error: $9.80 SLE: 0.01 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", + "\u001b[91m175: Guess: $102.42 Truth: $379.95 Error: $277.53 SLE: 1.70 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", + "\u001b[92m176: Guess: $78.29 Truth: $64.99 Error: $13.30 SLE: 0.03 Item: Merchants & Marauders\u001b[0m\n", + "\u001b[93m177: Guess: $145.93 Truth: $99.00 Error: $46.93 SLE: 0.15 Item: Ryze Tech Tello - Mini Drone Quadcopter ...\u001b[0m\n", + "\u001b[92m178: Guess: $55.46 Truth: $37.50 Error: $17.96 SLE: 0.15 Item: Jigsaw Puzzles Switzerland Lion Lucerne ...\u001b[0m\n", + "\u001b[91m179: Guess: $258.65 Truth: $99.95 Error: $158.70 SLE: 0.89 Item: Avedis Zildjian Company ZILDJIAN S8S 8-I...\u001b[0m\n", + "\u001b[92m180: Guess: $61.59 Truth: $25.59 Error: $36.00 SLE: 0.73 Item: Sueseip Kids Smart Watches Girls with 24...\u001b[0m\n", + "\u001b[93m181: Guess: $228.83 Truth: $159.00 Error: $69.83 SLE: 0.13 Item: EMG ACS Acoustic Guitar Soundhole Pickup...\u001b[0m\n", + "\u001b[92m182: Guess: $170.61 Truth: $165.10 Error: $5.51 SLE: 0.00 Item: Hipshot Tone-a-Matic Tuneomatic Bridge T...\u001b[0m\n", + "\u001b[92m183: Guess: $86.64 Truth: $51.09 Error: $35.55 SLE: 0.27 Item: Sunny toys 28\" Angel Full Body Puppet\u001b[0m\n", + "\u001b[91m184: Guess: $126.04 Truth: $291.99 Error: $165.95 SLE: 0.70 Item: Btuty Eb E-flat Alto Saxophone Professio...\u001b[0m\n", + "\u001b[91m185: Guess: $100.02 Truth: $13.99 Error: $86.03 SLE: 3.64 Item: Luluo Santa Claus Christmas Kids Santa S...\u001b[0m\n", + "\u001b[93m186: Guess: $62.63 Truth: $139.95 Error: $77.32 SLE: 0.63 Item: OEM Samsung Dryer Lint Filter Screen Tra...\u001b[0m\n", + "\u001b[92m187: Guess: $46.86 Truth: $9.99 Error: $36.87 SLE: 2.16 Item: Funnlot Hanukkah Games Chanukah Game Han...\u001b[0m\n", + "\u001b[92m188: Guess: $37.46 Truth: $9.99 Error: $27.47 SLE: 1.57 Item: Coola Christmas Crafts Kit for Kids - To...\u001b[0m\n", + "\u001b[91m189: Guess: $256.96 Truth: $699.99 Error: $443.03 SLE: 1.00 Item: Ibanez AG95QA AG Artcore Expressionist 6...\u001b[0m\n", + "\u001b[92m190: Guess: $168.34 Truth: $139.41 Error: $28.93 SLE: 0.04 Item: DW Hobby 3D Flying Airplane YAK55 800mm ...\u001b[0m\n", + "\u001b[92m191: Guess: $104.78 Truth: $132.95 Error: $28.17 SLE: 0.06 Item: STEAMFORGED Godtear Eternal Glade Starte...\u001b[0m\n", + "\u001b[91m192: Guess: $92.19 Truth: $8.90 Error: $83.29 SLE: 5.03 Item: Interal Shop Guitar and Bass String Mute...\u001b[0m\n", + "\u001b[92m193: Guess: $102.51 Truth: $69.41 Error: $33.10 SLE: 0.15 Item: Electrolux 316443601 Door Handle\u001b[0m\n", + "\u001b[91m194: Guess: $178.83 Truth: $49.95 Error: $128.88 SLE: 1.59 Item: Maisto R/C 27Mhz (3-Channel) Rock Crawle...\u001b[0m\n", + "\u001b[92m195: Guess: $58.70 Truth: $20.99 Error: $37.71 SLE: 1.00 Item: Odowalker Pack of 4 Dishwasher Premium W...\u001b[0m\n", + "\u001b[91m196: Guess: $111.60 Truth: $314.95 Error: $203.35 SLE: 1.06 Item: Pokemon TCG: XY Evolutions Elite Trainer...\u001b[0m\n", + "\u001b[93m197: Guess: $87.81 Truth: $27.99 Error: $59.82 SLE: 1.25 Item: Transformer Toy Deformation Robot Toy St...\u001b[0m\n", + "\u001b[92m198: Guess: $84.79 Truth: $54.99 Error: $29.80 SLE: 0.18 Item: PlanToys Van Walker, Yellow\u001b[0m\n", + "\u001b[93m199: Guess: $75.89 Truth: $27.99 Error: $47.90 SLE: 0.95 Item: Living Nature Brown Bear, Realistic Medi...\u001b[0m\n", + "\u001b[91m200: Guess: $129.05 Truth: $16.99 Error: $112.06 SLE: 3.91 Item: Silence Razer Mini Shock Mount with Foam...\u001b[0m\n", + "\u001b[92m201: Guess: $142.16 Truth: $119.95 Error: $22.21 SLE: 0.03 Item: LEGO NINJAGO Fire Stone Mech 71720 Build...\u001b[0m\n", + "\u001b[92m202: Guess: $147.73 Truth: $110.67 Error: $37.06 SLE: 0.08 Item: Saint Seiya Myth Cloth Sea Dragon Kanon ...\u001b[0m\n", + "\u001b[92m203: Guess: $93.76 Truth: $57.99 Error: $35.77 SLE: 0.22 Item: Funko POP Games: Fallout 4 Liberty Prime...\u001b[0m\n", + "\u001b[92m204: Guess: $154.49 Truth: $169.00 Error: $14.51 SLE: 0.01 Item: Kala KA-CE Satin Mahogany Concert Electr...\u001b[0m\n", + "\u001b[92m205: Guess: $134.10 Truth: $108.15 Error: $25.95 SLE: 0.05 Item: Bandaï Saint Seiya Saint Cloth Myth Appe...\u001b[0m\n", + "\u001b[93m206: Guess: $87.33 Truth: $30.99 Error: $56.34 SLE: 1.03 Item: LESHITIAN Kids Laptop, 65 Learning Activ...\u001b[0m\n", + "\u001b[91m207: Guess: $174.25 Truth: $399.99 Error: $225.74 SLE: 0.69 Item: Causeair Big Inflatable Bounce House wit...\u001b[0m\n", + "\u001b[93m208: Guess: $68.68 Truth: $128.89 Error: $60.21 SLE: 0.39 Item: MAYS 3D Metal Puzzle Kit - Moving Mechan...\u001b[0m\n", + "\u001b[93m209: Guess: $164.46 Truth: $219.95 Error: $55.49 SLE: 0.08 Item: DisplayGifts Electric Guitar Display Cas...\u001b[0m\n", + "\u001b[91m210: Guess: $151.73 Truth: $42.98 Error: $108.75 SLE: 1.55 Item: QT RC Airplane, 2 Channel RC Plane, 2.4G...\u001b[0m\n", + "\u001b[93m211: Guess: $98.43 Truth: $37.76 Error: $60.67 SLE: 0.89 Item: Traxxas 5374X BRUSHLESS E-REVO Wheel/TI\u001b[0m\n", + "\u001b[92m212: Guess: $138.95 Truth: $98.99 Error: $39.96 SLE: 0.11 Item: Kotobukiya ARTFX+ Star Wars Stormtrooper...\u001b[0m\n", + "\u001b[93m213: Guess: $145.08 Truth: $189.95 Error: $44.87 SLE: 0.07 Item: Aosom 12V Ride On Toy Car for Kids with ...\u001b[0m\n", + "\u001b[93m214: Guess: $82.96 Truth: $5.48 Error: $77.48 SLE: 6.56 Item: Violin Bow Clip Kit Strings Bow Fixed Gr...\u001b[0m\n", + "\u001b[93m215: Guess: $115.10 Truth: $75.00 Error: $40.10 SLE: 0.18 Item: Funko POP Movies: Boondock Saints Connor...\u001b[0m\n", + "\u001b[92m216: Guess: $66.48 Truth: $34.99 Error: $31.49 SLE: 0.40 Item: Seasons Viking Princess Costume, Medium ...\u001b[0m\n", + "\u001b[93m217: Guess: $91.54 Truth: $16.99 Error: $74.55 SLE: 2.68 Item: Ernie Ball 2566 Aluminum Bronze Medium-L...\u001b[0m\n", + "\u001b[92m218: Guess: $40.28 Truth: $19.99 Error: $20.29 SLE: 0.46 Item: Egg Holder for Refrigerator Automatic Ro...\u001b[0m\n", + "\u001b[93m219: Guess: $184.21 Truth: $129.99 Error: $54.22 SLE: 0.12 Item: Zoom MS-50G MultiStomp Guitar Effects Pe...\u001b[0m\n", + "\u001b[91m220: Guess: $134.25 Truth: $254.35 Error: $120.10 SLE: 0.40 Item: SOUTHBEND RANGE 4440461 Hi Limit Retrofi...\u001b[0m\n", + "\u001b[92m221: Guess: $66.39 Truth: $37.99 Error: $28.40 SLE: 0.30 Item: 12 pack Acoustic Panels Self-Adhesive, 1...\u001b[0m\n", + "\u001b[93m222: Guess: $165.80 Truth: $219.99 Error: $54.19 SLE: 0.08 Item: Nektar Pacer - USB MIDI Footswitch Contr...\u001b[0m\n", + "\u001b[92m223: Guess: $88.71 Truth: $79.98 Error: $8.73 SLE: 0.01 Item: Steel Tongue Drum, Handpan Tank Drum 11 ...\u001b[0m\n", + "\u001b[93m224: Guess: $114.98 Truth: $51.95 Error: $63.03 SLE: 0.61 Item: Protect'em Covers Padded Dust Cover with...\u001b[0m\n", + "\u001b[93m225: Guess: $161.43 Truth: $94.66 Error: $66.77 SLE: 0.28 Item: Beast Kingdom The Dark Knight Returns: B...\u001b[0m\n", + "\u001b[93m226: Guess: $67.52 Truth: $16.99 Error: $50.53 SLE: 1.79 Item: Ant Mag Guitar Hanger Wall Mount Hooks S...\u001b[0m\n", + "\u001b[91m227: Guess: $137.12 Truth: $48.95 Error: $88.17 SLE: 1.03 Item: Diamond Select Toys Marvel Select: Gambi...\u001b[0m\n", + "\u001b[92m228: Guess: $58.47 Truth: $62.99 Error: $4.52 SLE: 0.01 Item: Shopkins Food Themed Pack Cupcake Collec...\u001b[0m\n", + "\u001b[92m229: Guess: $21.29 Truth: $24.95 Error: $3.66 SLE: 0.02 Item: Wettarn 10 Set Graduation Party Balloon ...\u001b[0m\n", + "\u001b[93m230: Guess: $125.28 Truth: $63.98 Error: $61.30 SLE: 0.44 Item: Spider-Man Marvel The Amazing Spider-Man...\u001b[0m\n", + "\u001b[93m231: Guess: $136.72 Truth: $84.95 Error: $51.77 SLE: 0.22 Item: Hot Wheels Team Hot Wheels Total Control...\u001b[0m\n", + "\u001b[93m232: Guess: $90.05 Truth: $39.99 Error: $50.06 SLE: 0.64 Item: DNYSYSJ Mini Portable Washing Machine, P...\u001b[0m\n", + "\u001b[92m233: Guess: $54.60 Truth: $42.99 Error: $11.61 SLE: 0.05 Item: Disco Mirror Ball Silver Hanging Balls f...\u001b[0m\n", + "\u001b[91m234: Guess: $110.90 Truth: $6.00 Error: $104.90 SLE: 7.68 Item: Djeco Stickers, Knights\u001b[0m\n", + "\u001b[92m235: Guess: $35.10 Truth: $28.89 Error: $6.21 SLE: 0.04 Item: PK Power AC/DC Adapter for Kurzweil Arti...\u001b[0m\n", + "\u001b[93m236: Guess: $93.33 Truth: $19.99 Error: $73.34 SLE: 2.26 Item: Supplying Demand WE04X20685 WE4M336 Clot...\u001b[0m\n", + "\u001b[93m237: Guess: $130.93 Truth: $75.00 Error: $55.93 SLE: 0.30 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", + "\u001b[92m238: Guess: $104.04 Truth: $79.99 Error: $24.05 SLE: 0.07 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", + "\u001b[91m239: Guess: $104.83 Truth: $11.95 Error: $92.88 SLE: 4.41 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", + "\u001b[92m240: Guess: $48.70 Truth: $46.39 Error: $2.31 SLE: 0.00 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", + "\u001b[92m241: Guess: $59.68 Truth: $28.99 Error: $30.69 SLE: 0.50 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", + "\u001b[91m242: Guess: $128.82 Truth: $35.96 Error: $92.86 SLE: 1.58 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", + "\u001b[92m243: Guess: $45.41 Truth: $56.40 Error: $10.99 SLE: 0.05 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", + "\u001b[93m244: Guess: $149.25 Truth: $99.00 Error: $50.25 SLE: 0.17 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", + "\u001b[93m245: Guess: $144.93 Truth: $82.88 Error: $62.05 SLE: 0.31 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", + "\u001b[92m246: Guess: $107.98 Truth: $84.88 Error: $23.10 SLE: 0.06 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", + "\u001b[93m247: Guess: $94.02 Truth: $53.00 Error: $41.02 SLE: 0.32 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", + "\u001b[93m248: Guess: $58.49 Truth: $12.13 Error: $46.36 SLE: 2.28 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", + "\u001b[92m249: Guess: $132.94 Truth: $114.99 Error: $17.95 SLE: 0.02 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", + "\u001b[92m250: Guess: $67.26 Truth: $51.29 Error: $15.97 SLE: 0.07 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Tester.test(rf, test)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "192b94ac-37d0-4569-bc7c-8fc4f92d129b", + "metadata": {}, + "outputs": [], + "source": [ + "def xg_b(item):\n", + " return xg_boost.price(description(item))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a3fa01c2-42d9-4ce7-ae36-1d874a0003c1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "216.84239" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "xg_b(test[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9183aab7-0586-4d43-b212-c40442c7ab34", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[91m1: Guess: $216.84 Truth: $32.70 Error: $184.14 SLE: 3.48 Item: AXE HEAVEN Stranger Things Eddie's Guita...\u001b[0m\n", + "\u001b[93m2: Guess: $128.56 Truth: $213.94 Error: $85.38 SLE: 0.26 Item: Southbend Range 1175016 Natural Gas Valv...\u001b[0m\n", + "\u001b[92m3: Guess: $62.34 Truth: $79.99 Error: $17.65 SLE: 0.06 Item: SUNY Party Lights DJ Stage Lighting 12 G...\u001b[0m\n", + "\u001b[92m4: Guess: $26.43 Truth: $18.99 Error: $7.44 SLE: 0.10 Item: 113PCS Birthday Party Supplies and Decor...\u001b[0m\n", + "\u001b[91m5: Guess: $205.67 Truth: $44.95 Error: $160.72 SLE: 2.26 Item: Artist Unknown A- B Box, Black (T-LPSMR ...\u001b[0m\n", + "\u001b[92m6: Guess: $64.13 Truth: $84.99 Error: $20.86 SLE: 0.08 Item: PINK Child’s Practice Chanter by R.G.Har...\u001b[0m\n", + "\u001b[91m7: Guess: $69.80 Truth: $592.95 Error: $523.15 SLE: 4.52 Item: PENNZONI 4ft Drum Shield w/Deflectors & ...\u001b[0m\n", + "\u001b[91m8: Guess: $118.38 Truth: $325.01 Error: $206.63 SLE: 1.01 Item: LEGO Bionicle Umarak The Destroyer (7131...\u001b[0m\n", + "\u001b[92m9: Guess: $65.93 Truth: $90.99 Error: $25.06 SLE: 0.10 Item: (Red) - Hape E3153 Toy, Multicolor\u001b[0m\n", + "\u001b[92m10: Guess: $66.06 Truth: $52.39 Error: $13.67 SLE: 0.05 Item: LEGO DUPLO My Town Birthday Party 10832,...\u001b[0m\n", + "\u001b[91m11: Guess: $115.36 Truth: $202.47 Error: $87.11 SLE: 0.31 Item: Aquamarine Fate/Grand Order: Alter Ego/O...\u001b[0m\n", + "\u001b[92m12: Guess: $139.16 Truth: $161.58 Error: $22.42 SLE: 0.02 Item: Mytheos Kakegurui xx: Mary Saotome 1:7 S...\u001b[0m\n", + "\u001b[91m13: Guess: $125.32 Truth: $25.95 Error: $99.37 SLE: 2.39 Item: Rotosond Stainless Steel Roundwound Bass...\u001b[0m\n", + "\u001b[92m14: Guess: $32.48 Truth: $44.05 Error: $11.57 SLE: 0.09 Item: DKKY Upgrade Shock Towers Bracket fit fo...\u001b[0m\n", + "\u001b[91m15: Guess: $195.89 Truth: $69.99 Error: $125.90 SLE: 1.04 Item: Ranch Concert Ukulele 23 inch Profession...\u001b[0m\n", + "\u001b[92m16: Guess: $119.14 Truth: $99.95 Error: $19.19 SLE: 0.03 Item: BOYA Large-Diaphragm Studio Microphone P...\u001b[0m\n", + "\u001b[93m17: Guess: $129.97 Truth: $89.69 Error: $40.28 SLE: 0.14 Item: TOYSLY Off-Road Pickup J40 Land Cruiser ...\u001b[0m\n", + "\u001b[92m18: Guess: $123.96 Truth: $127.99 Error: $4.03 SLE: 0.00 Item: Medicom The Return of Superman: Cyborg S...\u001b[0m\n", + "\u001b[91m19: Guess: $117.00 Truth: $34.94 Error: $82.06 SLE: 1.41 Item: Axe Heaven FS-013 Fender Strat Cream Fin...\u001b[0m\n", + "\u001b[92m20: Guess: $40.33 Truth: $34.99 Error: $5.34 SLE: 0.02 Item: Grover CP68 Leather Handle Side Buckle, ...\u001b[0m\n", + "\u001b[92m21: Guess: $52.77 Truth: $72.99 Error: $20.22 SLE: 0.10 Item: Costzon 3 in 1 Kids Art Easel, Double-Si...\u001b[0m\n", + "\u001b[91m22: Guess: $97.83 Truth: $16.99 Error: $80.84 SLE: 2.90 Item: Hot Wheels id Vehicle The Dark Knight Ba...\u001b[0m\n", + "\u001b[92m23: Guess: $0.00 Truth: $5.46 Error: $5.46 SLE: 3.48 Item: \"The Secret Life Of Pets 2\" Green Party ...\u001b[0m\n", + "\u001b[92m24: Guess: $61.98 Truth: $23.55 Error: $38.43 SLE: 0.89 Item: Mattel Pixar Spotlight Series Woody Figu...\u001b[0m\n", + "\u001b[91m25: Guess: $144.75 Truth: $44.99 Error: $99.76 SLE: 1.33 Item: Strictly Briks Classic Stackable Basepla...\u001b[0m\n", + "\u001b[92m26: Guess: $40.48 Truth: $35.99 Error: $4.49 SLE: 0.01 Item: 4-Pack Replacement for Kenmore/Sears 795...\u001b[0m\n", + "\u001b[93m27: Guess: $91.15 Truth: $168.88 Error: $77.73 SLE: 0.37 Item: Funko POP Television (Vinyl): Breaking B...\u001b[0m\n", + "\u001b[92m28: Guess: $0.00 Truth: $12.99 Error: $12.99 SLE: 6.96 Item: 116 Pcs Dinosaur Themed Party Favors Set...\u001b[0m\n", + "\u001b[91m29: Guess: $127.80 Truth: $31.99 Error: $95.81 SLE: 1.86 Item: Barbie Made to Move Exercise, Yoga Doll\u001b[0m\n", + "\u001b[92m30: Guess: $78.41 Truth: $72.99 Error: $5.42 SLE: 0.00 Item: 1995 DC vs Marvel Base Set of 100 Cards,...\u001b[0m\n", + "\u001b[92m31: Guess: $19.82 Truth: $16.99 Error: $2.83 SLE: 0.02 Item: Clementoni \"Romantic Italy - Venice\" Puz...\u001b[0m\n", + "\u001b[93m32: Guess: $86.64 Truth: $18.41 Error: $68.23 SLE: 2.27 Item: Large Size Fast Sling Puck Game Board Fo...\u001b[0m\n", + "\u001b[92m33: Guess: $86.78 Truth: $110.99 Error: $24.21 SLE: 0.06 Item: Remo Tucked Nuskyn Conga Drumhead, 11.75...\u001b[0m\n", + "\u001b[93m34: Guess: $350.63 Truth: $539.99 Error: $189.36 SLE: 0.19 Item: Yamaha FGX830C Solid Top Cutaway Acousti...\u001b[0m\n", + "\u001b[93m35: Guess: $83.35 Truth: $41.30 Error: $42.05 SLE: 0.48 Item: Malifaux Third Edition Arcanists Colette...\u001b[0m\n", + "\u001b[92m36: Guess: $213.73 Truth: $229.95 Error: $16.22 SLE: 0.01 Item: Rockville RAM12BT 12\" Rechargable Powere...\u001b[0m\n", + "\u001b[92m37: Guess: $9.98 Truth: $3.89 Error: $6.09 SLE: 0.65 Item: Monoprice 107193 6.35-mm Stereo Plug to ...\u001b[0m\n", + "\u001b[91m38: Guess: $150.20 Truth: $14.61 Error: $135.59 SLE: 5.16 Item: Q-Parts Mini Dome Knob, EBONY ON BLACK\u001b[0m\n", + "\u001b[91m39: Guess: $163.57 Truth: $279.99 Error: $116.42 SLE: 0.29 Item: Heng Long Modified Edition 1/16 2.4ghz R...\u001b[0m\n", + "\u001b[92m40: Guess: $0.00 Truth: $15.99 Error: $15.99 SLE: 8.02 Item: Levy's Leathers MM8-BRN J.K. Gully Hook,...\u001b[0m\n", + "\u001b[92m41: Guess: $30.73 Truth: $9.99 Error: $20.74 SLE: 1.12 Item: CHIAOGOO Nylon Cable, Large, Multicolour\u001b[0m\n", + "\u001b[91m42: Guess: $119.38 Truth: $339.99 Error: $220.61 SLE: 1.08 Item: Bunnel Pupil Student Violin Outfit 1/2 S...\u001b[0m\n", + "\u001b[92m43: Guess: $60.59 Truth: $38.99 Error: $21.60 SLE: 0.19 Item: UGEARS Mechanical Wooden 3D Puzzle Model...\u001b[0m\n", + "\u001b[92m44: Guess: $32.13 Truth: $43.99 Error: $11.86 SLE: 0.09 Item: Puzzled Bundle of Dragons Asian Theme: L...\u001b[0m\n", + "\u001b[92m45: Guess: $35.57 Truth: $8.94 Error: $26.63 SLE: 1.70 Item: Barbie Chelsea Doll (6-inch Brunette) We...\u001b[0m\n", + "\u001b[92m46: Guess: $76.27 Truth: $46.30 Error: $29.97 SLE: 0.24 Item: amscan Miranda Rights\u001b[0m\n", + "\u001b[92m47: Guess: $38.76 Truth: $1.99 Error: $36.77 SLE: 6.70 Item: RetroArcade.us Jamma Standard and Plus C...\u001b[0m\n", + "\u001b[92m48: Guess: $27.40 Truth: $16.99 Error: $10.41 SLE: 0.21 Item: Seismic Audio SAGCRBK-20 Black 20-Feet W...\u001b[0m\n", + "\u001b[91m49: Guess: $44.20 Truth: $269.99 Error: $225.79 SLE: 3.21 Item: 1000pcs 14g Monte Carlo Poker Club Poker...\u001b[0m\n", + "\u001b[92m50: Guess: $66.26 Truth: $39.97 Error: $26.29 SLE: 0.25 Item: Cardfight Vanguard G Start Deck Odyssey ...\u001b[0m\n", + "\u001b[93m51: Guess: $65.75 Truth: $17.99 Error: $47.76 SLE: 1.58 Item: GOVOY Color Dough Dentist Doctor Drill a...\u001b[0m\n", + "\u001b[92m52: Guess: $42.44 Truth: $19.00 Error: $23.44 SLE: 0.60 Item: Wegrower Hand Chimes, Metal Chord Wind C...\u001b[0m\n", + "\u001b[92m53: Guess: $167.88 Truth: $199.00 Error: $31.12 SLE: 0.03 Item: 2.4GHz Wireless Lavalier Microphone Syst...\u001b[0m\n", + "\u001b[92m54: Guess: $26.41 Truth: $52.99 Error: $26.58 SLE: 0.46 Item: GLOBACT Steel 50T Center Diff Set Differ...\u001b[0m\n", + "\u001b[92m55: Guess: $66.99 Truth: $55.68 Error: $11.31 SLE: 0.03 Item: GENUINE Frigidaire 316442401 Range/Stove...\u001b[0m\n", + "\u001b[92m56: Guess: $65.69 Truth: $49.99 Error: $15.70 SLE: 0.07 Item: Jeereal Full Grain Genuine Padded Leathe...\u001b[0m\n", + "\u001b[92m57: Guess: $43.51 Truth: $20.99 Error: $22.52 SLE: 0.50 Item: Supplying Demand 8299642 W10135399 Cloth...\u001b[0m\n", + "\u001b[93m58: Guess: $105.76 Truth: $29.99 Error: $75.77 SLE: 1.53 Item: Electric Guitar Neck, Paddle Head DIY Un...\u001b[0m\n", + "\u001b[93m59: Guess: $190.88 Truth: $129.99 Error: $60.89 SLE: 0.15 Item: MXR M75 Super Badass Distortion Guitar E...\u001b[0m\n", + "\u001b[91m60: Guess: $220.38 Truth: $45.95 Error: $174.43 SLE: 2.40 Item: TCFUNDY DMX 512 Controller, 192 Channel ...\u001b[0m\n", + "\u001b[92m61: Guess: $180.20 Truth: $209.99 Error: $29.79 SLE: 0.02 Item: Vangoa 5 String Banjo Remo Head Closed S...\u001b[0m\n", + "\u001b[92m62: Guess: $107.66 Truth: $119.95 Error: $12.29 SLE: 0.01 Item: The Simpsons Exclusive Playset Moe's Bar...\u001b[0m\n", + "\u001b[92m63: Guess: $167.39 Truth: $179.00 Error: $11.61 SLE: 0.00 Item: Celestion G12-65 Heritage Guitar Speaker...\u001b[0m\n", + "\u001b[93m64: Guess: $86.71 Truth: $17.99 Error: $68.72 SLE: 2.34 Item: Sinnya 6 Pack Filter T HFT600 Filter Com...\u001b[0m\n", + "\u001b[92m65: Guess: $50.57 Truth: $22.95 Error: $27.62 SLE: 0.59 Item: PANYARD Steel Drum (JUMBIE JAM)\u001b[0m\n", + "\u001b[91m66: Guess: $206.57 Truth: $89.00 Error: $117.57 SLE: 0.70 Item: Zwide Professional Wireless Lavalier Mic...\u001b[0m\n", + "\u001b[92m67: Guess: $89.95 Truth: $82.90 Error: $7.05 SLE: 0.01 Item: Good Smile Re: Zero - Starting Life in A...\u001b[0m\n", + "\u001b[91m68: Guess: $88.44 Truth: $219.99 Error: $131.55 SLE: 0.82 Item: Latin Percussion LP981 LP Timbale Stand,...\u001b[0m\n", + "\u001b[92m69: Guess: $44.66 Truth: $43.59 Error: $1.07 SLE: 0.00 Item: Replacement Water filter for Maytag UKF-...\u001b[0m\n", + "\u001b[91m70: Guess: $189.13 Truth: $19.95 Error: $169.18 SLE: 4.86 Item: Monster Trombone Care and Cleaning Kit |...\u001b[0m\n", + "\u001b[92m71: Guess: $85.77 Truth: $101.00 Error: $15.23 SLE: 0.03 Item: LG Electronics AEQ72909602 Refrigerator ...\u001b[0m\n", + "\u001b[91m72: Guess: $109.51 Truth: $239.99 Error: $130.48 SLE: 0.61 Item: Korilakkuma San-X Original Plush (Jumbo)\u001b[0m\n", + "\u001b[93m73: Guess: $90.11 Truth: $28.61 Error: $61.50 SLE: 1.26 Item: Great Eastern Entertainment Cowboy Bebop...\u001b[0m\n", + "\u001b[92m74: Guess: $78.61 Truth: $55.99 Error: $22.62 SLE: 0.11 Item: Haxtec Natural Amethyst Gemstone DND Dic...\u001b[0m\n", + "\u001b[92m75: Guess: $87.18 Truth: $49.43 Error: $37.75 SLE: 0.31 Item: Pop 587 The Elder Scrolls V Skyrim Sheog...\u001b[0m\n", + "\u001b[92m76: Guess: $98.66 Truth: $97.49 Error: $1.17 SLE: 0.00 Item: Funko Pop Games: Mortal Combat - Kitana ...\u001b[0m\n", + "\u001b[91m77: Guess: $237.84 Truth: $439.99 Error: $202.15 SLE: 0.38 Item: SKB 3I-3019-12BC iSeries 30 1/2\" x 19 1/...\u001b[0m\n", + "\u001b[92m78: Guess: $56.88 Truth: $34.99 Error: $21.89 SLE: 0.23 Item: Veemoon Wedding Cake Topper Figurines Ol...\u001b[0m\n", + "\u001b[92m79: Guess: $162.12 Truth: $146.99 Error: $15.13 SLE: 0.01 Item: Kinglos 4/4 White Ebony Fitted Solid Woo...\u001b[0m\n", + "\u001b[92m80: Guess: $37.11 Truth: $8.39 Error: $28.72 SLE: 1.96 Item: Reaper Miniatures 2008 Christmas Sophie ...\u001b[0m\n", + "\u001b[92m81: Guess: $30.77 Truth: $38.89 Error: $8.12 SLE: 0.05 Item: Greture Sunflower Home Kitchen Decoratio...\u001b[0m\n", + "\u001b[92m82: Guess: $126.47 Truth: $97.95 Error: $28.52 SLE: 0.06 Item: Stormcast Eternals Celestant-Prime Hamme...\u001b[0m\n", + "\u001b[93m83: Guess: $137.08 Truth: $199.99 Error: $62.91 SLE: 0.14 Item: JIM DUNLOP Slash Wah Guitar Effects Peda...\u001b[0m\n", + "\u001b[92m84: Guess: $75.84 Truth: $41.99 Error: $33.85 SLE: 0.34 Item: Bilingual Quiet Book for Toddlers | Writ...\u001b[0m\n", + "\u001b[91m85: Guess: $246.62 Truth: $96.95 Error: $149.67 SLE: 0.86 Item: Exotic Electric Guitar Body Blank Wood V...\u001b[0m\n", + "\u001b[91m86: Guess: $282.58 Truth: $179.00 Error: $103.58 SLE: 0.21 Item: CAVALIERE Under Cabinet Range Hood 30\" I...\u001b[0m\n", + "\u001b[93m87: Guess: $115.83 Truth: $40.99 Error: $74.84 SLE: 1.05 Item: JUSOP Microphone Isolation Shield with P...\u001b[0m\n", + "\u001b[92m88: Guess: $11.10 Truth: $2.39 Error: $8.71 SLE: 1.62 Item: YU-GI-OH! - World of Prophecy (JOTL-EN02...\u001b[0m\n", + "\u001b[92m89: Guess: $48.59 Truth: $19.49 Error: $29.10 SLE: 0.78 Item: 240356402 Door Bin Shelf - Compatible Wi...\u001b[0m\n", + "\u001b[93m90: Guess: $206.88 Truth: $259.95 Error: $53.07 SLE: 0.05 Item: Odyssey FZPIDDJSXBL Black Label Flight Z...\u001b[0m\n", + "\u001b[91m91: Guess: $169.55 Truth: $601.00 Error: $431.45 SLE: 1.59 Item: Samson Expedition XP312w 12” 300 Watt Ba...\u001b[0m\n", + "\u001b[92m92: Guess: $53.01 Truth: $29.99 Error: $23.02 SLE: 0.31 Item: Fanattik Yu-Gi-Oh Metal Card White Drago...\u001b[0m\n", + "\u001b[93m93: Guess: $61.31 Truth: $2.08 Error: $59.23 SLE: 9.04 Item: Magic The Gathering - Voracious Dragon -...\u001b[0m\n", + "\u001b[93m94: Guess: $85.56 Truth: $36.99 Error: $48.57 SLE: 0.68 Item: Marvel Legends Annihilus Series Build-A-...\u001b[0m\n", + "\u001b[92m95: Guess: $102.11 Truth: $69.99 Error: $32.12 SLE: 0.14 Item: XPIY Tricycle for Toddlers Age 2 to 4 Ye...\u001b[0m\n", + "\u001b[92m96: Guess: $87.02 Truth: $75.00 Error: $12.02 SLE: 0.02 Item: Super Heroes Lego 76133 Spider-Man Car C...\u001b[0m\n", + "\u001b[92m97: Guess: $93.47 Truth: $57.98 Error: $35.49 SLE: 0.22 Item: Batman Dark Knight Movie Master Exclusiv...\u001b[0m\n", + "\u001b[93m98: Guess: $129.67 Truth: $55.89 Error: $73.78 SLE: 0.69 Item: KOKKO Looper Guitar Pedal Effects Mini L...\u001b[0m\n", + "\u001b[92m99: Guess: $49.16 Truth: $58.99 Error: $9.83 SLE: 0.03 Item: Upgraded Microphone Studio Recording Kit...\u001b[0m\n", + "\u001b[92m100: Guess: $67.88 Truth: $56.92 Error: $10.96 SLE: 0.03 Item: Redcat Racing Hexfly 3600 25C 11.1V LiPo...\u001b[0m\n", + "\u001b[93m101: Guess: $83.44 Truth: $33.99 Error: $49.45 SLE: 0.78 Item: CuberSpeed GAN 356 Air Speed Cube GAN 11...\u001b[0m\n", + "\u001b[92m102: Guess: $0.00 Truth: $3.07 Error: $3.07 SLE: 1.97 Item: Yu-Gi-Oh! - Icarus Attack (EOJ-EN055) - ...\u001b[0m\n", + "\u001b[91m103: Guess: $164.87 Truth: $48.64 Error: $116.23 SLE: 1.46 Item: Hohner Green Tones 3750 Beginner Drum Se...\u001b[0m\n", + "\u001b[92m104: Guess: $22.46 Truth: $32.62 Error: $10.16 SLE: 0.13 Item: Musiclily Pro 13-Hole Aluminum Vintage 6...\u001b[0m\n", + "\u001b[93m105: Guess: $215.32 Truth: $149.99 Error: $65.33 SLE: 0.13 Item: PreSonus AudioBox iTwo Studio USB 2.0 Re...\u001b[0m\n", + "\u001b[92m106: Guess: $163.63 Truth: $199.95 Error: $36.32 SLE: 0.04 Item: Rockville MOTIONSTRIP Motorized Moving H...\u001b[0m\n", + "\u001b[93m107: Guess: $66.90 Truth: $22.88 Error: $44.02 SLE: 1.09 Item: Hot Racing TFF125HM01 Aluminum reinforce...\u001b[0m\n", + "\u001b[92m108: Guess: $53.69 Truth: $22.23 Error: $31.46 SLE: 0.73 Item: Disney Cars Toys Movie Die-cast Characte...\u001b[0m\n", + "\u001b[92m109: Guess: $40.12 Truth: $62.99 Error: $22.87 SLE: 0.20 Item: HASMX 2 Pack Replacement Humidifier Filt...\u001b[0m\n", + "\u001b[91m110: Guess: $173.65 Truth: $299.00 Error: $125.35 SLE: 0.29 Item: Frigidaire 5304495520 Oven Control Board...\u001b[0m\n", + "\u001b[92m111: Guess: $22.33 Truth: $1.09 Error: $21.24 SLE: 5.82 Item: Magic: the Gathering - Drake Umbra - Ris...\u001b[0m\n", + "\u001b[93m112: Guess: $59.99 Truth: $118.99 Error: $59.00 SLE: 0.46 Item: Mezco Toyz Living Dead Dolls Series 23 -...\u001b[0m\n", + "\u001b[92m113: Guess: $107.98 Truth: $119.81 Error: $11.83 SLE: 0.01 Item: Hey! Play! Classic Giant Wooden Blocks T...\u001b[0m\n", + "\u001b[92m114: Guess: $12.46 Truth: $21.99 Error: $9.53 SLE: 0.29 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", + "\u001b[93m115: Guess: $97.20 Truth: $21.75 Error: $75.45 SLE: 2.14 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", + "\u001b[93m116: Guess: $108.61 Truth: $41.88 Error: $66.73 SLE: 0.88 Item: Funko Pop! Moment: Inuyasha - Inuyasha V...\u001b[0m\n", + "\u001b[91m117: Guess: $138.18 Truth: $275.00 Error: $136.82 SLE: 0.47 Item: Kotobukiya Dc Comics Batgirl Bishoujo St...\u001b[0m\n", + "\u001b[92m118: Guess: $80.64 Truth: $72.99 Error: $7.65 SLE: 0.01 Item: Ravensburger 540 Celestial Map Gloin- in...\u001b[0m\n", + "\u001b[92m119: Guess: $27.36 Truth: $29.15 Error: $1.79 SLE: 0.00 Item: Steiff USA Handmade Light Brown Lumpi Li...\u001b[0m\n", + "\u001b[92m120: Guess: $111.74 Truth: $98.00 Error: $13.74 SLE: 0.02 Item: Tengen Toppa Gurren Lagann Revoltech #05...\u001b[0m\n", + "\u001b[92m121: Guess: $165.23 Truth: $139.99 Error: $25.24 SLE: 0.03 Item: WWE Elite Collection Road Dogg Action Fi...\u001b[0m\n", + "\u001b[92m122: Guess: $128.78 Truth: $94.95 Error: $33.83 SLE: 0.09 Item: Singing Machine STVG782BK Groove XL Kara...\u001b[0m\n", + "\u001b[92m123: Guess: $52.15 Truth: $41.99 Error: $10.16 SLE: 0.04 Item: Ruibo 88 Key Keyboard Gig Bag Case for E...\u001b[0m\n", + "\u001b[93m124: Guess: $90.89 Truth: $19.99 Error: $70.90 SLE: 2.18 Item: STAR WARS The Vintage Collection Snaggle...\u001b[0m\n", + "\u001b[92m125: Guess: $185.91 Truth: $197.99 Error: $12.08 SLE: 0.00 Item: Truetone V3 Jekyll & Hyde Overdrive & Di...\u001b[0m\n", + "\u001b[93m126: Guess: $74.40 Truth: $12.76 Error: $61.64 SLE: 2.89 Item: 13 Inch Authentic Indian Wooden Bamboo F...\u001b[0m\n", + "\u001b[91m127: Guess: $82.67 Truth: $179.95 Error: $97.28 SLE: 0.59 Item: 48 Pack of (12 x 12 x 2)Inch Acoustical ...\u001b[0m\n", + "\u001b[92m128: Guess: $16.87 Truth: $16.99 Error: $0.12 SLE: 0.00 Item: Writing Tablet 10 Inch Drawing Pad, Colo...\u001b[0m\n", + "\u001b[91m129: Guess: $163.72 Truth: $529.20 Error: $365.48 SLE: 1.37 Item: TAMIYA 1/14 King Hauler 10X8WD Semi Trac...\u001b[0m\n", + "\u001b[92m130: Guess: $66.88 Truth: $39.59 Error: $27.29 SLE: 0.26 Item: DIAMOND SELECT TOYS John Wick 3 Casual S...\u001b[0m\n", + "\u001b[92m131: Guess: $153.05 Truth: $174.42 Error: $21.37 SLE: 0.02 Item: Bandai Tamashii Nations The Dark Knight ...\u001b[0m\n", + "\u001b[93m132: Guess: $78.08 Truth: $17.99 Error: $60.09 SLE: 2.03 Item: Jiayouy 15Pcs 4/4-3/4 Size Violin Fiddle...\u001b[0m\n", + "\u001b[92m133: Guess: $142.79 Truth: $149.00 Error: $6.21 SLE: 0.00 Item: Mould King 13082 Pickup Truck Block Kits...\u001b[0m\n", + "\u001b[92m134: Guess: $29.66 Truth: $49.99 Error: $20.33 SLE: 0.26 Item: UGEARS 3D Puzzle for Board Games - Woode...\u001b[0m\n", + "\u001b[91m135: Guess: $109.24 Truth: $359.99 Error: $250.75 SLE: 1.41 Item: HONEY JOY Inflatable Water Slide, 6 in 1...\u001b[0m\n", + "\u001b[91m136: Guess: $130.35 Truth: $24.99 Error: $105.36 SLE: 2.62 Item: ABY Selecor Combiner Switch AB Box New P...\u001b[0m\n", + "\u001b[92m137: Guess: $29.88 Truth: $27.99 Error: $1.89 SLE: 0.00 Item: 12 Small Gun Set for Nerf Party Supplies...\u001b[0m\n", + "\u001b[91m138: Guess: $114.26 Truth: $247.00 Error: $132.74 SLE: 0.59 Item: Seymour Duncan - 11201-03-Cset - SSL-2 V...\u001b[0m\n", + "\u001b[92m139: Guess: $120.96 Truth: $121.15 Error: $0.19 SLE: 0.00 Item: Odyssey Scrim Werks SWLTPSBLK 360 degree...\u001b[0m\n", + "\u001b[92m140: Guess: $30.69 Truth: $43.37 Error: $12.68 SLE: 0.11 Item: Natural Goatskin, 22\", Medium\u001b[0m\n", + "\u001b[92m141: Guess: $131.81 Truth: $169.99 Error: $38.18 SLE: 0.06 Item: CKYSCHN Remote Control Helicopter, WLtoy...\u001b[0m\n", + "\u001b[91m142: Guess: $182.45 Truth: $549.99 Error: $367.54 SLE: 1.21 Item: Goldtone M Bass Microbass Fretless Short...\u001b[0m\n", + "\u001b[91m143: Guess: $123.84 Truth: $19.95 Error: $103.89 SLE: 3.19 Item: Remo Diplomat Coated Drumhead, 13\"\u001b[0m\n", + "\u001b[92m144: Guess: $37.78 Truth: $18.98 Error: $18.80 SLE: 0.44 Item: MOMOFULL High Chair Decorations for 1st ...\u001b[0m\n", + "\u001b[92m145: Guess: $44.59 Truth: $11.99 Error: $32.60 SLE: 1.58 Item: Nature Bound Butterfly Net Bug Catcher f...\u001b[0m\n", + "\u001b[92m146: Guess: $93.17 Truth: $56.40 Error: $36.77 SLE: 0.25 Item: Swing Set Stuff Inc. Commercial Rubber B...\u001b[0m\n", + "\u001b[92m147: Guess: $194.32 Truth: $179.99 Error: $14.33 SLE: 0.01 Item: Other, 4-String Electric/Acoustic Cutawa...\u001b[0m\n", + "\u001b[92m148: Guess: $163.00 Truth: $199.95 Error: $36.95 SLE: 0.04 Item: Classic Heartwood Bugarabu Drum 9\"x24\" -...\u001b[0m\n", + "\u001b[92m149: Guess: $38.25 Truth: $34.99 Error: $3.26 SLE: 0.01 Item: Toddler Meerkat Costume\u001b[0m\n", + "\u001b[93m150: Guess: $144.80 Truth: $74.95 Error: $69.85 SLE: 0.43 Item: CampCo Sniper Rifle Gun Building Blocks ...\u001b[0m\n", + "\u001b[93m151: Guess: $64.77 Truth: $19.99 Error: $44.78 SLE: 1.30 Item: YOCOM Wireless Lavalier Lapel Microphone...\u001b[0m\n", + "\u001b[91m152: Guess: $360.97 Truth: $199.99 Error: $160.98 SLE: 0.35 Item: Costzon Inflatable Bounce House, Kids Bo...\u001b[0m\n", + "\u001b[91m153: Guess: $292.05 Truth: $99.99 Error: $192.06 SLE: 1.13 Item: Vertex Steel String Clean Drive MKII\u001b[0m\n", + "\u001b[92m154: Guess: $52.57 Truth: $28.47 Error: $24.10 SLE: 0.36 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", + "\u001b[93m155: Guess: $133.00 Truth: $78.89 Error: $54.11 SLE: 0.27 Item: LEGO Castle Gold Getaway\u001b[0m\n", + "\u001b[92m156: Guess: $159.70 Truth: $146.00 Error: $13.70 SLE: 0.01 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", + "\u001b[92m157: Guess: $106.21 Truth: $71.98 Error: $34.23 SLE: 0.15 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", + "\u001b[91m158: Guess: $160.51 Truth: $12.29 Error: $148.22 SLE: 6.24 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", + "\u001b[93m159: Guess: $79.32 Truth: $38.99 Error: $40.33 SLE: 0.49 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", + "\u001b[93m160: Guess: $72.08 Truth: $16.97 Error: $55.11 SLE: 1.97 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", + "\u001b[92m161: Guess: $277.93 Truth: $302.49 Error: $24.56 SLE: 0.01 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", + "\u001b[92m162: Guess: $0.00 Truth: $24.95 Error: $24.95 SLE: 10.60 Item: Do A Dot Art Fruit Scented Washable Dot ...\u001b[0m\n", + "\u001b[92m163: Guess: $66.94 Truth: $79.73 Error: $12.79 SLE: 0.03 Item: Mattel Games FTB29 Phase 10 Strategy Boa...\u001b[0m\n", + "\u001b[93m164: Guess: $50.87 Truth: $3.96 Error: $46.91 SLE: 5.51 Item: American Art Classics Paul McCartney Mil...\u001b[0m\n", + "\u001b[92m165: Guess: $136.76 Truth: $99.99 Error: $36.77 SLE: 0.10 Item: Replogle Reso REP-S14 Traditional Resona...\u001b[0m\n", + "\u001b[91m166: Guess: $134.43 Truth: $32.50 Error: $101.93 SLE: 1.95 Item: Technica Brand Compatible Waste Toner Co...\u001b[0m\n", + "\u001b[92m167: Guess: $60.02 Truth: $54.99 Error: $5.03 SLE: 0.01 Item: RCMYou RC Stainless Steel Drive Shaft CV...\u001b[0m\n", + "\u001b[92m168: Guess: $42.70 Truth: $6.22 Error: $36.48 SLE: 3.24 Item: BQLZR Guitar Potentiometer B500K Push/Pu...\u001b[0m\n", + "\u001b[91m169: Guess: $133.41 Truth: $49.55 Error: $83.86 SLE: 0.96 Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", + "\u001b[92m170: Guess: $37.26 Truth: $8.99 Error: $28.27 SLE: 1.80 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", + "\u001b[92m171: Guess: $112.17 Truth: $92.16 Error: $20.01 SLE: 0.04 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", + "\u001b[92m172: Guess: $112.60 Truth: $139.99 Error: $27.39 SLE: 0.05 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", + "\u001b[91m173: Guess: $165.99 Truth: $77.98 Error: $88.01 SLE: 0.56 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", + "\u001b[92m174: Guess: $128.69 Truth: $119.95 Error: $8.74 SLE: 0.00 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", + "\u001b[91m175: Guess: $108.46 Truth: $379.95 Error: $271.49 SLE: 1.56 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", + "\u001b[92m176: Guess: $78.30 Truth: $64.99 Error: $13.31 SLE: 0.03 Item: Merchants & Marauders\u001b[0m\n", + "\u001b[93m177: Guess: $157.23 Truth: $99.00 Error: $58.23 SLE: 0.21 Item: Ryze Tech Tello - Mini Drone Quadcopter ...\u001b[0m\n", + "\u001b[92m178: Guess: $19.49 Truth: $37.50 Error: $18.01 SLE: 0.40 Item: Jigsaw Puzzles Switzerland Lion Lucerne ...\u001b[0m\n", + "\u001b[91m179: Guess: $181.41 Truth: $99.95 Error: $81.46 SLE: 0.35 Item: Avedis Zildjian Company ZILDJIAN S8S 8-I...\u001b[0m\n", + "\u001b[92m180: Guess: $47.71 Truth: $25.59 Error: $22.12 SLE: 0.37 Item: Sueseip Kids Smart Watches Girls with 24...\u001b[0m\n", + "\u001b[93m181: Guess: $220.99 Truth: $159.00 Error: $61.99 SLE: 0.11 Item: EMG ACS Acoustic Guitar Soundhole Pickup...\u001b[0m\n", + "\u001b[92m182: Guess: $193.44 Truth: $165.10 Error: $28.34 SLE: 0.02 Item: Hipshot Tone-a-Matic Tuneomatic Bridge T...\u001b[0m\n", + "\u001b[93m183: Guess: $110.67 Truth: $51.09 Error: $59.58 SLE: 0.58 Item: Sunny toys 28\" Angel Full Body Puppet\u001b[0m\n", + "\u001b[91m184: Guess: $98.69 Truth: $291.99 Error: $193.30 SLE: 1.16 Item: Btuty Eb E-flat Alto Saxophone Professio...\u001b[0m\n", + "\u001b[93m185: Guess: $73.88 Truth: $13.99 Error: $59.89 SLE: 2.59 Item: Luluo Santa Claus Christmas Kids Santa S...\u001b[0m\n", + "\u001b[91m186: Guess: $53.97 Truth: $139.95 Error: $85.98 SLE: 0.89 Item: OEM Samsung Dryer Lint Filter Screen Tra...\u001b[0m\n", + "\u001b[92m187: Guess: $33.44 Truth: $9.99 Error: $23.45 SLE: 1.30 Item: Funnlot Hanukkah Games Chanukah Game Han...\u001b[0m\n", + "\u001b[92m188: Guess: $20.04 Truth: $9.99 Error: $10.05 SLE: 0.42 Item: Coola Christmas Crafts Kit for Kids - To...\u001b[0m\n", + "\u001b[91m189: Guess: $267.83 Truth: $699.99 Error: $432.16 SLE: 0.92 Item: Ibanez AG95QA AG Artcore Expressionist 6...\u001b[0m\n", + "\u001b[92m190: Guess: $104.57 Truth: $139.41 Error: $34.84 SLE: 0.08 Item: DW Hobby 3D Flying Airplane YAK55 800mm ...\u001b[0m\n", + "\u001b[93m191: Guess: $173.63 Truth: $132.95 Error: $40.68 SLE: 0.07 Item: STEAMFORGED Godtear Eternal Glade Starte...\u001b[0m\n", + "\u001b[92m192: Guess: $29.32 Truth: $8.90 Error: $20.42 SLE: 1.25 Item: Interal Shop Guitar and Bass String Mute...\u001b[0m\n", + "\u001b[92m193: Guess: $89.49 Truth: $69.41 Error: $20.08 SLE: 0.06 Item: Electrolux 316443601 Door Handle\u001b[0m\n", + "\u001b[91m194: Guess: $177.10 Truth: $49.95 Error: $127.15 SLE: 1.57 Item: Maisto R/C 27Mhz (3-Channel) Rock Crawle...\u001b[0m\n", + "\u001b[92m195: Guess: $48.67 Truth: $20.99 Error: $27.68 SLE: 0.66 Item: Odowalker Pack of 4 Dishwasher Premium W...\u001b[0m\n", + "\u001b[91m196: Guess: $75.60 Truth: $314.95 Error: $239.35 SLE: 2.01 Item: Pokemon TCG: XY Evolutions Elite Trainer...\u001b[0m\n", + "\u001b[91m197: Guess: $109.21 Truth: $27.99 Error: $81.22 SLE: 1.78 Item: Transformer Toy Deformation Robot Toy St...\u001b[0m\n", + "\u001b[92m198: Guess: $51.07 Truth: $54.99 Error: $3.92 SLE: 0.01 Item: PlanToys Van Walker, Yellow\u001b[0m\n", + "\u001b[93m199: Guess: $76.24 Truth: $27.99 Error: $48.25 SLE: 0.96 Item: Living Nature Brown Bear, Realistic Medi...\u001b[0m\n", + "\u001b[93m200: Guess: $64.64 Truth: $16.99 Error: $47.65 SLE: 1.68 Item: Silence Razer Mini Shock Mount with Foam...\u001b[0m\n", + "\u001b[92m201: Guess: $123.32 Truth: $119.95 Error: $3.37 SLE: 0.00 Item: LEGO NINJAGO Fire Stone Mech 71720 Build...\u001b[0m\n", + "\u001b[92m202: Guess: $111.22 Truth: $110.67 Error: $0.55 SLE: 0.00 Item: Saint Seiya Myth Cloth Sea Dragon Kanon ...\u001b[0m\n", + "\u001b[92m203: Guess: $76.65 Truth: $57.99 Error: $18.66 SLE: 0.08 Item: Funko POP Games: Fallout 4 Liberty Prime...\u001b[0m\n", + "\u001b[92m204: Guess: $170.29 Truth: $169.00 Error: $1.29 SLE: 0.00 Item: Kala KA-CE Satin Mahogany Concert Electr...\u001b[0m\n", + "\u001b[92m205: Guess: $127.41 Truth: $108.15 Error: $19.26 SLE: 0.03 Item: Bandaï Saint Seiya Saint Cloth Myth Appe...\u001b[0m\n", + "\u001b[92m206: Guess: $67.69 Truth: $30.99 Error: $36.70 SLE: 0.58 Item: LESHITIAN Kids Laptop, 65 Learning Activ...\u001b[0m\n", + "\u001b[91m207: Guess: $183.16 Truth: $399.99 Error: $216.83 SLE: 0.61 Item: Causeair Big Inflatable Bounce House wit...\u001b[0m\n", + "\u001b[93m208: Guess: $55.71 Truth: $128.89 Error: $73.18 SLE: 0.69 Item: MAYS 3D Metal Puzzle Kit - Moving Mechan...\u001b[0m\n", + "\u001b[92m209: Guess: $193.34 Truth: $219.95 Error: $26.61 SLE: 0.02 Item: DisplayGifts Electric Guitar Display Cas...\u001b[0m\n", + "\u001b[91m210: Guess: $164.56 Truth: $42.98 Error: $121.58 SLE: 1.76 Item: QT RC Airplane, 2 Channel RC Plane, 2.4G...\u001b[0m\n", + "\u001b[92m211: Guess: $21.25 Truth: $37.76 Error: $16.51 SLE: 0.31 Item: Traxxas 5374X BRUSHLESS E-REVO Wheel/TI\u001b[0m\n", + "\u001b[93m212: Guess: $154.61 Truth: $98.99 Error: $55.62 SLE: 0.20 Item: Kotobukiya ARTFX+ Star Wars Stormtrooper...\u001b[0m\n", + "\u001b[93m213: Guess: $126.97 Truth: $189.95 Error: $62.98 SLE: 0.16 Item: Aosom 12V Ride On Toy Car for Kids with ...\u001b[0m\n", + "\u001b[93m214: Guess: $46.51 Truth: $5.48 Error: $41.03 SLE: 3.97 Item: Violin Bow Clip Kit Strings Bow Fixed Gr...\u001b[0m\n", + "\u001b[92m215: Guess: $94.02 Truth: $75.00 Error: $19.02 SLE: 0.05 Item: Funko POP Movies: Boondock Saints Connor...\u001b[0m\n", + "\u001b[93m216: Guess: $77.05 Truth: $34.99 Error: $42.06 SLE: 0.60 Item: Seasons Viking Princess Costume, Medium ...\u001b[0m\n", + "\u001b[93m217: Guess: $57.96 Truth: $16.99 Error: $40.97 SLE: 1.41 Item: Ernie Ball 2566 Aluminum Bronze Medium-L...\u001b[0m\n", + "\u001b[92m218: Guess: $26.03 Truth: $19.99 Error: $6.04 SLE: 0.06 Item: Egg Holder for Refrigerator Automatic Ro...\u001b[0m\n", + "\u001b[92m219: Guess: $128.01 Truth: $129.99 Error: $1.98 SLE: 0.00 Item: Zoom MS-50G MultiStomp Guitar Effects Pe...\u001b[0m\n", + "\u001b[91m220: Guess: $141.79 Truth: $254.35 Error: $112.56 SLE: 0.34 Item: SOUTHBEND RANGE 4440461 Hi Limit Retrofi...\u001b[0m\n", + "\u001b[92m221: Guess: $15.55 Truth: $37.99 Error: $22.44 SLE: 0.73 Item: 12 pack Acoustic Panels Self-Adhesive, 1...\u001b[0m\n", + "\u001b[92m222: Guess: $180.67 Truth: $219.99 Error: $39.32 SLE: 0.04 Item: Nektar Pacer - USB MIDI Footswitch Contr...\u001b[0m\n", + "\u001b[92m223: Guess: $108.29 Truth: $79.98 Error: $28.31 SLE: 0.09 Item: Steel Tongue Drum, Handpan Tank Drum 11 ...\u001b[0m\n", + "\u001b[93m224: Guess: $106.90 Truth: $51.95 Error: $54.95 SLE: 0.51 Item: Protect'em Covers Padded Dust Cover with...\u001b[0m\n", + "\u001b[93m225: Guess: $152.05 Truth: $94.66 Error: $57.39 SLE: 0.22 Item: Beast Kingdom The Dark Knight Returns: B...\u001b[0m\n", + "\u001b[92m226: Guess: $0.00 Truth: $16.99 Error: $16.99 SLE: 8.35 Item: Ant Mag Guitar Hanger Wall Mount Hooks S...\u001b[0m\n", + "\u001b[93m227: Guess: $99.62 Truth: $48.95 Error: $50.67 SLE: 0.49 Item: Diamond Select Toys Marvel Select: Gambi...\u001b[0m\n", + "\u001b[92m228: Guess: $36.01 Truth: $62.99 Error: $26.98 SLE: 0.30 Item: Shopkins Food Themed Pack Cupcake Collec...\u001b[0m\n", + "\u001b[92m229: Guess: $5.21 Truth: $24.95 Error: $19.74 SLE: 2.05 Item: Wettarn 10 Set Graduation Party Balloon ...\u001b[0m\n", + "\u001b[92m230: Guess: $84.18 Truth: $63.98 Error: $20.20 SLE: 0.07 Item: Spider-Man Marvel The Amazing Spider-Man...\u001b[0m\n", + "\u001b[91m231: Guess: $176.17 Truth: $84.95 Error: $91.22 SLE: 0.52 Item: Hot Wheels Team Hot Wheels Total Control...\u001b[0m\n", + "\u001b[91m232: Guess: $122.51 Truth: $39.99 Error: $82.52 SLE: 1.22 Item: DNYSYSJ Mini Portable Washing Machine, P...\u001b[0m\n", + "\u001b[92m233: Guess: $21.89 Truth: $42.99 Error: $21.10 SLE: 0.43 Item: Disco Mirror Ball Silver Hanging Balls f...\u001b[0m\n", + "\u001b[93m234: Guess: $68.01 Truth: $6.00 Error: $62.01 SLE: 5.24 Item: Djeco Stickers, Knights\u001b[0m\n", + "\u001b[92m235: Guess: $18.26 Truth: $28.89 Error: $10.63 SLE: 0.19 Item: PK Power AC/DC Adapter for Kurzweil Arti...\u001b[0m\n", + "\u001b[93m236: Guess: $62.63 Truth: $19.99 Error: $42.64 SLE: 1.23 Item: Supplying Demand WE04X20685 WE4M336 Clot...\u001b[0m\n", + "\u001b[92m237: Guess: $63.71 Truth: $75.00 Error: $11.29 SLE: 0.03 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", + "\u001b[92m238: Guess: $103.35 Truth: $79.99 Error: $23.36 SLE: 0.06 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", + "\u001b[91m239: Guess: $120.66 Truth: $11.95 Error: $108.71 SLE: 5.02 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", + "\u001b[93m240: Guess: $98.68 Truth: $46.39 Error: $52.29 SLE: 0.55 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", + "\u001b[92m241: Guess: $44.45 Truth: $28.99 Error: $15.46 SLE: 0.17 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", + "\u001b[92m242: Guess: $68.10 Truth: $35.96 Error: $32.14 SLE: 0.39 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", + "\u001b[92m243: Guess: $61.53 Truth: $56.40 Error: $5.13 SLE: 0.01 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", + "\u001b[93m244: Guess: $154.38 Truth: $99.00 Error: $55.38 SLE: 0.19 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", + "\u001b[91m245: Guess: $166.72 Truth: $82.88 Error: $83.84 SLE: 0.48 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", + "\u001b[92m246: Guess: $105.58 Truth: $84.88 Error: $20.70 SLE: 0.05 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", + "\u001b[93m247: Guess: $109.66 Truth: $53.00 Error: $56.66 SLE: 0.51 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", + "\u001b[91m248: Guess: $104.01 Truth: $12.13 Error: $91.88 SLE: 4.32 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", + "\u001b[93m249: Guess: $163.88 Truth: $114.99 Error: $48.89 SLE: 0.12 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", + "\u001b[92m250: Guess: $82.07 Truth: $51.29 Error: $30.78 SLE: 0.21 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Tester.test(xg_b, test)" + ] + }, + { + "cell_type": "markdown", + "id": "0045825e-2df0-429a-8ebb-2617517a2e75", + "metadata": {}, + "source": [ + "# Moving towards the ensemble model" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "9f759bd2-7a7e-4c1a-80a0-e12470feca89", + "metadata": {}, + "outputs": [], + "source": [ + "product = \"Quadcast HyperX condenser mic for high quality audio for podcasting\"" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e44dbd25-fb95-4b6b-bbbb-8da5fc817105", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "150.0\n", + "139.99\n", + "193.3397000000001\n", + "208.99522\n" + ] + } + ], + "source": [ + "print(specialist.price(product))\n", + "print(frontier.price(product))\n", + "print(random_forest.price(product))\n", + "print(xg_boost.price(product))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "1779b353-e2bb-4fc7-be7c-93057e4d688a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 250/250 [14:22<00:00, 3.45s/it]\n" + ] + } + ], + "source": [ + "specialists = []\n", + "frontiers = []\n", + "random_forests = []\n", + "xg_boosts = []\n", + "prices = []\n", + "\n", + "for item in tqdm(test[1000:1250]):\n", + " text = description(item)\n", + " specialists.append(specialist.price(text))\n", + " frontiers.append(frontier.price(text))\n", + " random_forests.append(random_forest.price(text))\n", + " xg_boosts.append(xg_boost.price(text))\n", + " prices.append(item.price)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "f0bca725-4e34-405b-8d90-41d67086a25d", + "metadata": {}, + "outputs": [], + "source": [ + "mins = [min(s,f,r,x) for s,f,r,x in zip(specialists, frontiers, random_forests, xg_boosts)]\n", + "maxes = [max(s,f,r,x) for s,f,r,x in zip(specialists, frontiers, random_forests, xg_boosts)]\n", + "\n", + "X = pd.DataFrame({\n", + " 'Specialist': specialists,\n", + " 'Frontier': frontiers,\n", + " 'RandomForest': random_forests,\n", + " 'XGBoost' : xg_boosts,\n", + " 'Min': mins,\n", + " 'Max': maxes,\n", + "})\n", + "\n", + "# Convert y to a Series\n", + "y = pd.Series(prices)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "baac4947-02d8-4d12-82ed-9ace3c0bee39", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Specialist: 0.25\n", + "Frontier: 0.41\n", + "RandomForest: -0.21\n", + "XGBoost: -0.28\n", + "Min: 0.69\n", + "Max: 0.25\n", + "Intercept=17.02\n" + ] + } + ], + "source": [ + "# Train a Linear Regression - current\n", + "np.random.seed(42)\n", + "\n", + "lr = LinearRegression()\n", + "lr.fit(X, y)\n", + "\n", + "feature_columns = X.columns.tolist()\n", + "\n", + "for feature, coef in zip(feature_columns, lr.coef_):\n", + " print(f\"{feature}: {coef:.2f}\")\n", + "print(f\"Intercept={lr.intercept_:.2f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "702de4cb-2311-4753-9c05-f3a0fa7e9990", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Specialist: 0.39\n", + "Frontier: 0.54\n", + "RandomForest: -0.20\n", + "Min: 0.27\n", + "Max: 0.03\n", + "Intercept=17.26\n" + ] + } + ], + "source": [ + "# Train a Linear Regression - old vals w/o xg\n", + "np.random.seed(42)\n", + "\n", + "lr = LinearRegression()\n", + "lr.fit(X, y)\n", + "\n", + "feature_columns = X.columns.tolist()\n", + "\n", + "for feature, coef in zip(feature_columns, lr.coef_):\n", + " print(f\"{feature}: {coef:.2f}\")\n", + "print(f\"Intercept={lr.intercept_:.2f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "0bdf6e68-28a3-4ed2-b17e-de0ede923d34", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['ensemble_model.pkl']" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "joblib.dump(lr, 'ensemble_model.pkl')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "e762441a-9470-4dd7-8a8f-ec0430e908c7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\92310\\anaconda3\\envs\\llms\\Lib\\asyncio\\events.py:84: DeprecationError: 2025-01-27: `modal.Cls.lookup` is deprecated and will be removed in a future release. It can be replaced with `modal.Cls.from_name`.\n", + "\n", + "See https://modal.com/docs/guide/modal-1-0-migration for more information.\n", + " self._context.run(self._callback, *self._args)\n" + ] + } + ], + "source": [ + "from agents.ensemble_agent import EnsembleAgent\n", + "ensemble = EnsembleAgent(collection)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "1a29f03c-8010-43b7-ae7d-1bc85ca6e8e2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "158.23674746407366" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ensemble.price(product) #old val" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "13dbf002-eba6-4c7a-898f-d697f68ca28e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "161.80814036965486" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ensemble.price(product)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "e6a5e226-a508-43d5-aa42-cefbde72ffdf", + "metadata": {}, + "outputs": [], + "source": [ + "def ensemble_pricer(item):\n", + " return max(0,ensemble.price(description(item)))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "8397b1ef-2ea3-4af8-bb34-36594e0600cc", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[92m1: Guess: $41.09 Truth: $32.70 Error: $8.39 SLE: 0.05 Item: AXE HEAVEN Stranger Things Eddie's Guita...\u001b[0m\n", + "\u001b[91m2: Guess: $119.92 Truth: $213.94 Error: $94.02 SLE: 0.33 Item: Southbend Range 1175016 Natural Gas Valv...\u001b[0m\n", + "\u001b[92m3: Guess: $66.59 Truth: $79.99 Error: $13.40 SLE: 0.03 Item: SUNY Party Lights DJ Stage Lighting 12 G...\u001b[0m\n", + "\u001b[92m4: Guess: $39.05 Truth: $18.99 Error: $20.06 SLE: 0.48 Item: 113PCS Birthday Party Supplies and Decor...\u001b[0m\n", + "\u001b[92m5: Guess: $51.55 Truth: $44.95 Error: $6.60 SLE: 0.02 Item: Artist Unknown A- B Box, Black (T-LPSMR ...\u001b[0m\n", + "\u001b[92m6: Guess: $82.03 Truth: $84.99 Error: $2.96 SLE: 0.00 Item: PINK Child’s Practice Chanter by R.G.Har...\u001b[0m\n", + "\u001b[93m7: Guess: $400.21 Truth: $592.95 Error: $192.74 SLE: 0.15 Item: PENNZONI 4ft Drum Shield w/Deflectors & ...\u001b[0m\n", + "\u001b[91m8: Guess: $101.05 Truth: $325.01 Error: $223.96 SLE: 1.35 Item: LEGO Bionicle Umarak The Destroyer (7131...\u001b[0m\n", + "\u001b[92m9: Guess: $116.59 Truth: $90.99 Error: $25.60 SLE: 0.06 Item: (Red) - Hape E3153 Toy, Multicolor\u001b[0m\n", + "\u001b[93m10: Guess: $99.74 Truth: $52.39 Error: $47.35 SLE: 0.40 Item: LEGO DUPLO My Town Birthday Party 10832,...\u001b[0m\n", + "\u001b[92m11: Guess: $226.31 Truth: $202.47 Error: $23.84 SLE: 0.01 Item: Aquamarine Fate/Grand Order: Alter Ego/O...\u001b[0m\n", + "\u001b[93m12: Guess: $240.87 Truth: $161.58 Error: $79.29 SLE: 0.16 Item: Mytheos Kakegurui xx: Mary Saotome 1:7 S...\u001b[0m\n", + "\u001b[92m13: Guess: $32.53 Truth: $25.95 Error: $6.58 SLE: 0.05 Item: Rotosond Stainless Steel Roundwound Bass...\u001b[0m\n", + "\u001b[92m14: Guess: $36.37 Truth: $44.05 Error: $7.68 SLE: 0.03 Item: DKKY Upgrade Shock Towers Bracket fit fo...\u001b[0m\n", + "\u001b[92m15: Guess: $83.35 Truth: $69.99 Error: $13.36 SLE: 0.03 Item: Ranch Concert Ukulele 23 inch Profession...\u001b[0m\n", + "\u001b[92m16: Guess: $124.69 Truth: $99.95 Error: $24.74 SLE: 0.05 Item: BOYA Large-Diaphragm Studio Microphone P...\u001b[0m\n", + "\u001b[93m17: Guess: $154.31 Truth: $89.69 Error: $64.62 SLE: 0.29 Item: TOYSLY Off-Road Pickup J40 Land Cruiser ...\u001b[0m\n", + "\u001b[92m18: Guess: $107.86 Truth: $127.99 Error: $20.13 SLE: 0.03 Item: Medicom The Return of Superman: Cyborg S...\u001b[0m\n", + "\u001b[92m19: Guess: $32.66 Truth: $34.94 Error: $2.28 SLE: 0.00 Item: Axe Heaven FS-013 Fender Strat Cream Fin...\u001b[0m\n", + "\u001b[92m20: Guess: $29.92 Truth: $34.99 Error: $5.07 SLE: 0.02 Item: Grover CP68 Leather Handle Side Buckle, ...\u001b[0m\n", + "\u001b[92m21: Guess: $92.53 Truth: $72.99 Error: $19.54 SLE: 0.05 Item: Costzon 3 in 1 Kids Art Easel, Double-Si...\u001b[0m\n", + "\u001b[92m22: Guess: $27.39 Truth: $16.99 Error: $10.40 SLE: 0.21 Item: Hot Wheels id Vehicle The Dark Knight Ba...\u001b[0m\n", + "\u001b[92m23: Guess: $20.85 Truth: $5.46 Error: $15.39 SLE: 1.48 Item: \"The Secret Life Of Pets 2\" Green Party ...\u001b[0m\n", + "\u001b[93m24: Guess: $65.19 Truth: $23.55 Error: $41.64 SLE: 0.98 Item: Mattel Pixar Spotlight Series Woody Figu...\u001b[0m\n", + "\u001b[92m25: Guess: $49.28 Truth: $44.99 Error: $4.29 SLE: 0.01 Item: Strictly Briks Classic Stackable Basepla...\u001b[0m\n", + "\u001b[92m26: Guess: $48.02 Truth: $35.99 Error: $12.03 SLE: 0.08 Item: 4-Pack Replacement for Kenmore/Sears 795...\u001b[0m\n", + "\u001b[93m27: Guess: $106.88 Truth: $168.88 Error: $62.00 SLE: 0.21 Item: Funko POP Television (Vinyl): Breaking B...\u001b[0m\n", + "\u001b[92m28: Guess: $45.74 Truth: $12.99 Error: $32.75 SLE: 1.46 Item: 116 Pcs Dinosaur Themed Party Favors Set...\u001b[0m\n", + "\u001b[92m29: Guess: $44.05 Truth: $31.99 Error: $12.06 SLE: 0.10 Item: Barbie Made to Move Exercise, Yoga Doll\u001b[0m\n", + "\u001b[93m30: Guess: $125.95 Truth: $72.99 Error: $52.96 SLE: 0.29 Item: 1995 DC vs Marvel Base Set of 100 Cards,...\u001b[0m\n", + "\u001b[92m31: Guess: $36.39 Truth: $16.99 Error: $19.40 SLE: 0.54 Item: Clementoni \"Romantic Italy - Venice\" Puz...\u001b[0m\n", + "\u001b[91m32: Guess: $117.39 Truth: $18.41 Error: $98.98 SLE: 3.27 Item: Large Size Fast Sling Puck Game Board Fo...\u001b[0m\n", + "\u001b[93m33: Guess: $59.21 Truth: $110.99 Error: $51.78 SLE: 0.39 Item: Remo Tucked Nuskyn Conga Drumhead, 11.75...\u001b[0m\n", + "\u001b[93m34: Guess: $664.42 Truth: $539.99 Error: $124.43 SLE: 0.04 Item: Yamaha FGX830C Solid Top Cutaway Acousti...\u001b[0m\n", + "\u001b[92m35: Guess: $61.07 Truth: $41.30 Error: $19.77 SLE: 0.15 Item: Malifaux Third Edition Arcanists Colette...\u001b[0m\n", + "\u001b[93m36: Guess: $307.29 Truth: $229.95 Error: $77.34 SLE: 0.08 Item: Rockville RAM12BT 12\" Rechargable Powere...\u001b[0m\n", + "\u001b[92m37: Guess: $14.79 Truth: $3.89 Error: $10.90 SLE: 1.37 Item: Monoprice 107193 6.35-mm Stereo Plug to ...\u001b[0m\n", + "\u001b[92m38: Guess: $9.90 Truth: $14.61 Error: $4.71 SLE: 0.13 Item: Q-Parts Mini Dome Knob, EBONY ON BLACK\u001b[0m\n", + "\u001b[92m39: Guess: $280.49 Truth: $279.99 Error: $0.50 SLE: 0.00 Item: Heng Long Modified Edition 1/16 2.4ghz R...\u001b[0m\n", + "\u001b[92m40: Guess: $24.83 Truth: $15.99 Error: $8.84 SLE: 0.18 Item: Levy's Leathers MM8-BRN J.K. Gully Hook,...\u001b[0m\n", + "\u001b[92m41: Guess: $17.75 Truth: $9.99 Error: $7.76 SLE: 0.29 Item: CHIAOGOO Nylon Cable, Large, Multicolour\u001b[0m\n", + "\u001b[93m42: Guess: $225.93 Truth: $339.99 Error: $114.06 SLE: 0.17 Item: Bunnel Pupil Student Violin Outfit 1/2 S...\u001b[0m\n", + "\u001b[92m43: Guess: $52.72 Truth: $38.99 Error: $13.73 SLE: 0.09 Item: UGEARS Mechanical Wooden 3D Puzzle Model...\u001b[0m\n", + "\u001b[92m44: Guess: $52.96 Truth: $43.99 Error: $8.97 SLE: 0.03 Item: Puzzled Bundle of Dragons Asian Theme: L...\u001b[0m\n", + "\u001b[92m45: Guess: $19.59 Truth: $8.94 Error: $10.65 SLE: 0.53 Item: Barbie Chelsea Doll (6-inch Brunette) We...\u001b[0m\n", + "\u001b[92m46: Guess: $34.98 Truth: $46.30 Error: $11.32 SLE: 0.07 Item: amscan Miranda Rights\u001b[0m\n", + "\u001b[92m47: Guess: $12.45 Truth: $1.99 Error: $10.46 SLE: 2.26 Item: RetroArcade.us Jamma Standard and Plus C...\u001b[0m\n", + "\u001b[92m48: Guess: $28.38 Truth: $16.99 Error: $11.39 SLE: 0.24 Item: Seismic Audio SAGCRBK-20 Black 20-Feet W...\u001b[0m\n", + "\u001b[93m49: Guess: $215.39 Truth: $269.99 Error: $54.60 SLE: 0.05 Item: 1000pcs 14g Monte Carlo Poker Club Poker...\u001b[0m\n", + "\u001b[92m50: Guess: $25.10 Truth: $39.97 Error: $14.87 SLE: 0.20 Item: Cardfight Vanguard G Start Deck Odyssey ...\u001b[0m\n", + "\u001b[92m51: Guess: $36.19 Truth: $17.99 Error: $18.20 SLE: 0.45 Item: GOVOY Color Dough Dentist Doctor Drill a...\u001b[0m\n", + "\u001b[92m52: Guess: $43.36 Truth: $19.00 Error: $24.36 SLE: 0.63 Item: Wegrower Hand Chimes, Metal Chord Wind C...\u001b[0m\n", + "\u001b[92m53: Guess: $225.35 Truth: $199.00 Error: $26.35 SLE: 0.02 Item: 2.4GHz Wireless Lavalier Microphone Syst...\u001b[0m\n", + "\u001b[92m54: Guess: $58.21 Truth: $52.99 Error: $5.22 SLE: 0.01 Item: GLOBACT Steel 50T Center Diff Set Differ...\u001b[0m\n", + "\u001b[92m55: Guess: $71.48 Truth: $55.68 Error: $15.80 SLE: 0.06 Item: GENUINE Frigidaire 316442401 Range/Stove...\u001b[0m\n", + "\u001b[92m56: Guess: $52.72 Truth: $49.99 Error: $2.73 SLE: 0.00 Item: Jeereal Full Grain Genuine Padded Leathe...\u001b[0m\n", + "\u001b[92m57: Guess: $54.28 Truth: $20.99 Error: $33.29 SLE: 0.85 Item: Supplying Demand 8299642 W10135399 Cloth...\u001b[0m\n", + "\u001b[92m58: Guess: $60.40 Truth: $29.99 Error: $30.41 SLE: 0.47 Item: Electric Guitar Neck, Paddle Head DIY Un...\u001b[0m\n", + "\u001b[92m59: Guess: $157.43 Truth: $129.99 Error: $27.44 SLE: 0.04 Item: MXR M75 Super Badass Distortion Guitar E...\u001b[0m\n", + "\u001b[93m60: Guess: $92.67 Truth: $45.95 Error: $46.72 SLE: 0.48 Item: TCFUNDY DMX 512 Controller, 192 Channel ...\u001b[0m\n", + "\u001b[92m61: Guess: $175.85 Truth: $209.99 Error: $34.14 SLE: 0.03 Item: Vangoa 5 String Banjo Remo Head Closed S...\u001b[0m\n", + "\u001b[92m62: Guess: $146.44 Truth: $119.95 Error: $26.49 SLE: 0.04 Item: The Simpsons Exclusive Playset Moe's Bar...\u001b[0m\n", + "\u001b[93m63: Guess: $257.26 Truth: $179.00 Error: $78.26 SLE: 0.13 Item: Celestion G12-65 Heritage Guitar Speaker...\u001b[0m\n", + "\u001b[92m64: Guess: $13.80 Truth: $17.99 Error: $4.19 SLE: 0.06 Item: Sinnya 6 Pack Filter T HFT600 Filter Com...\u001b[0m\n", + "\u001b[92m65: Guess: $25.33 Truth: $22.95 Error: $2.38 SLE: 0.01 Item: PANYARD Steel Drum (JUMBIE JAM)\u001b[0m\n", + "\u001b[92m66: Guess: $84.50 Truth: $89.00 Error: $4.50 SLE: 0.00 Item: Zwide Professional Wireless Lavalier Mic...\u001b[0m\n", + "\u001b[92m67: Guess: $70.59 Truth: $82.90 Error: $12.31 SLE: 0.03 Item: Good Smile Re: Zero - Starting Life in A...\u001b[0m\n", + "\u001b[92m68: Guess: $221.15 Truth: $219.99 Error: $1.16 SLE: 0.00 Item: Latin Percussion LP981 LP Timbale Stand,...\u001b[0m\n", + "\u001b[92m69: Guess: $47.62 Truth: $43.59 Error: $4.03 SLE: 0.01 Item: Replacement Water filter for Maytag UKF-...\u001b[0m\n", + "\u001b[92m70: Guess: $29.93 Truth: $19.95 Error: $9.98 SLE: 0.15 Item: Monster Trombone Care and Cleaning Kit |...\u001b[0m\n", + "\u001b[92m71: Guess: $128.17 Truth: $101.00 Error: $27.17 SLE: 0.06 Item: LG Electronics AEQ72909602 Refrigerator ...\u001b[0m\n", + "\u001b[93m72: Guess: $144.58 Truth: $239.99 Error: $95.41 SLE: 0.25 Item: Korilakkuma San-X Original Plush (Jumbo)\u001b[0m\n", + "\u001b[92m73: Guess: $26.56 Truth: $28.61 Error: $2.05 SLE: 0.01 Item: Great Eastern Entertainment Cowboy Bebop...\u001b[0m\n", + "\u001b[92m74: Guess: $76.81 Truth: $55.99 Error: $20.82 SLE: 0.10 Item: Haxtec Natural Amethyst Gemstone DND Dic...\u001b[0m\n", + "\u001b[92m75: Guess: $67.17 Truth: $49.43 Error: $17.74 SLE: 0.09 Item: Pop 587 The Elder Scrolls V Skyrim Sheog...\u001b[0m\n", + "\u001b[93m76: Guess: $40.78 Truth: $97.49 Error: $56.71 SLE: 0.74 Item: Funko Pop Games: Mortal Combat - Kitana ...\u001b[0m\n", + "\u001b[92m77: Guess: $385.82 Truth: $439.99 Error: $54.17 SLE: 0.02 Item: SKB 3I-3019-12BC iSeries 30 1/2\" x 19 1/...\u001b[0m\n", + "\u001b[92m78: Guess: $26.16 Truth: $34.99 Error: $8.83 SLE: 0.08 Item: Veemoon Wedding Cake Topper Figurines Ol...\u001b[0m\n", + "\u001b[92m79: Guess: $178.37 Truth: $146.99 Error: $31.38 SLE: 0.04 Item: Kinglos 4/4 White Ebony Fitted Solid Woo...\u001b[0m\n", + "\u001b[92m80: Guess: $14.90 Truth: $8.39 Error: $6.51 SLE: 0.28 Item: Reaper Miniatures 2008 Christmas Sophie ...\u001b[0m\n", + "\u001b[92m81: Guess: $44.54 Truth: $38.89 Error: $5.65 SLE: 0.02 Item: Greture Sunflower Home Kitchen Decoratio...\u001b[0m\n", + "\u001b[93m82: Guess: $51.42 Truth: $97.95 Error: $46.53 SLE: 0.40 Item: Stormcast Eternals Celestant-Prime Hamme...\u001b[0m\n", + "\u001b[92m83: Guess: $210.94 Truth: $199.99 Error: $10.95 SLE: 0.00 Item: JIM DUNLOP Slash Wah Guitar Effects Peda...\u001b[0m\n", + "\u001b[92m84: Guess: $35.61 Truth: $41.99 Error: $6.38 SLE: 0.03 Item: Bilingual Quiet Book for Toddlers | Writ...\u001b[0m\n", + "\u001b[92m85: Guess: $78.49 Truth: $96.95 Error: $18.46 SLE: 0.04 Item: Exotic Electric Guitar Body Blank Wood V...\u001b[0m\n", + "\u001b[93m86: Guess: $257.37 Truth: $179.00 Error: $78.37 SLE: 0.13 Item: CAVALIERE Under Cabinet Range Hood 30\" I...\u001b[0m\n", + "\u001b[92m87: Guess: $48.80 Truth: $40.99 Error: $7.81 SLE: 0.03 Item: JUSOP Microphone Isolation Shield with P...\u001b[0m\n", + "\u001b[92m88: Guess: $16.11 Truth: $2.39 Error: $13.72 SLE: 2.62 Item: YU-GI-OH! - 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Play! Classic Giant Wooden Blocks T...\u001b[0m\n", + "\u001b[92m114: Guess: $34.52 Truth: $21.99 Error: $12.53 SLE: 0.19 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", + "\u001b[92m115: Guess: $42.67 Truth: $21.75 Error: $20.92 SLE: 0.43 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", + "\u001b[92m116: Guess: $38.98 Truth: $41.88 Error: $2.90 SLE: 0.00 Item: Funko Pop! 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Error: $7.37 SLE: 0.05 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", + "\u001b[92m155: Guess: $116.39 Truth: $78.89 Error: $37.50 SLE: 0.15 Item: LEGO Castle Gold Getaway\u001b[0m\n", + "\u001b[92m156: Guess: $141.95 Truth: $146.00 Error: $4.05 SLE: 0.00 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", + "\u001b[92m157: Guess: $61.30 Truth: $71.98 Error: $10.68 SLE: 0.03 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", + "\u001b[92m158: Guess: $22.25 Truth: $12.29 Error: $9.96 SLE: 0.31 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", + "\u001b[92m159: Guess: $76.01 Truth: $38.99 Error: $37.02 SLE: 0.43 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", + "\u001b[92m160: Guess: $44.07 Truth: $16.97 Error: $27.10 SLE: 0.85 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", + "\u001b[92m161: Guess: $260.33 Truth: $302.49 Error: $42.16 SLE: 0.02 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", 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Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", + "\u001b[92m170: Guess: $19.32 Truth: $8.99 Error: $10.33 SLE: 0.50 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", + "\u001b[92m171: Guess: $105.89 Truth: $92.16 Error: $13.73 SLE: 0.02 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", + "\u001b[93m172: Guess: $83.19 Truth: $139.99 Error: $56.80 SLE: 0.27 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", + "\u001b[92m173: Guess: $63.86 Truth: $77.98 Error: $14.12 SLE: 0.04 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", + "\u001b[92m174: Guess: $131.78 Truth: $119.95 Error: $11.83 SLE: 0.01 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", + "\u001b[93m175: Guess: $301.10 Truth: $379.95 Error: $78.85 SLE: 0.05 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", + "\u001b[92m176: Guess: $71.12 Truth: $64.99 Error: $6.13 SLE: 0.01 Item: Merchants & Marauders\u001b[0m\n", + "\u001b[91m177: Guess: $194.50 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$20.22 Truth: $8.90 Error: $11.32 SLE: 0.58 Item: Interal Shop Guitar and Bass String Mute...\u001b[0m\n", + "\u001b[92m193: Guess: $63.37 Truth: $69.41 Error: $6.04 SLE: 0.01 Item: Electrolux 316443601 Door Handle\u001b[0m\n", + "\u001b[92m194: Guess: $49.89 Truth: $49.95 Error: $0.06 SLE: 0.00 Item: Maisto R/C 27Mhz (3-Channel) Rock Crawle...\u001b[0m\n", + "\u001b[92m195: Guess: $23.19 Truth: $20.99 Error: $2.20 SLE: 0.01 Item: Odowalker Pack of 4 Dishwasher Premium W...\u001b[0m\n", + "\u001b[93m196: Guess: $223.89 Truth: $314.95 Error: $91.06 SLE: 0.12 Item: Pokemon TCG: XY Evolutions Elite Trainer...\u001b[0m\n", + "\u001b[93m197: Guess: $79.94 Truth: $27.99 Error: $51.95 SLE: 1.05 Item: Transformer Toy Deformation Robot Toy St...\u001b[0m\n", + "\u001b[92m198: Guess: $65.24 Truth: $54.99 Error: $10.25 SLE: 0.03 Item: PlanToys Van Walker, Yellow\u001b[0m\n", + "\u001b[92m199: Guess: $29.95 Truth: $27.99 Error: $1.96 SLE: 0.00 Item: Living Nature Brown Bear, Realistic Medi...\u001b[0m\n", + "\u001b[92m200: Guess: $19.81 Truth: $16.99 Error: $2.82 SLE: 0.02 Item: Silence Razer Mini Shock Mount with Foam...\u001b[0m\n", + "\u001b[92m201: Guess: $152.04 Truth: $119.95 Error: $32.09 SLE: 0.06 Item: LEGO NINJAGO Fire Stone Mech 71720 Build...\u001b[0m\n", + "\u001b[92m202: Guess: $108.48 Truth: $110.67 Error: $2.19 SLE: 0.00 Item: Saint Seiya Myth Cloth Sea Dragon Kanon ...\u001b[0m\n", + "\u001b[92m203: Guess: $47.42 Truth: $57.99 Error: $10.57 SLE: 0.04 Item: Funko POP Games: Fallout 4 Liberty Prime...\u001b[0m\n", + "\u001b[93m204: Guess: $217.23 Truth: $169.00 Error: $48.23 SLE: 0.06 Item: Kala KA-CE Satin Mahogany Concert Electr...\u001b[0m\n", + "\u001b[92m205: Guess: $91.32 Truth: $108.15 Error: $16.83 SLE: 0.03 Item: Bandaï Saint Seiya Saint Cloth Myth Appe...\u001b[0m\n", + "\u001b[92m206: Guess: $41.29 Truth: $30.99 Error: $10.30 SLE: 0.08 Item: LESHITIAN Kids Laptop, 65 Learning Activ...\u001b[0m\n", + "\u001b[93m207: Guess: $260.21 Truth: $399.99 Error: $139.78 SLE: 0.18 Item: Causeair Big Inflatable Bounce House wit...\u001b[0m\n", + "\u001b[93m208: Guess: $62.12 Truth: $128.89 Error: $66.77 SLE: 0.52 Item: MAYS 3D Metal Puzzle Kit - Moving Mechan...\u001b[0m\n", + "\u001b[92m209: Guess: $183.81 Truth: $219.95 Error: $36.14 SLE: 0.03 Item: DisplayGifts Electric Guitar Display Cas...\u001b[0m\n", + "\u001b[92m210: Guess: $36.39 Truth: $42.98 Error: $6.59 SLE: 0.03 Item: QT RC Airplane, 2 Channel RC Plane, 2.4G...\u001b[0m\n", + "\u001b[92m211: Guess: $62.95 Truth: $37.76 Error: $25.19 SLE: 0.25 Item: Traxxas 5374X BRUSHLESS E-REVO Wheel/TI\u001b[0m\n", + "\u001b[92m212: Guess: $117.29 Truth: $98.99 Error: $18.30 SLE: 0.03 Item: Kotobukiya ARTFX+ Star Wars Stormtrooper...\u001b[0m\n", + "\u001b[92m213: Guess: $213.49 Truth: $189.95 Error: $23.54 SLE: 0.01 Item: Aosom 12V Ride On Toy Car for Kids with ...\u001b[0m\n", + "\u001b[92m214: Guess: $16.50 Truth: $5.48 Error: $11.02 SLE: 0.99 Item: Violin Bow Clip Kit Strings Bow Fixed Gr...\u001b[0m\n", + "\u001b[92m215: Guess: $58.64 Truth: $75.00 Error: $16.36 SLE: 0.06 Item: Funko POP Movies: Boondock Saints Connor...\u001b[0m\n", + "\u001b[92m216: Guess: $60.02 Truth: $34.99 Error: $25.03 SLE: 0.28 Item: Seasons Viking Princess Costume, Medium ...\u001b[0m\n", + "\u001b[92m217: Guess: $19.51 Truth: $16.99 Error: $2.52 SLE: 0.02 Item: Ernie Ball 2566 Aluminum Bronze Medium-L...\u001b[0m\n", + "\u001b[92m218: Guess: $31.12 Truth: $19.99 Error: $11.13 SLE: 0.18 Item: Egg Holder for Refrigerator Automatic Ro...\u001b[0m\n", + "\u001b[93m219: Guess: $196.25 Truth: $129.99 Error: $66.26 SLE: 0.17 Item: Zoom MS-50G MultiStomp Guitar Effects Pe...\u001b[0m\n", + "\u001b[91m220: Guess: $83.95 Truth: $254.35 Error: $170.40 SLE: 1.21 Item: SOUTHBEND RANGE 4440461 Hi Limit Retrofi...\u001b[0m\n", + "\u001b[92m221: Guess: $43.07 Truth: $37.99 Error: $5.08 SLE: 0.02 Item: 12 pack Acoustic Panels Self-Adhesive, 1...\u001b[0m\n", + "\u001b[93m222: Guess: $136.66 Truth: $219.99 Error: $83.33 SLE: 0.22 Item: Nektar Pacer - USB MIDI Footswitch Contr...\u001b[0m\n", + "\u001b[92m223: Guess: $63.63 Truth: $79.98 Error: $16.35 SLE: 0.05 Item: Steel Tongue Drum, Handpan Tank Drum 11 ...\u001b[0m\n", + "\u001b[92m224: Guess: $36.79 Truth: $51.95 Error: $15.16 SLE: 0.11 Item: Protect'em Covers Padded Dust Cover with...\u001b[0m\n", + "\u001b[93m225: Guess: $145.17 Truth: $94.66 Error: $50.51 SLE: 0.18 Item: Beast Kingdom The Dark Knight Returns: B...\u001b[0m\n", + "\u001b[92m226: Guess: $29.14 Truth: $16.99 Error: $12.15 SLE: 0.27 Item: Ant Mag Guitar Hanger Wall Mount Hooks S...\u001b[0m\n", + "\u001b[92m227: Guess: $40.36 Truth: $48.95 Error: $8.59 SLE: 0.04 Item: Diamond Select Toys Marvel Select: Gambi...\u001b[0m\n", + "\u001b[92m228: Guess: $57.25 Truth: $62.99 Error: $5.74 SLE: 0.01 Item: Shopkins Food Themed Pack Cupcake Collec...\u001b[0m\n", + "\u001b[92m229: Guess: $36.67 Truth: $24.95 Error: $11.72 SLE: 0.14 Item: Wettarn 10 Set Graduation Party Balloon ...\u001b[0m\n", + "\u001b[92m230: Guess: $70.92 Truth: $63.98 Error: $6.94 SLE: 0.01 Item: Spider-Man Marvel The Amazing Spider-Man...\u001b[0m\n", + "\u001b[93m231: Guess: $27.81 Truth: $84.95 Error: $57.14 SLE: 1.19 Item: Hot Wheels Team Hot Wheels Total Control...\u001b[0m\n", + "\u001b[92m232: Guess: $50.76 Truth: $39.99 Error: $10.77 SLE: 0.05 Item: DNYSYSJ Mini Portable Washing Machine, P...\u001b[0m\n", + "\u001b[92m233: Guess: $39.94 Truth: $42.99 Error: $3.05 SLE: 0.01 Item: Disco Mirror Ball Silver Hanging Balls f...\u001b[0m\n", + "\u001b[92m234: Guess: $8.17 Truth: $6.00 Error: $2.17 SLE: 0.07 Item: Djeco Stickers, Knights\u001b[0m\n", + "\u001b[92m235: Guess: $34.96 Truth: $28.89 Error: $6.07 SLE: 0.03 Item: PK Power AC/DC Adapter for Kurzweil Arti...\u001b[0m\n", + "\u001b[92m236: Guess: $28.20 Truth: $19.99 Error: $8.21 SLE: 0.11 Item: Supplying Demand WE04X20685 WE4M336 Clot...\u001b[0m\n", + "\u001b[92m237: Guess: $38.10 Truth: $75.00 Error: $36.90 SLE: 0.44 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", + "\u001b[92m238: Guess: $70.22 Truth: $79.99 Error: $9.77 SLE: 0.02 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", + "\u001b[92m239: Guess: $33.01 Truth: $11.95 Error: $21.06 SLE: 0.93 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", + "\u001b[92m240: Guess: $67.19 Truth: $46.39 Error: $20.80 SLE: 0.13 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", + "\u001b[92m241: Guess: $40.36 Truth: $28.99 Error: $11.37 SLE: 0.10 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", + "\u001b[92m242: Guess: $26.38 Truth: $35.96 Error: $9.58 SLE: 0.09 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", + "\u001b[92m243: Guess: $54.50 Truth: $56.40 Error: $1.90 SLE: 0.00 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", + "\u001b[91m244: Guess: $246.59 Truth: $99.00 Error: $147.59 SLE: 0.82 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", + "\u001b[92m245: Guess: $108.53 Truth: $82.88 Error: $25.65 SLE: 0.07 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", + "\u001b[92m246: Guess: $61.43 Truth: $84.88 Error: $23.45 SLE: 0.10 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", + "\u001b[92m247: Guess: $58.27 Truth: $53.00 Error: $5.27 SLE: 0.01 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", + "\u001b[92m248: Guess: $17.79 Truth: $12.13 Error: $5.66 SLE: 0.13 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", + "\u001b[92m249: Guess: $119.90 Truth: $114.99 Error: $4.91 SLE: 0.00 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", + "\u001b[92m250: Guess: $69.12 Truth: $51.29 Error: $17.83 SLE: 0.09 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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AgjFjxmzy+AsvvLC2loSEhAZNwQ+Chr3vN5weDwTXX3997eXNTY9///33AyB49tlnt1jDkCFDGvQaR74nNlRYWBgkJSUFI0aM2Oi6ffbZJ9hll13qTZmvqKgIevfuHQDBo48+usX6NlRRUREMHTo0SEtLCxYuXFg7Xl1dXe/9suuuuwbffPNNsGLFiiA7OzuYOnVqox5HUvPnRnSSWoQpU6aw++671xvb1BTgww8/nNTU1NrLOTk5ZGdn10t5Bw4cyKRJk+jUqRNHHnkk+++/f70NqebMmcPKlSsZN27cRgnQ0Ucfza233sratWvrTU889thj6x23++6788knn3DMMcfUjsXFxbHzzjvXq2W9M888c6MpyoMHD2bWrFmbfU1mzJhBZWUlY8eOrVdnUlISQ4YM2eJtI51++un1Lvfq1Yunnnpqo/QuMoXenJdeeomqqqotpqzb8vo25LEj3XLLLRxxxBEbjW+4udZee+212ZR2w8ecO3cu69at22i38W7dunHEEUdscobApuq+4IILNnq/bMqGid0999zDGWecQefOnUlKSqKkpIS8vDxOPPFEkpKSNns///nPf7j44os59dRTufTSS2vHY2JiuPjii/nDH/7AH/7wBy688EKKi4uZMGECJSUltcc0xNNPP83atWtrZyYcc8wx/POf/9xoN/Af6+qrr66X6qampjJr1qwtbkp22mmn8Ytf/IJHHnmEnj17kpeXt9F/w/VCoRB///vfueaaa3jhhRd4//33ef3117nzzju59957eeGFF+ptrtdQDXk/3nDDDVxyySVbva/In2+RdW9KQ87s8H//93/1Lp9wwgl07NiRu+++m8suu4x999233vXXXnst559/PgUFBTz//PNccsklrF27liuuuGKrjwXhZTHp6ekbjZ9xxhkNuv2m7LzzznTs2JGrr76apUuXcthhh21yk9J77723XvK+OVuaufLII49QWlrK+eefv9F1l156KePHj+eSSy7huuuuo7q6mhtvvLH2Z35jllcEQcD48eN54403ePrpp+ttgLh+WcBtt91GUVERvXv3JiYmhvHjx9fOwPnss8+45JJL+PTTT+nTpw933nknhx56aIMfX1LzYtMuqUXYfffda9evbkmnTp02GktMTGTdunW1lx9//HFuuukm7r//fn7729/Svn17TjrpJG699VZyc3Nr18eeeuqpm32clStX1msqMzIy6l2fkJBASkrKRs1UQkLCJqfc5ubmbnLsk08+2WwN6+s84IADNnl9Qz8grm8oYmNjyczM3Ozu2J07d97qfS1btgyg3o7PG9qW17chjx2pd+/eDXq/bOl+N7xu/fKJTd2mS5cu9dZNA6SkpJCWlrbRsbm5uZtdMx1pw4Zr6NChfPfdd7z66qvccMMNfPPNN5x33nlcccUVvPjii/Tr12+j+5gxYwYnn3wyw4cP55FHHtnoPn/3u9+xZs0abrrpptpd5UeOHMm5557L/fffv9WzB6y3furuwIEDOfHEE9l333355S9/ucX377b45S9/yZgxYygrK+Ptt9/mN7/5DSeccAKffPLJJv/tA7Rr147TTz+dBx98kB49enDkkUfSo0ePLT5Ojx49+PnPf157+YknnmD06NFceeWVvPvuu42uuyHvx+7du2/x3816kf8N1z/nyKU9661cuXKjn0sNNWbMGO6++27efvvtjZr27t270717dwB+8pOfAOGlJOPGjdtoSc2m7L333ptsirf0h6etSU9PZ/bs2fzxj3/k2muvpbCwkM6dO/PTn/6U3/zmN7V/lN15550JgmCr97eln50PPPAAWVlZnHDCCRtdd95557Fs2TJuuukm7rnnHiC85OKKK67glltuafC/pyAIOP/883n44YeZPHnyJh8LwkuY1r/ms2fPZtq0aXz66adUVFRw4oknMmbMGF588UWmTp3KCSecwP/+979tfk9Iii7XtEtqczIzM7nrrruYP38+CxYs4Oabb2b69Om16dv6D5T/7//9P957771Nfm2Y2P5YeXl5mxzbXCMSWedTTz21yRrfeeedBj32+oZi33333eLprBqS2q3/ALmlzZ+25fXdXueC39L9bnjd+v8Wm9pMasmSJRs1Ipu779///vfEx8dv9WtTG+61a9eO4447jv79+3PXXXfx9ddfU15evsmUc8aMGZx44okMGTKEp59+moSEhI2OiYuL44477mDFihV8+umnLFmyhH/9618sXLiQXr16NaiJ3NR97rfffnzzzTeNvu3WdO3alQEDBnDwwQdz+eWXc//99/PDDz9w/fXXb/F25513Hh9//DHPP//8Jjeg25pRo0Y1ao34tjjvvPMa9L6IXIu//g81m1or/dlnn23yDzkNsb6xbcgf/gYOHEhlZeVW99/Y3vr378+0adNYsWIFH3/8Maeffjq///3vuf3222uPGTZsWINe4829Rz766CM++ugjxo4du9HpAte7+uqrWb58OZ999hnz589nzpw5FBYW0q5dO/bff/+tPo/1DftDDz3E/fffz5gxY7Z6m7KyMi688EJ++9vf0qdPH77++mvmzZvHFVdcQXJyMhdccAGhUGiTp66T1DKYtEtq07p3784ll1zCK6+8wltvvQWEz1ncoUMHvvzyywZNV20Kjz32GJdddllto7dgwQLmzJnD2LFjN3ubESNGEBcXx3fffdfo6ePby1FHHUVsbCz33HPPZs9JHI3XtykMGjSI5ORkHn744dpdrCH8B4pXX311izMHIm3r9PggCDb6Q0C3bt3o27cvBQUF9cZnzpzJiSeeyCGHHMKzzz671XN1t2/fnv79+wPhzfleeeWVes1OY5SWlvL222+z8847b9PtG+Oss87i/vvv57777uPKK6/cbII+aNAgzjvvPIqKiuqdV3tDS5cu3eRMijVr1rBo0SK6dOnSZLVvaFumx++0004MHDiQhx9+mCuuuILY2FgA3n77bb7++msmTJiwTbVMmTIFqDuTxJbMmjWLmJgYevfuvU2P1Rjr38eRM6c2FAqF2HvvvbnzzjuZNGkSH374Ye11P3Z6/PozYIwfP36rda7/g8nChQt5/PHH+elPf0pycvIWbxcEAT/96U956KGHuPfeezfa6G5zJk6cSEJCQu0f79b/0WXt2rWkpqZSUVFBWVlZg2YZSGqebNoltQiff/75JncY7tOnT4OmZK5XVFTE4Ycfzplnnsluu+1Gamoq7733Hi+++CInn3wyEG5g/t//+3+MGzeOlStXcuqpp5Kdnc2yZcv45JNPWLZsWe3Ux6ZSUFDASSedxE9/+lOKioq4/vrrSUpK4pprrtnsbXr27Mnvf/97rrvuOubNm8fRRx9Nx44dyc/P591336Vdu3a1O5bvKD179uTaa6/lD3/4A+vWrWP06NGkp6fz5Zdfsnz5cm688cYd8vp+++23vP322xuNd+3adZvSY4AOHTrw29/+lmuvvZaxY8cyevRoVqxYwY033khSUtJW0971unTpsk3NX79+/bjkkksYMGAAa9eu5X//+x+vvPIKc+bMqT0tFsCbb77JiSeeSG5uLtdeey0ff/xxvfvZY489aqftv/baa7z33nvstddeBEHAu+++yy233MLRRx+9UQM5bNgwZs+eXe/f4eDBgzn++OPZfffdSU9PZ/78+dxzzz189913G51u7Msvv6w9o0FeXh4lJSU89dRTtTVtag1yQ9xyyy0ceOCB/OEPf+D+++/f7HEbnnJwU/74xz/y1ltvcfrpp7PPPvuQnJzM999/z913382KFSs2uSP3888/v8l15pF/xGnI+7Fnz55bXJu/ObfccgvDhw/ntNNO46KLLqKgoIBf//rX9OvXr17Tt2DBAvr06cO4ceNqX4tHH32U6dOnM3LkSHr06MGqVat48sknmTZtGueccw5777137e0vuOAC0tLSGDhwIDk5OSxfvpwnn3ySxx9/nCuvvLJRP4e31fpG+B//+EftqQV79erF3Llz+dvf/saJJ55I7969CYKA6dOns2rVKoYPH157+1133XWbH7u0tJRHH32UwYMHb7S/ynqff/45Tz/9NAMGDCAxMZFPPvmEP/3pT/Tt25c//OEP9Y4dP348kydP5rvvvqv9Y9MvfvELHnjgAc477zz69+9f7z2TmJi40VIFgK+++opbb72VWbNm1Z56b9ddd61d4nHxxRfz+OOPExcX16A/wkhqpqK0AZ4kNciWdo8Hgvvuu6/2WCC4+OKLN7qPHj161O4GXFpaGvzsZz8L9tprryAtLS1ITk4Odt111+D6668P1q5dW+92s2fPDkaOHBlkZGQE8fHxwU477RSMHDkyePLJJ2uP2dwO0uPGjQvatWu3US1DhgwJ9txzz9rL63eXnjp1avCLX/wiyMrKChITE4NDDz00eP/99+vddsOd2td79tlng8MPPzxIS0sLEhMTgx49egSnnnpq8PLLL2/hla177Mjnsylb2iV7czVNmTIlOOCAA4KkpKSgffv2wb777hs89NBD9Y75Ma/v1p7T5r6uu+662mN79OgRjBw5crP3sbnX5f777w/22muvICEhIUhPTw9OOOGE4Isvvqh3zOb++/8Yt912W3DooYcGWVlZQSgUCpKSkoJdd901+OMf/xhUVlbWHre1Xbojd95+6623ggMPPLD2vdOvX7/gz3/+c1BeXr7R46/feTvS5ZdfHuy9995Benp6EBcXF+Tm5gYnnXRS8NZbb210+y3VFblD+Kas3z3+tttu2+T1p512WhAXFxf873//q/dYW3vfbLh7/Ntvvx1cfPHFwd577x1kZGQEsbGxQVZWVnD00UcHL7zwQoOfz/rXqTHvxx9j5syZwUEHHRQkJSUFGRkZwdixY4P8/Px6x6x/DSOf79y5c4Nhw4YFubm5QXx8fJCSkhIccMABwd/+9rd6O6AHQRA8+OCDwaGHHhpkZmYGcXFxQYcOHYIhQ4Y0eKfyrf032XPPPbe6e3wQBMFdd90V9OrVK4iNjQ2A4KGHHgq++uqrYPTo0UGfPn2C5OTkID09PRg4cGAwadKkBtXWEOt36t/UGSHW+/rrr4PDDjssyMjICBISEoKdd945+M1vfhOsWbNmo2PX7/4eeVaCHj16bPa9sqmzLVRXVweHHnroJn/vffDBB8FBBx0UtGvXLujfv/9Wfx9Iat5CQeBcGUmSWpJzzjmHc845p8l3Z5ckSc2PG9FJkiRJktRM2bRLktTCnHjiidu0/lmSJLU8To+XJEmSJKmZMmmXJEmSJKmZsmmXJEmSJKmZsmmXJEmSJKmZiot2Ac1BdXU1S5YsITU1lVAoFO1yJEmSJEmtXBAErF69mi5duhATs/k83aYdWLJkCd26dYt2GZIkSZKkNmbRokV07dp1s9fbtAOpqalA+MVKS0uLcjWSJEmSpNYiCOD9Ynh6OayrrhvfnWKuHtCtth/dHJt2qJ0Sn5aWZtMuSZIkSWoSqypgaj58XgKkQAKQFgdnZkOfAK6GrS7RtmmXJEmSJKkJBQHMLYYnCuqn6wemwenZ0C4Wiosbdl827ZIkSZIkNZHCmnT9i7V1Y2lxMCYH9m7f+PuzaZckSZIk6UcKAnizCJ5aBqUR6fpBaTCqJl3fFjbtkiRJkiT9CCsqYGoe/LekbqxDTbrefxvS9Ug27ZIkSZIkbYMggDdq0vWyiHT94HQ4NQtStjFdj2TTLkmSJElSIy0vhyn58HVEut4xDs7OhT3bNd3j2LRLkiRJktRAQQCzV8H05fXT9UPT4ZQsSG6CdD2STbskSZIkSQ2wrCZd/yYiXc+Ih7E5sHsTpuuRbNolSZIkSdqCIIBXV8Ezy6AiqBs/rAOckglJTZyuR7JplyRJkiRpMwrKYXIe/G9d3VinmnR9t+2UrkeyaZckSZIkaQPVAbxaCM8ur5+uH94BTsqCxJgdU4dNuyRJkiRJEfLKYHI+zItI1zPjYVwu7JKyY2uxaZckSZIkiXC6/nIhPLccKmvS9RBwREc4IXPHpeuRbNolSZIkSW3e0jKYlAfzS+vGshNgXA7svIPT9Ug27ZIkSZKkNqs6gBkr4V8r6qfrw2rS9YQopOuRbNolSZIkSW3Skpp0fUFEup6TEF673ic5enVFsmmXJEmSJLUpVRHpelVEun5UBhzXCeKjnK5HsmmXJEmSJLUZi0vD6fqisrqxzjXpeq9mkq5HsmmXJEmSJLV6ldXw4kr498rwOnaAmBCM6Agjm1m6HsmmXZIkSZLUqi2qSdcXR6TrXRLhnFzokRS9uhrCpl2SJEmS1CpVVoeT9Rc3SNePzoCRGRDXTNP1SDbtkiRJkqRWZ0FNur4kIl3vmhheu969mafrkWzaJUmSJEmtRmV1eFf4GYX10/WRGeGEvSWk65Fs2iVJkiRJrcL8deF0fWl53Vi3mrXrXVtQuh7Jpl2SJEmS1KJVVMPzK2DmSqgJ14kNwbGdYERG+PuWyqZdkiRJktRizatJ1/Mj0vUeSeG16zslRq+upmLTLkmSJGnLKtbAO+Nh5Qew269gl4ujXZFEeTU8txxeKaxL1+Mi0vWYFpyuR7JplyRJkrRl3/w/WPgUUA3vXwJdjoH2vaNdldqw/5XA5HwoiEjXe9ak611aQboeyaZdkiRJ0pZVV25wuSo6dajNK6tJ11/dIF0/PhOGd2w96Xokm3ZJkiRJW7brpbD8LVj5Eew2AdL6RrsitUHflMCUPFhWUTfWOxnG5UBuK0vXI9m0S5IkSdqyhA5w+IvRrkJtVFk1PLMMZq2qG4sPwYmZcEQrTdcj2bRLkiRJkpqlr9bC1HxYHpGu90kOr13PSYheXTuSTbskSZIkqVkprYLpy2H2qrqx+BCclAWHd2j96Xokm3ZJkiRJUrPx35p0fUVEut43GcbmQnYbSdcj2bRLkiRJkqKutAqeWgZvFNWNJcTAyZkwtAOE2lC6HsmmXZIkSZIUVV+shal5UBhxdsFdU2BsDmS2wXQ9kk27JEmSJCkqSmrS9bci0vXEGDg1Cw5Nb7vpeiSbdkmSJEnSDvfZGng4H1ZFpOu7p8DZudApPnp1NTc27ZIkSZKkHaakCp4ogLnFdWNJNen6IabrG7FplyRJkiTtEJ+sgUfyoSgiXd+zHYzJgQzT9U2yaZckSZIkbVdrq+DxAnhng3R9VDYMTjNd3xKbdkmSJEnSdvPRani0AIoj0vV+Nel6R9P1rbJplyRJkiQ1uTWVMK0A3ltdN5YSC6dnwYGm6w1m0y5JkiRJalIfroZH82F1Vd3YXu3hrGzoYLreKDbtkiRJkqQmsboSHiuADzZI18/IhoGppuvbwqZdkiRJkvSjBEG4UX+sANZEpOv7tIezciDNznOb+dJJkiRJkrZZcWV4KvxHa+rG2sXC6GwYYLr+o9m0S5IkSZIaLQjg3dXhU7mtjUjX90sNN+ym603Dl1GSJEmS1ChFlfBIPnwSka6nxsLoHNg/NXp1tUY27ZIkSZKkBgkCeKcYHl8GJRHp+oDU8GZzqXaYTc6XVJIkSZK0Vasq4OF8+Gxt3VhqbHijuX1N17cbm3ZJkiRJ0mYFAcwthicKYF113fjAtHC63i42erW1BTbtkiRJkqRNKqyAqfnwRUS6nhYHY3Jg7/bRq6stsWmXJEmSJNUTBPBmETy1DEoj0vWD0mCU6foOZdMuSZIkSaq1ogKm5sF/S+rGOtSk6/1N13c4m3ZJkiRJEkEAb9Sk62UR6frgdDgtC1JM16PCpl2SJEmS2rjl5eG1619FpOsd4+DsXNizXfTqkk27JEmSJLVZQQCzV8H05fXT9UPS4dQsSDZdjzqbdkmSJElqg5aVw5R8+CYiXc+Ih7NzYA/T9WbDpl2SJEmS2pAggFdXwbPLoTwiXT+sA5ySCUmm682KTbskSZIktREF5TA5D/63rm6sUzyMzYHdTNebJZt2SZIkSWrlqgN4tTCcrlcEdeNDO8DJWZAYE7XStBU27ZIkSZLUiuWXw6Q8mBeRrmfGw7hc2CUlenWpYWzaJUmSJKkVqg7g5UJ4bjlU1qTrIeDwjnBipul6S2HTLkmSJEmtzNKycLo+v7RuLDshvHa9r+l6i2LTLkmSJEmtRHUAM1bCv1bUT9eHdYQTMiHBdL3FsWmXJEmSpFZgSU26viAiXc9JCK9d75Mcvbr049i0S5IkSVILVhWRrldFpOvDM+D4ThBvut6i2bRLkiRJUgu1uDScri8qqxvrXJOu9zJdbxVs2iVJkiSphamshhdXwr9XhtexQzhdH5EBx5qutyo27ZIkSZLUgiyqSdcXR6TrXRJhXA70NF1vdWzaJUmSJKkFqKyGF1bCfyLS9ZgQHJ0BIzMgznS9VbJplyRJkqRmbkFNur4kIl3vmhheu949KXp1afuzaZckSZKkZqqyOrwr/IzC+un6TzLgGNP1NsGmXZIkSZKaofnrwun60vK6sW416Xo30/U2w6ZdkiRJkpqRimp4fgXMXAk14TqxIRjZKbx+PTYU1fK0g9m0S5IkSVIzMW8dTM6DvIh0vXsSnJMLOyVGry5Fj027JEmSJEVZRTU8txxeLqxL1+NC4XOuH2W63uosL1nOnW/e2aBjbdolSZIkKYq+q0nX8yPS9Z5J4bXrXUzXW6WRj47kvXnvNehYm3ZJkiRJioLyanh2Oby6Qbp+fCYM7xjeJV6t08d5HxMEwdYPBDxBgCRJkiTtYN+WwO/nwysRDXvvZPhtDxiRYcPe2l18wMUNPjbqTfsPP/zAmDFj6NSpEykpKeyzzz588MEHtdcHQcANN9xAly5dSE5OZujQoXzxxRf17qOsrIxLL72UzMxM2rVrx/HHH8/ixYt39FORJEmSpC0qq4Zp+fDnRbCsIjwWH4JTs+DKbpDrdPg24fajbmfO+DkNOjaqTXthYSEHH3ww8fHx/Oc//+HLL7/k9ttvp0OHDrXH3Hrrrdxxxx3cfffdvPfee+Tm5jJ8+HBWr15de8yECRN45plnmDZtGm+++SZr1qzh2GOPpaqqKgrPSpIkSZI29nVNuj5rVd1Yn2T4bU8YbrrepoRCIfbM3rNhxwYNnUi/Hfz617/mrbfe4o033tjk9UEQ0KVLFyZMmMDVV18NhFP1nJwcbrnlFi688EKKiorIyspi6tSpnH766QAsWbKEbt268cILLzBixIit1lFcXEx6ejpFRUWkpaU13ROUJEmS1OaVVsH05TB7Vd1YfAhOyoLDO9ist1UN7UOjmrT/85//ZMCAAZx22mlkZ2ez7777ct9999Ve//3335OXl8dRRx1VO5aYmMiQIUOYMyc8leCDDz6goqKi3jFdunShX79+tcdsqKysjOLi4npfkiRJkprWAx8+wMEPHMxVL11FZXVltMuJiv+uhd8vqN+w902G3/WEYW42pwaIatM+b9487rnnHvr27cuMGTP42c9+xi9+8QumTJkCQF5eHgA5OTn1bpeTk1N7XV5eHgkJCXTs2HGzx2zo5ptvJj09vfarW7duTf3UJEmSpDbti4IvOP/585mzeA63zbmNyR9PjnZJO1RpFTycB3cthhU1a9cTYuCMbLi8G2QnRLc+tRxRPeVbdXU1AwYMYOLEiQDsu+++fPHFF9xzzz2MHTu29rhQqP6fn4Ig2GhsQ1s65pprruGyyy6rvVxcXGzjLkmSJDWh4rK62awxoRhWla6KXjE72BdrYWoeFEZMLtglBcblQKbNuhopqkl7586d2WOPPeqN7b777ixcuBCA3NxcgI0S84KCgtr0PTc3l/LycgoLCzd7zIYSExNJS0ur9yVJkiSp6RzY9UB+ut9PiYuJ48CdDmT8fuOjXdJ2t64KpuTBXxfXNeyJMXBmDlzW1YZd2yaqTfvBBx/M119/XW/sm2++oUePHgD06tWL3NxcXnrppdrry8vLmT17NoMHDwZg//33Jz4+vt4xS5cu5fPPP689RpIkSdKOFROK4R/H/YOK31YwZ/wcOiR1iHZJ29Xna+CG+fBWUd3YbilwfU8Y0gG2MlFY2qyoTo//1a9+xeDBg5k4cSKjRo3i3Xff5R//+Af/+Mc/gPC0+AkTJjBx4kT69u1L3759mThxIikpKZx55pkApKenM378eC6//HI6depERkYGV1xxBf379+fII4+M5tOTJEmS1MqVVMETBTA3Ym/rpJjwedcPSbdZ148X1ab9gAMO4JlnnuGaa67h97//Pb169eKuu+7irLPOqj3mqquuYt26dVx00UUUFhZy4IEHMnPmTFJTU2uPufPOO4mLi2PUqFGsW7eOYcOGMWnSJGJjY6PxtCRJkiS1AZ+ugYfzoShi7foe7eDsHMiIj15dal2iep725sLztEuSJElqqLVV8HgBvLNBuj4qGwanma6rYRrah0Y1aZckSZKkluTj1fBIARRHpOv92sGYHOhouq7twKZdkiRJkrZiTSVMK4D3VteNpcTCqCw4yHRd25FNuyRJkiRtwYer4dF8WF1VN7ZXezgrGzqYrms7s2mXJEmSpE1YXQmPFcAHG6TrZ2TDwFTTde0YNu2SJEmSFCEIwo36YwWwJiJd36c9nJUDaXZR2oF8u0mSJElSjeLK8FT4j9bUjbWLhdHZMMB0XVFg0y5JkiSpzQuC8CZz0wrCp3Rbb7/UcMNuuq5o8a0nSZIkqU0rqoRH8uGTiHS9fSycmQP7p0avLgls2iVJkiS1UUEA7xTD48ugJCJdH5Aa3mwu1W5JzYBvQ0mSJEltzqoKeDgfPltbN5Zak67vZ7quZsSmXZIkSVKbEQQwtxieKIB11XXjA9Pg9Cxob4ekZsa3pCRJkqQ2obACpubDFxHpelocjMmBvdtHry5pS2zaJUmSJLVqQQBvFcGTy6A0Il0/KA1GZYdP6SY1VzbtkiRJklqtlRUwJQ/+W1I31iEOzsqBvUzX1QLYtEuSJElqdYIA3iiCp5ZBWUS6PjgdTsuCFNN1tRA27ZIkSZJaleXl4bXrX22Qrp+dA/1M19XC2LRLkiRJahWCAGavgunL66frh6TDqVmQbLquFsimXZIkSVKLt6wcpuTDNxHpesc4GJsLe7SLXl3Sj2XTLkmSJKnFCgKYtQqeWQ7lEen6YR3glExIMl1XC2fTLkmSJKlFKigP7wz/7bq6sU7xMDYHdjNdVyth0y5JkiSpRakO4NVCeHY5VAR140M7wEmm62plbNolSZIktRj55TApD+ZFpOuZ8TAuF3ZJiV5d0vZi0y5JkiSp2asO4OVC+OcG6foRHeHETEiMiV5t0vZk0y5JkiSpWVtaBpPz4PvSurHshPDa9b6m62rlbNolSZIkNUvVAcxcCc+vgMqadD0EDOsIJ2RCgum62gCbdkmSJEnNzpKy8Nr1BRHpek5CeO16n+To1SXtaDbtkiRJkpqNqgBmrIR/rQh/D+F0fXgGHN8J4k3X1cbYtEuSJElqFhaXhtP1RWV1Y7k16Xpv03W1UTbtkiRJkqKqshpeXAkvrKyfro/IgGNN19XG2bRLkiRJippFNen64oh0vUsijMuBnqbrkk27JEmSpB2vsjqcrP9nZXiXeICYEBydASMzIM50XQJs2iVJkiTtYAtKw+dd/yEiXd8pMbx2vUdS9OqSmiObdkmSJEk7RGV1eFf4GYX10/WfZMAxpuvSJtm0S5IkSdru5q8Lr11fWl431jURzsmFbqbr0mbZtEuSJEnabiqq4fkVMHMl1ITrxK5P1zuFv5e0eTbtkiRJkraLeevCa9fzItL17knhneG7mq5LDWLTLkmSJKlJVVTDc8vh5cK6dD0uFD7n+lEZputSY9i0S5IkSWoy39Wk6/kR6XrPpPDO8F0So1eX1FLZtEuSJEn60cqr4dnl8OoG6frxmTC8Y3iXeEmNZ9MuSZIk6Uf5tiScri+rqBvrVZOudzZdl34Um3ZJkiRJ26SsGp5ZBrNW1Y3F16TrR5quS03Cpl2SJElSo31dAlPyYHlEut4nOZyu5yREry6ptbFplyRJktRgpVUwfTnMXlU3Fh+Ck7Lg8A6m61JTs2mXJEmS1CBfrYUp+bAiIl3vmwxjcyHbdF3aLmzaJUmSJG1RaRU8tQzeKKobS4iBkzNhaAcIma5L241NuyRJkqTN+nJteO16YWXd2C4pMC4HMk3Xpe3Opl2SJEnSRtZVwZPL4K2IdD2xJl0f0sF0XdpRbNolSZIk1fP5GpiaD6si0vXdUsJr1zvFR68uqS2yaZckSZIEQEkVPFEAc4vrxpJi4NQsOCTddF2KBpt2SZIkSXy6Bh7Oh6KIdH2PdnB2DmSYrktRY9MuSZIktWFrq+DxAnhng3R9VDYMTjNdl6LNpl2SJElqoz5eDY8UQHFEut6vHYzJgY6m61KzYNMuSZIktTFrKmFaAby3um4suSZdH2S6LjUrNu2SJElSG/Lhang0H1ZX1Y3t1R7OyoYOputSs2PTLkmSJLUBqyvhsQL4ICJdT4mFM7JhYKrputRc2bRLkiRJrVgQhBv1xwpgTUS6vnd7OCsH0u0IpGbNf6KSJElSK1VcGZ4K/9GaurF2sTA6GwaYrkstgk27JEmS1MoEAbxfk66vjUjX920PZ+ZAml2A1GL4z1WSJElqRYoq4ZF8+CQiXW9fk67vb7outTg27ZIkSVIrEATwTjE8vgxKItL1AanhzeZS/eQvtUj+05UkSZJauFUV8EgBfBqRrqfGhqfC75cavbok/Xg27ZIkSVILFQQwtxie3CBdH5gGp2dBez/tSy2e/4wlSZKkFqiwAh7Oh8/X1o2lxcFZ2bCP6brUati0S5IkSS1IEMCcYniiAEqr68YPSoNR2eFTuklqPWzaJUmSpBZiZQVMzYcvI9L1DnFwVg7s1T56dUnafmzaJUmSpGYuCOCNInh6Wf10fXA6nJYFKabrUqtl0y5JkiQ1YysqYEoefFVSN9YhDs7OgX6m61KrZ9MuSZIkNUNBALNXwfTlUBaRrh+SDqdmQbLputQm2LRLkiRJzczycpicD99EpOsd4+DsXNizXfTqkrTj2bRLkiRJzUQQwGurwul6eUS6flgHOCUTkkzXpTbHpl2SJElqBgrKw2vXv11XN9YpHsbmwG6m61KbZdMuSZIkRVF1AK8WwrPLoSKoGx/aAU4yXZfaPJt2SZIkKUryy2FyHnwXka5nxsPYXNg1JXp1SWo+bNolSZKkHaw6gJcL4Z8bpOuHd4CTsiAxJmqlSWpmbNolSZKkHWhpGUzJh3kR6XpWPIzLhb6m65I2YNMuSZIk7QDVAbxUk65X1qTrIWBYRzghExJM1yVtgk27JEmStJ0tKQuvXZ9fWjeWkxBO1/skR68uSc1fVP+ed8MNNxAKhep95ebm1l4fBAE33HADXbp0ITk5maFDh/LFF1/Uu4+ysjIuvfRSMjMzadeuHccffzyLFy/e0U9FkiRJ2khVAC+sgD8uqGvYQ8BRGfDbHjbskrYu6pNw9txzT5YuXVr79dlnn9Ved+utt3LHHXdw9913895775Gbm8vw4cNZvXp17TETJkzgmWeeYdq0abz55pusWbOGY489lqqqqmg8HUmSJAmAxaXwp4XwXMR0+NwEuKo7nJIF8VH/JC6pJYj69Pi4uLh66fp6QRBw1113cd1113HyyScDMHnyZHJycnj00Ue58MILKSoq4oEHHmDq1KkceeSRADz88MN069aNl19+mREjRuzQ5yJJkiRVBfCfFfDCyvD3UJeuH9fJZl1S40T9R8a3335Lly5d6NWrF2eccQbz5s0D4PvvvycvL4+jjjqq9tjExESGDBnCnDlzAPjggw+oqKiod0yXLl3o169f7TGbUlZWRnFxcb0vSZIk6cdaVAo3L4DnV9Q17J0T4Nfd4WTTdUnbIKo/Ng488ECmTJnCjBkzuO+++8jLy2Pw4MGsWLGCvLw8AHJycurdJicnp/a6vLw8EhIS6Nix42aP2ZSbb76Z9PT02q9u3bo18TOTJElSW1JZDc8vh4kLYVFZeCwmBMdkwG96QE/XrkvaRlGdHn/MMcfUft+/f38GDRpEnz59mDx5MgcddBAAoVCo3m2CINhobENbO+aaa67hsssuq71cXFxs4y5JkqRtsrAUJuXBD2V1Y10S4Zxc6JEUvboktQ7NaoJOu3bt6N+/P99++23tOvcNE/OCgoLa9D03N5fy8nIKCws3e8ymJCYmkpaWVu9LkiRJaozK6vAmczcvrGvYY0JwbCe4rrsNu6Sm0aya9rKyMv773//SuXNnevXqRW5uLi+99FLt9eXl5cyePZvBgwcDsP/++xMfH1/vmKVLl/L555/XHiNJkiQ1tfnr4I8Lw6dzq65Zu941Ea7tDsdlQlyz+pRdX3VQTXVQHe0yJDVQVKfHX3HFFRx33HF0796dgoICbrrpJoqLixk3bhyhUIgJEyYwceJE+vbtS9++fZk4cSIpKSmceeaZAKSnpzN+/Hguv/xyOnXqREZGBldccQX9+/ev3U1ekiRJaioV1eFN5mauhJpenZgQjMyAozOad7MO8NxXz3HW9LMIhUI8dspjHLvLsdEuSdJWRLVpX7x4MaNHj2b58uVkZWVx0EEH8fbbb9OjRw8ArrrqKtatW8dFF11EYWEhBx54IDNnziQ1NbX2Pu68807i4uIYNWoU69atY9iwYUyaNInY2NhoPS1JkiS1QvPWweQ8yCuvG+ueBONyoGsLmQr/qxm/Ym3FWgAum3GZTbvUAoSCIAi2fljrVlxcTHp6OkVFRa5vlyRJUj0V1fDPFfBSRLoeW7N2fURG+PuWYuB9A/lw6YcAHNj1QN46760oVyS1XQ3tQ6OatEuSJEnN2Xc16Xp+RLreIym8M3yXxOjVta0eO+UxrnzpSkKEuO2o26JdjqQGsGmXJEmSNlBeszP8K4V16XpcCI7rBEdlhNext0R9Mvow/fTp0S5DUiPYtEuSJEkRvi2BKflQEJGu90qCcbnQuQWm65JaNpt2SZIkCSirhmeWwWur6qfrJ2TCkR1bbrouqWWzaZckSVKb901JeO368oq6sT7J4XQ9JyF6dUmSTbskSZLarLJqmF6Trq8XH4ITM+EI03VJzYBNuyRJktqkr9aG166viEjXd65J17NN1yU1EzbtkiRJalNKq+Dp5fD6qrqxhBg4KRMO7wAh03VJzYhNuyRJktqML9fClDworKwb2yUFxuZAlum6pGbIpl2SJEmt3roqeHIZvFVUN5YYAydnwpAOpuuSmi+bdkmSJLVqn6+Bh/Prp+u7pcDZOZBpui6pmbNplyRJUqtUUpOuz9kgXT81Cw5NN12X1DLYtEuSJKnV+XQNPJIPqyLS9d1T4Oxc6BQfvbokqbFs2iVJktRqrK2CJwrg7eK6saQYOC0LDjZdl9QC2bRLkiSpVfikZu16cUS6vme78Nr1jqbrkloom3ZJkiS1aGsqYVoBvLe6biw5BkZlw6A003VJLZtNuyRJklqsj1aH166vrqob698OxuRAB9N1Sa2ATbskSZJanNU16fr7Eel6SiycngUHmq5LakVs2iVJktSifLAaHs2HNRHp+t7t4awcSPfTraRWxh9rkiRJahGKK+GxAvgwIl1vFwtnZMMBqabrklonm3ZJkiQ1a0EQngb/WEH4lG7r7dsezsyBND/RSmrF/BEnSZKkZqu4MrzR3Mdr6sbax8LobNjfdF1SG2DTLkmSpGYnCODd1eHN5koi0vUBqeHp8Kl+ipXURvjjTpIkSc3Kqgp4pAA+jUjXU2PDU+H3S41eXZIUDTbtkiRJahaCAN4uhieW1U/XD6hJ19v7yVVSG+SPPkmSJEVdYQU8nA+fr60bS4uDs7JhH9N1SW2YTbskSZKiJghgTjE8UQCl1XXjB6bB6dnhU7pJUltm0y5JkqSoWFkBU/Phy4h0PT0OxuTAXu2jV5ckNSc27ZIkSdqhggDeLIKnltVP1wenw2lZkGK6rtaoohhePwVWvA29z4P97/KchWoQm3ZJkiTtMCsqYEoefFVSN9YhDs7OgX6m62rNvnsA8l8BAvjmr9DzTMg8MNpVqQWwaZckSdJ2FwTwehE8vQzKItL1g2vS9WTTdbV2sSlAUHc5LiVqpahlsWmXJEnSdrW8HCbnwzcR6XrHODg7F/ZsF726pB2qz3mw6lNY9ib0+Sl06B/titRC2LRLkiRpuwgCeG0VTF8O5RHp+qHpcGoWJJmuqy2JiYcD/i/aVagFsmmXJElSkysoD69d/3Zd3Vin+PDa9d1N1yWpwWzaJUmS1GSqA5i1Cp5ZBhURy3eHdoCTMk3XJamxbNolSZLUJPLLYXIefBeRrmfGw9hc2NU9tyRpm9i0S5Ik6UepDuCVQnhuef10/fAOcFIWJMZErTRJavFs2iVJkrTNlpbBlHyYF5GuZ8XDuFzoa7ouST+aTbskSZIarTqAlwrhn8uhsiZdDwFHdIQTMyHBdF2SmoRNuyRJkhplSVl47fr80rqx7AQ4Jxf6JEevLklqjWzaJUmS1CDVAcxYCf9aUT9dP7IjnJAJ8abrktTkbNolSZK0VYtLYXI+LIxI13MTwmvXe5uuS9J2Y9MuSZKkzaoK4MWV8O8V4e8hnK4flQHHdTJdl6TtzaZdkiRJm7SoNLx2fVFZ3VjnmrXrPU3XJWmHsGmXJElSPZXV8J+V8MLK8Dp2gJgQjOgIx3aCONN1SdphbNolSZJUa2FNur44Il3vkhhO13skRa8uSWqrbNolSZJEZTX8e2V4/Xpkun5MBvwkw3RdkqLFpl2SJKmNm78uvDP8koh0vWtNut7NdF2SosqmXZIkqY2qqA6fc33GSqgJ14kJwcgMONp0XZKaBZt2SZKkNuj7deG160vL68a61aTrXU3XJanZsGmXJElqQyqq4Z8r4KWIdD02FN4VfkRG+HtJUvNh0y5JktRGfFeTrudHpOs9ksLpepfE6NUlSdo8m3ZJkqRWrrwanlsOrxTWpetxITiuExyVEV7HLklqnmzaJUmSWrFvS2BKPhREpOu9kmBcLnQ2XZekZs+mXZIkqRUqq4Znl8OsDdL1EzLhyI6m65LUUti0S5IktTLflITXri+vqBvrnQzjciDXdF2SWhSbdkmSpFairBqmL4PXVtWNxYfgxEw4wnRdklokm3ZJkqRW4Ku14bXrKyLS9Z2Tw2vXsxOiV5ck6cexaZckSWrBSqvg6eXw+qq6sYQYOCkTDu8AIdN1SWrRbNolSZJaqP/WpOsrI9L1XVJgbA5kma5LUqtg0y5JktTCrKuCp5bBm0V1Y4kxcHImDOlgui5JrYlNuyRJUgvyxVqYmgeFlXVju6XA2TmQabouSa2OTbskSVILUFIFTy6DORuk66dmwaHppuuS1FrZtEuSJDVzn62Bh/NhVUS6vnsKnJ0LneKjV5ckafuzaZckSWqm1lbBEwXwdnHdWFIMnJYFB5uuS1KbYNMuSZLUDH1Sk64XR6Tre7YLr13vaLouSW2GTbskSVIzsrYKphXAuxHpenIMjMqGQWmm65LU1ti0S5IkNRMfrYZH8mF1Vd1Y/3YwJgc6mK5LUptk0y5JkhRlqyvD6fr7q+vGUmLh9Cw40HRdkto0m3ZJkqQo+mA1PLZBur53ezgrB9L9pCZJbZ6/CiRJkqJgdSU8WgAfRqTr7WLhjGw4INV0XZIUZtMuSZK0AwVBeBr8YwXhTefW27c9nJkDaX46kyRF8NeCJEnSDlJcGd5o7uM1dWPtY2F0Nuxvui5J2oSYbbnRG2+8wZgxYxg0aBA//PADAFOnTuXNN99s0uIkSZJagyCAd4rh+vn1G/b9U+GGnjDAzeYkSZvR6Kb96aefZsSIESQnJ/PRRx9RVlYGwOrVq5k4cWKTFyhJktSSraqAvy2BB5dCSc10+NRYuLALXNAFUp33KEnagkY37TfddBN///vfue+++4iPrzth6ODBg/nwww+btDhJkqSWKghgbhHcuAA+jUjXD6hJ1/dLjVppkqQWpNF/2/3666857LDDNhpPS0tj1apVTVGTJElSi1ZYAQ/nw+dr68bS4uDMbNjXZl2S1AiNTto7d+7M//73v43G33zzTXr37r3Nhdx8882EQiEmTJhQOxYEATfccANdunQhOTmZoUOH8sUXX9S7XVlZGZdeeimZmZm0a9eO448/nsWLF29zHZIkSdsqCOCtIrhhfv2G/cC0cLpuwy5JaqxGN+0XXnghv/zlL3nnnXcIhUIsWbKERx55hCuuuIKLLrpom4p47733+Mc//sFee+1Vb/zWW2/ljjvu4O677+a9994jNzeX4cOHs3p13QlNJ0yYwDPPPMO0adN48803WbNmDcceeyxVVVUbPowkSdJ2s7IC/t8PMCUPSqvDY+lxcNFOcF7n8DnYJbVC5UWw8ClY9Xm0K1ErFQqCIGjsja677jruvPNOSktLAUhMTOSKK67gD3/4Q6MLWLNmDfvttx9/+9vfuOmmm9hnn3246667CIKALl26MGHCBK6++mognKrn5ORwyy23cOGFF1JUVERWVhZTp07l9NNPB2DJkiV069aNF154gREjRjSohuLiYtLT0ykqKiItLa3Rz0GSJLVdQQBvFsFTy+qadYBBaTAqG1Js1qXWq6oMXugPq78FYuCImZA7LNpVqYVoaB+6Tad8++Mf/8jy5ct59913efvtt1m2bNk2NewAF198MSNHjuTII4+sN/7999+Tl5fHUUcdVTuWmJjIkCFDmDNnDgAffPABFRUV9Y7p0qUL/fr1qz1mU8rKyiguLq73JUmS1FgrKuAvi8Pr19c37B3i4JKd4JzONuxSq1f8dU3DTvi8jT88H9161Co1umk/77zzWL16NSkpKQwYMICBAwfSvn171q5dy3nnndeo+5o2bRoffvghN99880bX5eXlAZCTk1NvPCcnp/a6vLw8EhIS6Nix42aP2ZSbb76Z9PT02q9u3bo1qm5JktS2BQHMXgU3zof/ltSNH5wO1/eE/u2jVJikHSt1Z0jpGv4+qILcI7d8vLQNGt20T548mXXr1m00vm7dOqZMmdLg+1m0aBG//OUvefjhh0lKStrscaFQqN7lIAg2GtvQ1o655pprKCoqqv1atGhRg+uWJElt2/JyuHMxPJoPZTXpesc4+EVXGJtrui61KXEpMOJ9GHgvDH8Tdjo22hWpFWrwKd+Ki4sJgoAgCFi9enW9RruqqooXXniB7OzsBj/wBx98QEFBAfvvv3+9+3n99de5++67+frrr4Fwmt65c+faYwoKCmrT99zcXMrLyyksLKyXthcUFDB48ODNPnZiYiKJiYkNrlWSJCkI4LVVMH05lEesXT80HU7NgiSbdaltSs6BnS+IdhVqxRrctHfo0IFQKEQoFGKXXXbZ6PpQKMSNN97Y4AceNmwYn332Wb2xc889l912242rr76a3r17k5uby0svvcS+++4LQHl5ObNnz+aWW24BYP/99yc+Pp6XXnqJUaNGAbB06VI+//xzbr311gbXIkmStCUF5eFd4b+NmGyYEQ9jc2D3dtGrS5LU+jW4aZ81axZBEHDEEUfw9NNPk5GRUXtdQkICPXr0oEuXLg1+4NTUVPr161dvrF27dnTq1Kl2fMKECUycOJG+ffvSt29fJk6cSEpKCmeeeSYA6enpjB8/nssvv5xOnTqRkZHBFVdcQf/+/Tfa2E6SJKmxggBeXQXPLIOKiPPtDOkAJ2earkuStr8GN+1DhgwBwru6d+vWjZiYbdp4vlGuuuoq1q1bx0UXXURhYSEHHnggM2fOJDU1tfaYO++8k7i4OEaNGsW6desYNmwYkyZNIjbW36KSJGnb5ZfD5Dz4LiJdz4yHs3NgN9N1SdIOsk3naQcoKSlh4cKFlJeX1xvfa6+9mqSwHcnztEuSpPWqA3ilEJ5bXj9dP7wDnJQFids/t5AktQEN7UMbnLSvt2zZMs4991z+85//bPL6qqqqxt6lJElSs5BXBpPzYV5Eup4VH94VfpeU6NUlSWq7Gv234gkTJlBYWMjbb79NcnIyL774IpMnT6Zv377885//3B41SpIkbVfVAcxYCX9YUNewh4BhHeG3PW3YJUnR0+ik/dVXX+W5557jgAMOICYmhh49ejB8+HDS0tK4+eabGTly5PaoU5IkabtYUhZeuz6/tG4sOwHG5cDONuuSpChrdNK+du3a2vOxZ2RksGzZMgD69+/Phx9+2LTVSZIkbSfVAfxnBfxxQV3DHgKGd4Tf9rBhv/f9eznliVOY+snUaJciSW1ao5P2XXfdla+//pqePXuyzz77cO+999KzZ0/+/ve/07lz5+1RoyRJUpP6oSZdXxCRruckwDm50Ds5enU1FzO/m8nP/v0zQoSY/t/p7Jq5KwN3GhjtsiSpTWp00z5hwgSWLl0KwPXXX8+IESN45JFHSEhIYNKkSU1dnyRJUpOpCuDFlfDvFeHvIZyuH5UBx3WCeHeGB2Bx8WIAAoLayzbtkhQd23zKt/VKSkr46quv6N69O5mZmU1V1w7lKd8kSWr9FpfCpDxYVFY31jkBxuVCL9P1eorLihk6aSgf5X3EId0OYebZM0mO90WSpKbU0D70RzftrYFNuyRJrVdlNfxnJbywMryOHSAmBCM6wkjT9c0KgoBVpavokNSBUCgU7XIkqdXZbudpD4KAp556ilmzZlFQUEB1dXW966dPn974aiVJkraDhaXhteuLI9L1Lonhtes9kqJXV0sQCoXomNwx2mVIUpvX6Kb9l7/8Jf/4xz84/PDDycnJ8S+vkiSp2amshn+vDK9fj0zXj8mAn2RAnOm6JKmFaHTT/vDDDzN9+nR+8pOfbI96JEmSfpQFNWvXl0Sk611r0vVupuuSpBam0U17eno6vXv33h61SJIkbbOKavjXCphZWD9dH5kBR5uuS5JaqEb/+rrhhhu48cYbWbdu3faoR5IkqdG+Xwd/XFB/Ony3RLiuOxybacMuSWq5Gp20n3baaTz22GNkZ2fTs2dP4uPj613/4YcfNllxkiRJW1JRDf9cAS+thPWnw4kNwbGdYERG+HtJklqyRjft55xzDh988AFjxoxxIzpJkhQ1360L7wyfX1431iMpfN71nRKjV5ckSU2p0U37v//9b2bMmMEhhxyyPeqRJEnaovJqeG45vFJYl67HheC4TnBURngduyRJrUWjm/Zu3bpt8cTvkiRJ28u3JTAlHwoi0vWeSeGd4TubrkuSWqFGb8ty++23c9VVVzF//vztUI4kSdLGyqrh8QK4fVFdwx4XglOy4OruNuySpNar0Un7mDFjKCkpoU+fPqSkpGy0Ed3KlSubrDhJkqRvSsJr15dX1I31ToZxOZBrsy5JauUa3bTfdddd26EMSZKk+sqqYfoyeG1V3Vh8CE7MhCM6unZdktQ2NLppHzdu3PaoQ5IkqdZXa8Nr11dEpOs7J8PYXMhJiF5dkiTtaA1q2ouLi2s3nysuLt7isW5SJ0mStlVpFTy9HF5fVTcWH4KTs+DwDuCZZiVJbU2DmvaOHTuydOlSsrOz6dChwybPzR4EAaFQiKqqqiYvUpIktX7/rUnXV0ak631r0vVs03VJUhvVoKb91VdfJSMjA4BZs2Zt14IkSVLbsq4Knl4GbxTVjSXGwMmZMKSD6bokqW1rUNM+ZMiQ2u979epFt27dNkrbgyBg0aJFTVudJElq1b5YC1PzoLCybmzXFBibA5mm65IkNX4jul69etVOlY+0cuVKevXq5fR4SZK0VSVV8OQymLNBun5qFhyabrouSdJ6jW7a169d39CaNWtISkpqkqIkSVLr9dkaeDgfVkWk67unwNm50Ck+enVJktQcNbhpv+yyywAIhUL89re/JSUlpfa6qqoq3nnnHfbZZ58mL1CSJLUOJVXweAG8HXEimqQYOC0LDjZdlyRpkxrctH/00UdAOGn/7LPPSEioW2iWkJDA3nvvzRVXXNH0FUqSpBbvk5p0vTgiXd+zHYzJgQzTdUmSNqvBTfv6XePPPfdc/vKXv3g+dkmStFVra9L1dyLS9eQYGJUNg9JM1yVJ2ppGr2l/6KGH6l0uLi7m1VdfZbfddmO33XZrssIkSVLL9tFqeLSgfrrevyZd72C6LklSgzS6aR81ahSHHXYYl1xyCevWrWPAgAHMnz+fIAiYNm0ap5xyyvaoU5IktRCrK2FaAby/um4sJRZOz4IDTdclSWqUmMbe4PXXX+fQQw8F4JlnniEIAlatWsVf//pXbrrppiYvUJIktRwfrIYb59dv2PduD9f3gIPcbE6SpEZrdNNeVFRERkYGAC+++CKnnHIKKSkpjBw5km+//bbJC5QkSc3f6kq4dwn8YwmsrgqPtYuF8Z3h512cDi9J0rZq9PT4bt26MXfuXDIyMnjxxReZNm0aAIWFhZ6nXZKkNiYIwqn6YwXhTefW27c9nJkDaY3+pCFJkiI1+lfphAkTOOuss2jfvj09evRg6NChQHjafP/+/Zu6PkmS1EwVV8Kj+fDRmrqxdrFwZjbsn+pUeEmSmkKjm/aLLrqIAw88kIULFzJ8+HBiYsIz7Hv37u2adkmS2oAggHdXh0/lFpmu758Ko7Mh1XRdkqQmEwqCIIh2EdFWXFxMeno6RUVFnn9ekqQtWFUBjxTApxHpemosjM4JN+2SJKlhGtqHNngjuj322IOVK1fWXr7gggtYtmxZ7eWCggJSUlK2sVxJktScBQG8XQQ3LqjfsB+QCtf3tGGXJGl7aXDT/tVXX1FZWVl7edq0aaxeXXc+lyAIKC0tbdrqJElS1K2qgLt/gIfyoKRmOnxaHPysC5zfxenwkiRtT9v8a3ZTs+pD7jgjSVKrEQQwtxieKIB11XXjB6bB6dnhTeckSdL25d/GJUnSRgorYGo+fLG2biwtDsbkwN7to1eXJEltTYOb9lAotFGSbrIuSVLrEgTwZhE8tQxKI9L1g9JglOm6JEk7XIOb9iAIGDZsGHFx4ZusW7eO4447joSEBIB6690lSVLLs6ICpubBf0vqxjrUpOv9TdclSYqKBjft119/fb3LJ5xwwkbHnHLKKT++IkmStEMFAbxRk66XRaTrB6fDqVmQYrouSVLUeJ52PE+7JKntWl4OU/Lh64h0vWMcnJ0Le7aLXl2SJLV2De1D3YhOkqQ2KAhg9iqYvrx+un5oOpySBcmm65IkNQs27ZIktTHLatL1byLS9Yx4GJsDu5uuS5LUrNi0S5LURgQBvLoKnlkGFRGL4w7rAKdkQpLpuiRJzY5NuyRJbUBBOUzOg/+tqxvrVJOu72a6LklSs2XTLklSK1YdwKuF8Ozy+un64R3gpCxIjIlaaZIkqQEa1LT/9a9/bfAd/uIXv9jmYiRJUtPJK4PJ+TAvIl3PjIdxubBLSvTqkiRJDdegU7716tWrYXcWCjFv3rwfXdSO5infJEmtSXUALxfCc8uhsua3fAg4oiOckGm6LklSc9Ckp3z7/vvvm6wwSZK0/Swtg0l5ML+0biw7AcblwM6m65IktTjbvKa9vLyc77//nj59+hAX59J4SZKiqTqAGSvhXyvqp+vDatL1BNN1SZJapEb/Ci8pKWH8+PGkpKSw5557snDhQiC8lv1Pf/pTkxcoSZK2bEkZ/GlheLO59Q17TgJc2R1Oy7ZhlySpJWv0r/FrrrmGTz75hNdee42kpKTa8SOPPJLHH3+8SYuTJEmbVxXACyvgpgWwoGY6fAg4KgN+2wP6JEe1PEmS1AQaPa/92Wef5fHHH+eggw4iFArVju+xxx589913TVqcJEnatMWl4bXri8rqxjonhHeG72WzLklSq9Hopn3ZsmVkZ2dvNL527dp6TbwkSWp6ldXw4kr498rwOnYIp+tHZ8DIThDvVHhJklqVRv9qP+CAA/j3v/9de3l9o37fffcxaNCgpqtMkiTVs6gUbl4Iz6+oa9i7JMI1PeDELBt2SZJao0Yn7TfffDNHH300X375JZWVlfzlL3/hiy++YO7cucyePXt71ChJ0nb3r2/+xa9f/jW57XOZdOIkuqZ1jXZJtSqrw8n6ixHpekyoJl3PgDibdUmSWq1G/5ofPHgwb731FiUlJfTp04eZM2eSk5PD3Llz2X///bdHjZIkbVeV1ZWc/tTpfLHsC16b/xrXvHxNtEuqtaAU/rgwvOHc+oa9ayJc0z18KjcbdkmSWrdtOsF6//79mTx5clPXIklSVARBQGV1Ze3liuqKKFYTVlkdPuf6jML66fpPMuAY03VJktqMBjXtxcXFDb7DtLS0bS5GkqRoiI+NZ9IJk7jipSvIbZ/LH4/4Y1Trmb8uvDP80vK6sW6J4Z3huyVt/naSJKn1CQVBEGztoJiYmAbvDF9VVfWji9rRiouLSU9Pp6ioyD86SJKipqI6vMnczJWw/pdzbAiO7QQjMsLfS5Kk1qGhfWiDkvZZs2bVfj9//nx+/etfc84559TuFj937lwmT57MzTff/CPLliSpbZpXk67nR6TrPZLC6fpOidGrS5IkRVeDkvZIw4YN4/zzz2f06NH1xh999FH+8Y9/8NprrzVlfTuESbskKVrKq+G55fBKYV26HheRrseYrkuS1Co1tA9t9DY2c+fOZcCAARuNDxgwgHfffbexdydJUpv1vxL4wwJ4OaJh75kE1/WAYzrZsEuSpG1o2rt168bf//73jcbvvfdeunXr1iRFSZLUmpVVwxMF8OdFUFAzHT4uBCdnwdXdoYvT4SVJUo1Gn/Ltzjvv5JRTTmHGjBkcdNBBALz99tt89913PP30001eoCRJrck3JTAlD5ZFnFWudzKMy4HcNtCsrypdxWUzLuOH4h/47ZDfckj3Q6JdkiRJzVqj17QDLF68mL/97W989dVXBEHAHnvswc9+9rMWm7S7pl2StL2VVcMzy2DWqrqx+BCcmAlHdGw7U+Ev/vfF3PvBvVQH1aQmprL8yuXEx8ZHuyxJkna4Jt09fkNdu3Zl4sSJ21ycJEltyVdrYWo+LI9I1/skh3eGz0mIXl3RsGLdCoKa/60pX0NFdYVNuyRJW7BNTfuqVat44IEH+O9//0soFGKPPfbgvPPOIz09vanrkyRtzYInYNmb0P00yD402tUoQmkVTF8Os1fVjcWH4KQsOLxD20nXI1136HW8sfANlq1dxp+O/BMp8SnRLkmSpGat0dPj33//fUaMGEFycjIDBw4kCALef/991q1bx8yZM9lvv/22V63bjdPjJbVYS/4Dr/0EQrFACI77Gtr3jnZVAv5bk66viEjX+ybD2FzIbmPp+oaCIKA6qCY2JjbapUiSFDXbbXr8r371K44//njuu+8+4uLCN6+srOT8889nwoQJvP7669tetSSpcYq+BEIQVIUvr/6fTXuUlVbBU8vgjaK6sYQYODkThnaAUBtM1zcUCoWIDdmwS5LUEI1O2pOTk/noo4/Ybbfd6o1/+eWXDBgwgJKSkiYtcEcwaZfUYq1dBDMOgNJ86LgPDJ8DccnRrqrN+mItTM2Dwsq6sV1TYGwOZLbxdF2SJNW33ZL2tLQ0Fi5cuFHTvmjRIlJTUxtfqSRp27XrBsd/B2vmQ9ouEOOGXtFQUpOuvxWRrifGwKlZcGi66bokSdp2MY29wemnn8748eN5/PHHWbRoEYsXL2batGmcf/75jB49ulH3dc8997DXXnuRlpZGWloagwYN4j//+U/t9UEQcMMNN9ClSxeSk5MZOnQoX3zxRb37KCsr49JLLyUzM5N27dpx/PHHs3jx4sY+LUlqueLaQYc9bdij5LM1cOP8+g377ilwfU84rIMNe1QFAZQshqrSaFciSdI2a3TS/uc//5lQKMTYsWOprAzP/4uPj+fnP/85f/rTnxp1X127duVPf/oTO++8MwCTJ0/mhBNO4KOPPmLPPffk1ltv5Y477mDSpEnssssu3HTTTQwfPpyvv/66NtWfMGECzz//PNOmTaNTp05cfvnlHHvssXzwwQfExrpeTpK0fZRUwRMFMLe4biypJl0/xHQ9+oIA3jwNFj0NCZ1g+BuQvnu0q5IkqdEavaZ9vZKSEr777juCIGDnnXcmJaVpTtmSkZHBbbfdxnnnnUeXLl2YMGECV199NRBO1XNycrjlllu48MILKSoqIisri6lTp3L66acDsGTJErp168YLL7zAiBEjGvSYrmmXJDXGJ2vgkXwoili7vmc7GJMDGU54aB6KvoJ/1zTpoVjY5Rew/x3RrUmSpAgN7UMbPT1+vZSUFPr3789ee+3VJA17VVUV06ZNY+3atQwaNIjvv/+evLw8jjrqqNpjEhMTGTJkCHPmzAHggw8+oKKiot4xXbp0oV+/frXHbEpZWRnFxcX1viRJ2pq1VfDgUvjbD3UNe1JM+DRul+5kw96sJGVDbHK4YQ+qIHXnaFckSdI2afD0+PPOO69Bxz344IONKuCzzz5j0KBBlJaW0r59e5555hn22GOP2qY7Jyen3vE5OTksWLAAgLy8PBISEujYseNGx+Tl5W32MW+++WZuvPHGRtWpNiQvDx57DPr2hWOPjXY1kpqJj1bDowVQHJGu96tJ1zvarDc/iRlwxCvw3X2Q3g/6/izaFUmStE0a3LRPmjSJHj16sO+++7KNM+o3adddd+Xjjz9m1apVPP3004wbN47Zs2fXXh/aYFFgEAQbjW1oa8dcc801XHbZZbWXi4uL6dat2zY+A7Uq5eVw0EGwcGF4PeSDD8K550a7KklRtKYSphXAe6vrxlJi4fQsODDNtevNWtag8JckSS1Yg5v2n/3sZ0ybNo158+Zx3nnnMWbMGDIyMn50AQkJCbUb0Q0YMID33nuPv/zlL7Xr2PPy8ujcuXPt8QUFBbXpe25uLuXl5RQWFtZL2wsKChg8ePBmHzMxMZHExMQfXbtaoaVLoWYmBzEx8PrrNu1SG/bhang0H1ZX1Y3t1R7OyoYOpuuSJGkHaPCa9r/97W8sXbqUq6++mueff55u3boxatQoZsyY0aTJexAElJWV0atXL3Jzc3nppZdqrysvL2f27Nm1Dfn+++9PfHx8vWOWLl3K559/vsWmXdqsbt1gUEQqU7PBoaS2ZXUl/GMJ3LukrmFPiYXzOsNFXWzYJUnSjtOoU74lJiYyevRoRo8ezYIFC5g0aRIXXXQRFRUVfPnll7Rv375RD37ttddyzDHH0K1bN1avXs20adN47bXXePHFFwmFQkyYMIGJEyfSt29f+vbty8SJE0lJSeHMM88EID09nfHjx3P55ZfTqVMnMjIyuOKKK+jfvz9HHnlko2qRgHC6/uqr4YS9Rw/YdddoVyRpBwoC+GA1PFYAayLS9X3aw1k5kNboE6VKkiT9ONv88SMUChEKhQiCgOrq6m26j/z8fM4++2yWLl1Keno6e+21Fy+++CLDhw8H4KqrrmLdunVcdNFFFBYWcuCBBzJz5szac7QD3HnnncTFxTFq1CjWrVvHsGHDmDRpkudo17ZLSoKIMxJIahuKK8NT4T9aUzfWLhZGZ8OAVNeuS5Kk6GjUedrLysqYPn06Dz74IG+++SbHHnss5557LkcffTQxMdt89rio8zztktR2BQG8uxoeLwif0m29/VLDDbvpuiRJ2h4a2oc2+KPIRRddxLRp0+jevTvnnnsu06ZNo1OnTk1SrCRJ0VBUCY/kwycR6XpqLIzOgf1TN387SZKkHaXBSXtMTAzdu3dn33333eLp1KZPn95kxe0oJu2S1LYEAbxTDI8vg5KIdH1AKpyRDamm65IkaTtr8qR97NixWz0/uiRJzd2qCng4Hz5bWzeWGhveaG5f03VJktTMNLhpnzRp0nYsQ5Kk7SsIYG4xPFEA6yL2Tx2YFk7X27l/qSRJaoacAChJavUKK2BqPnwRka6nxcGYHNi7cWcrlSRJ2qFs2iVJrVYQwJtF8NQyKI1I1w9Kg1Gm65IkqQWwaZekrfniC3j2WTjoIBg2LNrVqIFWVMDUPPhvSd1Yh5p0vb/puiRJaiFs2iVpS5YuhYEDYd26cGz78ss27s1YEAThdL04xFPLoCwiXR+cDqdlQYrpuiRJakFiol2AJDVrX34JJSXhhj0UgnfeiXZF2owpn0yh/W09SX/keu6cl1/bsHeMg190hXG5NuySJKnlsWmXpC058EDYeefw9ykpcNJJ0a1HmxQEcOEbj1HS5XLWxHXl3R/eBeCQdLi+J+zZLrr1SZIkbSunx0vSlrRvDx99BO+9B7vvDrm50a5IG1hWDlPyISbnLKgsIQS0j6ngl11hD5t1SZLUwtm0S9LWtG8Phx8e7Sq0gSCAV1fBs8uhvBpG7DyCdxe/w07BPKYdMoheNuySJKkVsGmXJLU4BeUwOQ/+t65ubLf0LCbuciy72axLkqRWxKZdktRiVAfwamE4Xa8I6saHdoCTsyDRnVokSVIrY9MuSWoR8sthUh7Mi0jXM+PDu8LvkhK9uiRJkrYnm3ZJUrNWHcDLhfDccqisSddDwOEd4cRM03VJktS62bRLkpqtpWXhdH1+ad1YdgKMzYG+puuSJKkNsGmXJDU71QHMWAn/WlE/XR/WEU7IhATTdUmS1EbYtEuSmpUlNen6goh0PSchvHa9T3L06pIkSYoGm3ZJUrNQFZGuV0Wk68Mz4PhOEG+6LkmS2iCbdklS1C0uDafri8rqxjrXpOu9TNclSVIbZtMuSYqaymp4cSX8e2V4HTuE0/URGXCs6bokSZJNuyQpOhbVpOuLI9L1LokwLgd6mq5LkiQBNu2SpB2sshpeWAn/iUjXY0JwdAaMzIA403VJkqRaNu2SpB1mQU26viQiXe+aGF673j0penVJkiQ1VzbtkqTtrrI6vCv8jML66fpPMuCYFp6uV1VX8e4P79I5tTM9O/SMdjmKlsoSKM2Hdj0hFIp2NZKkVsSmXZK03awtX8v4mX/grfK+7LHTEfTs0AuAbjXpercWnq4HQcCJj5/Iv775F7GhWJ4f/TzH9D0m2mVpRyv+Gl46GMpWQOdjYOi/INSC/xIlSWpW/I0iSdouKqrhnLf+yePFvVhcWsnL816moqqU4zPhmh4tv2EHWLFuBf/65l9AuIGf/MnkKFekqPjuQShfFf5+6X9g1WdRLUeS1LrYtEtqeRZMg3/3hzdOg6qKaFejTZi3Dm5aAF9VdSdUM1W4unQ+F2UXMrITxLaS2cMdkjrQs0NPYkIxVFPNwJ0GRrskRUPaLhBUQSgWYpMhuUu0K5IktSJOj5fUspQsgbdGh78v+hzmAIc+GdWSVKeiGp5bDi8XQgDslbM3PxQvZPXSx7h2zwEMyOwc7RKbVFxMHG+e+yaTPp5Ejw49OKv/WdEuSdHQ+zyoKoXCT6D3uZCUFe2KJEmtSCgIgiDaRURbcXEx6enpFBUVkZaWFu1yJG3J0ldg1pF1l9P7wUinojYH362DyXmQX1431jMpvHa9S2L06pIkSWqOGtqHmrRLallyhkJSLpTmhS/veV1UyxGUV8Ozy+HVmnQdIC4Ex2fC8I7hXeIlSZK0bWzaJbUsMbFw4mLInwVpu0G7rtGuqE37tiScri+L2FqgdzKMy4Fc03VJkqQfzaZdUssTEwudj9z6cdpuyqrhmWUwa1XdWHwITsiEYabrkiRJTcamXZLUKF+XwJQ8WB6RrvdJDq9dz0mIXl2SJEmtkU27JKlBSqtg+nKYvapuLD4EJ2XB4R1M1yVJkrYHm3ZJ0lb9dy1MzYcVEel632QYmwvZpuuSJEnbjU27FKm0FBYsgD59IM5/HlJpFTy1DN4oqhtLiIGTM2FoBwi1wXR9/qr5rFy3kn1z9yXUFl8ASZK0Q8VEuwCp2Vi6FPr2hd12gwEDoKQk2hVJUfXFWrhhfv2GfZcUuL4HHN6xbTbsT3/5NH3+2of9/7E/4/85PtrlSJKkNsCmXVrvqadg8eLw9598ArNmRbceKUrWVYU3mvvrYiisDI8lxsCZOXBZV8hsw9Ph7/vwPqqDagAe+vghyqvKo1yRJElq7Zz/K623227h/4+NhSAIT5GX2pjP14TXrq+qrBvbLSW8dr1TfPTqai4GdBnAjO9mEBOKYddOuxIf44siSZK2L5t2ab3hw2HaNHjtNTjllLomXmoDSqrgiQKYW1w3lhQDp2bBIeltcyr8ptww9Aa6pnWlYG0BF+x/gWvaJUnSdhcKgiCIdhHRVlxcTHp6OkVFRaSlpUW7HKl1CKqhZDEkdwbTyGbt0zXwcD4URaTre7SDs3Mgw/90kiRJ20VD+1CTdklNr6oUXj4CVsyFdj3hqLchOSfaVWkDa6vg8QJ4Z4N0fVQ2DE4zXZckSWoObNolNb3818INO8Da+bBgGuz2y2hWpA18vBoeKYDiiHS9XzsYkwMdTdclSZKaDZt2SU2vXU/qTk5RDalu6tdcrKmEaQXw3uq6seQYOD0bDjJdlyRJanZs2iU1vfTdYMjzsPAJyB4COx0b7YoEfLgaHs2H1VV1Y3u1h7OyoYPpuiRJUrNk0y5p+9jpJ+EvRd3qSnisAD6ISNdTYuGMbBiYarouSZLUnNm0S1IrFQThRv2xAlgTka7v0x7OzIF0fwNIkiQ1ezFbP0RSm1RYCOeeCyNGwJtvRrsaNVJxJdy7BO5bWtewt4uF8zvDz7rYsEuSJLUUfmyTtGnXXQdTp0J1Nbz9NqxYAXH+yGjugiC8ydy0gvAp3dbbLxVGZ0Oa/wklSZJaFJN2SZu2YkW4AwwCWLMGKiqiXVHU3Dn3Tg647wCue+U6qoPqaJezWUWVcM8SeGBpXcPePhYu6AIXdrFhlyRJaon8CCdp037zm/C0+GXL4JZbIDk52hVFxZxFc7hs5mUAvL/kffbJ3YfT9jwtylXVFwTwTjE8vgxKItL1AanhzeZS/UkvSZLUYvlRTtKm9e8PixeHp8fHxka7mqhZXba63uXisuIoVbJpqyrg4Xz4bG3dWGpseKO5/VKjV5ckSZKahk27pM0Lhdp0ww5wZO8jOav/WTz55ZMM7TmU0f1HR7skIJyuzy2GJwpgXcSM/YFpcHoWtPenuyRJUqsQCoIgiHYR0VZcXEx6ejpFRUWkpaVFuxxJzVhVdRWz5s8iLTGNgTsNjEoNhRUwNR++iEjX0+JgTA7s3T4qJUmSJKmRGtqHuhGdJG3BC9++wJ/n/JlFRYsAOPe5cxk+dTgH3n8gf33nrzu0liCAN1fBDfPrN+wHpcENPW3Y9SME1fDuz2BaIrx0GJQXRbsiSZJUw6ZdkjZj2ufTGPnoSK566SoOuO8ASipKmPb5tNrrH/704R1Wy8oK+MvicMJeWjMdvkMcXLwTnNs5fA52tWAVxbDqc6iu2vqx28Pyd+B/90J1OSx7E+Y9GJ06JEnSRlz1KEmb8ebCN4kNxVIVVJG/Np/5q+YzpMcQXv7+ZSC83n17CwJ4owieWgZlEWvXB6fDaVmQYrPe8hV9BTMHQcUqyDoEhr0KMfE7tob4yF0LA4h3qZgkSc2FTbskbcZpe5zGvR/cCwHsm7svu3TahWfPeJZHPnuEtMQ0Ru05ars+/vLycLL+VUndWIc4ODsH+jkVvvWYPxUqa85SsOxNKPwYOh2wY2vo0A8G3gvfPRD+w0GvcTv28SVJ0ma5ER1uRCdp8+YVzuN/K//Hod0PJTl++56rfkXJCi75zyX8sHoJJx14F9/H7VsvXT8kHU7NgmTT9dZl/mMw50wIxUJMIpzwPSRlR7sqSZK0nTW0DzVpl6Qt6N2xN7079t4hj3XtK9fyxDezqM4ew9xPP+KcvfciJhRLxzgYmwt7tNshZWhH63EGVFdA4YfQ62wbdkmSVI9NuyQ1A0EA31R3pbr7byAUT1V1JdVBwNCOcEomJJmut16hEPQeC4yNdiWSJKkZcvd4SdG1diEsegZKl0W7kqgpKIfbF0FWz0tITcogNiaOI7vtx5Xd4zgrx4ZdkiSpLTNplxQ9RV/Bi/tDVQkkZsPILyApM9pV7TDVAbxaCM8uh4oAOiZ1ZHS/MxnaAU4yXZckSRI27ZKiaemL4YYdoKwAls+BrsdHt6YdJL8cJuXBvHV1Y5nxMC4XdkmJXl3NxoInYP7DkDkI9rgaQk4MkyRJbZNNu6ToyT40vGN2UAVx7SBj/+3+kEEQUFldSXzsDj4Pdo3qAF4uhH/WpOvrHdERTsyERHtTKP4a3joDCOCH5yGlG/QaE+2qJEmSosKmXVL0ZOwPI96FZW9B56MhZaft+nDzCucxbMowFqxawOWDLue2o27bro+3oaVlMDkPvi+tG8tOgLE50Nd0vU5pAbD+LxohWLc0mtVIkiRFlZmOpOjK2A92vRTS+m73h7pz7p0sKlpEQMCf5/6ZRUWLtvtjQjhdf3EF3LSgrmEPAUd2hN/2sGHfSOZg6Hpy+Pv03aH3OVEtR5IkKZpM2iW1GdntsgkICBEiPjae9gntG3S7v7//dx746AEO7X4otw6/lbiYhv/oXFIWXru+ICJdz0kIr13vk9zYZ9BGxMTCYU9DZQnEJodPiSZJktRG2bRLajOuPPhKVq5byVfLv2LCQRPomNxxq7f5LP8zfv7vnwPw/pL32TNrT8bvN36rt6sKYMZK+NeK8PcQTteHZ8DxnSDeeU5bF+cUBEmSJJt2SW1GUlwSdx59Z6Nus6Z8Te33IUKsLl+91dssLg2n64vK6sZya9L13qbrkiRJagSzHknagoO6HsTPBvyMxNhEDutxGOfte95mj62shn8th4kL6xr2EHB0Bvymhw27JEmSGi8UBEGw9cNat+LiYtLT0ykqKiItLS3a5UhqgRbVpOuLI9L1LokwLgd62qxLkiRpAw3tQ50eL0k/QmU1vLAS/rMyvEs8QEwonK6PzIA45zNJkiTpR7Bpl9QifV/4Pb959TfEhGKYOGwi3dK77fAaFpSGz7v+Q0S6vlNieO16j6QdXo4kSZJaIZt2SS3SGU+fwQdLPgBgcfFiZp0za4c9dmV1eFf4GYX10/WfZMAxpuuSJElqQlH9aHnzzTdzwAEHkJqaSnZ2NieeeCJff/11vWOCIOCGG26gS5cuJCcnM3ToUL744ot6x5SVlXHppZeSmZlJu3btOP7441m8ePGOfCqSdrClq5dSFVRRFVSxZM2SHfa489fBTQvqT4fvmgjXdofjMm3YJUmS1LSi+vFy9uzZXHzxxbz99tu89NJLVFZWctRRR7F27draY2699VbuuOMO7r77bt577z1yc3MZPnw4q1fXnXZpwoQJPPPMM0ybNo0333yTNWvWcOyxx1JVVRWNpyVpB/jzUX8mMTaR5Lhkbjnylu3+eBXVMH0Z/GkhLC0Pj8WG4LhOcG0P6OZ0eEmSJG0HzWr3+GXLlpGdnc3s2bM57LDDCIKALl26MGHCBK6++mognKrn5ORwyy23cOGFF1JUVERWVhZTp07l9NNPB2DJkiV069aNF154gREjRmz1cd09XmqZKqoqAIiPjd+ujzNvXXjtel553Vj3pPDO8F1t1iVJkrQNGtqHNquJnEVFRQBkZGQA8P3335OXl8dRRx1Ve0xiYiJDhgxhzpw5AHzwwQdUVFTUO6ZLly7069ev9pgNlZWVUVxcXO9LUssTHxu/XRv2imp4qgBuXVjXsMeF4MRM+HV3G3ZJkiRtf81mI7ogCLjssss45JBD6NevHwB5eXkA5OTk1Ds2JyeHBQsW1B6TkJBAx44dNzpm/e03dPPNN3PjjTc29VOQ1Ip8V5Ou50ek6z2TwjvDd0mMXl2SJElqW5pN0n7JJZfw6aef8thjj210XSgUqnc5CIKNxja0pWOuueYaioqKar8WLVq07YVLO9rnf4TnesGcs6GqbOvHq1HKq+GJArhtYV3DHheCk7Pg6u427JIkSdqxmkXSfumll/LPf/6T119/na5du9aO5+bmAuE0vXPnzrXjBQUFtel7bm4u5eXlFBYW1kvbCwoKGDx48CYfLzExkcREP3lrExYuhA8/hEMOgczMaFezsZUfwKe/CX+/dgFkDYa+P49uTa3ItyXhdH1ZRd1Yr5p0vXNb/JFRthI+/z1UrYM9r4V2PaJdkSRJUpsT1aQ9CAIuueQSpk+fzquvvkqvXr3qXd+rVy9yc3N56aWXasfKy8uZPXt2bUO+//77Ex8fX++YpUuX8vnnn2+2aZc26auvYPfd4aSTYM89YfnyaFe0saB6y5e1TcqqYVo+/HlRXcMeH4JTsuCq7m20YQd490L45m747gF4/aRoVyNJktQmRTVpv/jii3n00Ud57rnnSE1NrV2Dnp6eTnJyMqFQiAkTJjBx4kT69u1L3759mThxIikpKZx55pm1x44fP57LL7+cTp06kZGRwRVXXEH//v058sgjo/n01NK8+CKUlIS/LyiAOXPg+OOjW9OGMgbAntfBd/dD1iHQ+7xoV9TifV0CU/JgeUS63ic5nK7nJESvrmZhzXcQ1Jw6c8330a1FkiSpjYpq037PPfcAMHTo0HrjDz30EOeccw4AV111FevWreOiiy6isLCQAw88kJkzZ5Kamlp7/J133klcXByjRo1i3bp1DBs2jEmTJhEbG7ujnopag0MOgdhYqKqCdu1gv/2iXdHGQiHY+6bwl36U0iqYvhxmr6obiw/BSVlweAeI2fK2GW1Dv9/CW6dDdRXs9YdoVyNJktQmNavztEeL52lXrQ8+gLfegmOOgb59o12NtpOv1sKUfFgRka73TYaxuZDd1tP1DVWsDqftCR2iXYkkSVKr0tA+tFlsRCc1G/vvH/5Sq1RaBU8tgzeK6sYSYuDkTBjaITyRQRuIT936MZIkSdpubNolNWvVQTUxoR+/Z+aXa8Nr1wsr68Z2SYFxOZBpui5JkqRmqtmcp12SIgVBwAXPX0D8H+LZ/x/7s7xk23bzX1cVbtb/sriuYU+MgdHZcFlXG3ZJkiQ1bzbtkpqlD5Z+wH0f3kd1UM3HeR9z3wf3Nfo+Pl8DN8yHtyKmw++WAtf3hKEdnQ4vSZKk5s/p8ZKapQ5JHQgRIiCgOqgmIzmjwbctqYInCmBucd1YUgycmgWHpNusS5IkqeWwaZfULO2csTNTTprCfR/cx0FdD2L8fuMbdLtP18DD+VAUsXZ9j3Zwdg5kxG+nYpvIf5f9l9OfOp2V61by12P+ysm7nxztkiRJkhRlnvINT/kmtQZrq+DxAnhng3R9VDYMTmsZ6fqxjx7Li/97kaqginbx7Vh9zWpCLaFwSZIkNZqnfJP0o3xf+D2pialkpmRGu5St+ng1PFIAxRHper92MCYHOjbzdD1SQmx4V7wQIeJjW1DhkiRJ2m5s2iVt5IqZV3D73NuJj4ln+unTOXaXY6Nd0iatqYRpBfDe6rqx5Jp0fVALSdcj3THiDlaVrmJ5yXJuP+p2U/ZNqSqHz2+E4m9g10sh+7BoVyRJkrRdOT0ep8dL660pX8Oqdavo8ZceVAfVhAgxrPcwXjr7pWiXtpEPV8Oj+bC6qm5sr/ZwVjZ0MKRuvb6YCJ/8BghBbCKcnAfx/tyWJEktj9PjJTXKWwvfYsTDI1hbsZYOSR1YXbaa6qCaPbP2jHZp9ayuhMcK4IOIdD0lFs7IhoGpLS9dVyOVLIZQDARVULUOyots2iVJUqtm0y4JgL+88xfWVa4DYFXpKi4+4GK6pHbhskGXRbmysCAIN+qPFcCaiHR97/ZwVg6k+9OsbdjlF7BoOpTmQ9+LoF23aFckSZK0XfkxVxIAfTr2ASA2FEtGcgZ3HX0XcTHN40dEcWV4KvxHa+rG2sXC6GwY0EzT9X998y8ufuFiOiR14LFTHmOPrD2iXVLrkL4bnLgYqkpM2CVJUpvQPD6RS4q6G4beQFJcEj+s/oFfHvjLZtGwBwG8X5Our41I1/dtD2fmQFr0S9yss585m1Wlq1hcvJjLZlzGi2NejHZJrUdMHMTYsEuSpLahGX/klbQjJcYlcv3Q66NdRq2iSngkHz6JSNfb16Tr+zfTdD1SbCiWUM3/msMfQCRJktQy+UlSUrMSBPBOMTy+DEoi0vUBqeHN5lJbyE+taadO41cv/ooOSR246+i7ol2OJEmSWihP+YanfJOai1UV8EgBfBqRrqfGhqfC75cavbokSZKkpuYp3yS1GEEAc4vhyQ3S9YFpcHoWtPcnlSRJktooPwpLiqrCCng4Hz5fWzeWFgdnZcM+puuSJElq42KiXYCktikI4K0iuGF+/Yb9oDS4oWfzadiDIODKmVfS9Y6unPvcuVRUVUS7JEmSJLUhJu2SdriVFTA1H76MaNY7xMFZObBX++jVtSmvzX+NP8/9MwCTPp7EET2P4Oy9z45yVZIkSWorbNol7TBBAG8UwdPLoLS6bnxwOpyWBSmx0atNkiRJao5s2iXtECsqYEoefFVSN9YhDs7OgX7NLF2PNLTnUK4cfCWPfvYow/sM54x+Z0S7JEmSJLUhnvINT/kmbU9BALNXwfTlUBaRrh9ck64nm65LkiSpDfKUb5Kibnk5TM6HbyLS9Y5xcHYu7NkuenU1xPxV87lx9o0kxiby+8N/T3a77GiXJEmSpDbIpl1SkwsCeG1VOF0vj0jXD02HU7MgqQWk6yc/fjKf5n8KwA+rf+D50c9HuSJJkiS1RTbtkppUQXl47fq36+rGOsWH167v3szT9UiLihdRFVQBsHDVwihXI0mSpLbK87RLahLVAby8En4/v37DPrQD/K5Hy2rYAf407E/EhmJrp8dLkiRJ0eBGdLgRnVqWp798moc/e5hBXQdx5eArCYVC0S6J/HKYnAffRTTrmfEwNhd2TYleXT/W2vK1xIRiSI5PjnYpkiRJamXciE5qhb5e/jWnPXkaAM9+9Szd0roxuv/oqNVTHcDLhfDP5VAR8ee/wzvASVmQ2MLn8rRLaGHTAyRJktTq2LRLLUj+2nwCwt1xiBA/rP4harUsLYMp+TAvIl3PiodxudC3BafrkiRJUnPSwnMwaQuWvw3P9oCns2DxP6NdTT0LVi3g7GfOZuwzY1lUtKjBtxvcbTDH73o8ALtm7srYvcdurxI3qzqAGSvhpgV1DXsIGNYRftfThl2SJElqSq5pxzXtrdaMg2DFe0A1JOXAyXnRrqjW4AcG8+4P7wJwcPeDmX3O7EbdfnXZatontN/h69mXlIXXrs8vrRvLToBzcqGPy74lSZKkBmtoH2rSrtYrrj2EQkAMxDavtclLVi+hKqiiKqjijQVvcMubtzTq9qmJqTu0Ya8K4IUV8McFdQ17CDgqI7wzvA27JEmStH3YtKv1Gngv5BwBWYPhkMejXU09tw6/lZhQ+J9fQMCvX/k1S1cvjXJVm7a4FP60EJ5bDpU183JyE+Cq7nBKFsT7U0SSJEnabtyITq1Xah84Yma0q9ikUXuO4sOlH3LbnNuoDqqJDcWSEJsQ7bLqqQrgPyvghZXh76EuXT+uk826JEmStCPYtEtRct2h1/HD6h/477L/cvXBV9MppVO0S6q1qDS8dn1RWd1Y55q16z2dCi9JkiTtMDbtUpSkJqYy5cQpVFRXNJuUvbIa/rMynK5X16TrMSEY0RGO7QRxpuuSJEnSDuVHcClKvlv5Hb3+0oukm5K4cuaV0S6HhaUwcSH8a0Vdw94lEX7dHU7MsmGXJEmSosGP4WqbPv8jPJ39/9u77/CoqvyP4+876b2TQkJHOggE6VIFASk2UFjFXhYVfuiKrquCBSxgRXGtiOJiBUVBBKQKCKH33gIpkJDeZ+7vj4FJQi8JE8jnxZPnuffcc8/9znDW5Ztz7jmw4EYoSHNKCO+seIf4jHhMTMYvH098RrxT4iiy2ReZG3cADh2fDm8x7CPrz1WD6p5OCUvKW0E67P0Kjvzl7EhERERE5Cw0PV4qn4ztsOE/9uOEubBjIjT+z2UPI8wnDJtpw8DAzcUNX3ffyx7Dvlz4Msm+//oJ0R72d9djlKxfvWxF8EdbyNhqP2//LVQf6NyYREREROS0lLRL5WO4nv38MvlXu3+RlpfGtqPbGNFmBIGegZft2YU2mJkCf6TC8ZnwWG2F9AmBvqFumgp/tcs9VJywY4GE2UraRURERCooJe1S+fjVhtiJsP1dCGoJ9R53Shhebl681fOty/7cPbn2leETC4rLDiQvYc5fQ5hmS2XmnTPpUrPLZY9LLiOvqhDQGNI3ATaI6uPsiERERETkDAzTNM1zV7u6ZWRkEBAQQHp6Ov7+/s4OR6RcFNrglxSYW2J03cWA3sE2bpnkQ6EtDwODrjW7Mu/ueU6NVS6Dwgw49Bv41oLQ1s6ORkRERKTSOd88VCPtUjmZNoj/BWz5EHMLWNycHVG52n18dD2pxOh6dU/7u+uR7gaRflU4lHEIE5OYgBjnBSqXj5s/1LjT2VGIiIiIyDkoaZfKad0zsPVN+3H1O6H9N86Np5wUHF8Zfv6x4tF1VwP6hkCPYPsq8WAwe8hsxi4ZS7BXMC91ecmJEYuIiIiISElK2qVyOjSz+PjwLOfFUY525sCUJEguMbpe0xOGRkCkR+m6DcMa8vUtX1/eAOVUpgkJv0NuAlS7zT4aLiIiIiKVmtaIlsop5rbi4+ibnRdHOci3wbQkmHDQnrAfyTnC1xsm8+W8flRJnXxKwi4VyI4PYGFv+Pt+mN/VnsSLiIiISKWmkXapnJq+BFU6gjXvqlo5e0eO/d31o4XFZZv2/0zurucxCxJ5bNY87r12KIZhOC9IObPEucXHqauhKAvc/JwXj4iIiIg4nZJ2qZwMAyJ7ODuKMpNvg5+OwMK04jI3AwaEQtrG+ewpPIJpWPDzUAJYocXcDId+sR9X6QKuvs6NR0REREScTkm7iBPlFuaSmptKlF/URY9+b8u2v7ueUmJ0vY6X/d31Ku7Q+Ma3MU0rKbkpjO06VqPsFVmte8C/gf2d9qgb7b9cEhEREZFKTfu0o33axTk2JG2g0+ROpOWl8Y8m/2DKzVMuKKHOs8IPR0ze376O3am7iQmoRvvoVtwSZtAlsBLke6bNvs+4WQhV+4FFv4MUERERkSvH+eahWohOxEkmrZpEZn4mAF9v/Jr96fvP+94t2TB6H3wXn8DKQytJyU1h3d5vaVHwK12DrsCEPWsfbBgNe78+/8XX1j4Ni/vBklvh74fKMTgREREREefR0JTISUYvHM34ZeNpVKURM++cSRWfKuXynNrBtbGZNlwMF7zcvAjxCjnnPblW+P4I/JVuPy+0FYEtH47+BOmLcI1tVi6xlitrPvzRFvKSARsUZsA1/zz3ffE/Fx8f+vnM9URERERErmBK2kVK2HNsD2MWjQFg5aGV1HinBl/f8jW3NLilzJ81os0IbKaN7Ue382irR8+5SNymLPg6CY4VFZd1j4jG9/BWftu/khvq9WNgo4FlHme5y0uCvET7sWGB1Ljzuy+6P2ybYD+u2r98YhMRERERcTK9047eaa8QTnRDJ8/rPpx5mJi3Y7CZNkdZkGcQqaNSnRZTzvHR9WXpxWUeFrgtDDoGOP0ru3SmCQt62rc7s7hBlz8gvPN53GeDw7PAVqB32kVERETkinO+eaj+lSvOt/sziHsc3AKg00wIiXVaKFF+UXw54EuGzRpGRn4GBgZebl5Oi2dDFkxNgrQSo+sNvOGuCAhxc1pYZcswoPMs+77k3tHgXfU877NA1ZvKNzYRERERESdT0i7OZdpg1WNgy7O/27z+Oeg6x6khpeam4uXqhbvFnRqBNXiv13uXPYZsK3yXDCsyiss8LXB7GLS/GkbXT2ZxhdDWzo5CRERERKTCUdIuTmaAmz/kF9gzUfdgp0azP20/w38fDoDFsPBo3UdpG9P2ssaw/vi76xklRtcb+cBd4RB0kaPrydnJfLjqQwI9A3k09lE8XD3KJlgRERERESlXStrFuQzDPiV+w3PgHgot33FyOKWHsA0u35B2VhFMS4ZVmcVlXhYYWAXa+l/a6Hqvqb1Yn7gem2ljz7E9Tpk9ICIiIiIiF05Juzhf6HXQda6zowCgWkA13u/1PuOXjadJeBNGth15WZ67NtP+7nqmtbisiQ/8IxwCy+Dd9Q1JG7Ca9sZXH1596Q2eRl5RHhOWTeBIzhGGtx5OzaCa5fIcEREREZHKRKvHo9XjpXzN2zOPT9Z8QrPwZoxqPwoXi4vjWubx0fW4EqPr3i4wKAxaX+Loekkjfh/Bu3+/i8Ww8NXNXzG4yeCyabiEkXNG8s6Kd7AYFqoFVGP3E7tPmblQ6aWnw/PPw9Gj8Oyz0KSJsyMSERERESfR6vEiFUBSVhK9p/bGarPy3ebvCPIM4tFWjwKwOhO+SYKsEqPrzXxhSDgElPH/Mt/u+TYPtHgAP3c/qgdWL9vGj9t6ZCsAVtPKvrR9FNmKcHO5Wpa4LyNPPQWff24/XrQI4uOvwlUFRURERKQsWZwdQKWwcCFMmAB79jg7EjmHbUe3MWX9FA5lHCqT9pKzkym0FWLDhovhwoH0A2QUwX8Pw8eHixN2Hxe4PxIejSr7hB3s7+o3rtK43BJ2gCdaP4Hr8b3SR7QZoYT9dA4etO9Lb7NBcjJYree+R0REREQqNU2Pp5ynx8+dCz162I8DA2HXLggJKdtnXOU2JG3gszWf0SCsAQ+1fAiLcWG/a5q/Zz5jl4ylemB13u75NgGeAaetty5xHdd9ch2FtkKCvYLZOmwrVXyqXFLspmky+MfBTNs8jSi/qnww6G8W51Ylu0Su1twXBoeD/1Uw7yUlJ4XMgkxqBNZwdigV05Il0KcPZGfDuHHw9NPOjkhEREREnETT4yuKJUvAYrGPrKWlwbZt0L69s6O6YmTkZ9Dxi45kF2RjNa2YpumYXn4+cgtz6T+tPzmFORiGgb+HP+/c+M5p687bM49CWyFg36s97nAcvev2vqT4DcPgf7f9j3E9P+DX9ABmZxW/z+7rAndWgZZ+V88M6RDvEEK89UupM+rY0f4+e0EB+Po6OxoRERERuQJoenx5GzAA3I5PE65TB6691pnRXHESsxLJyM/AalpxMVzYfGTzBd1fYC0gpzAHExMDg2N5x85Yt3ut7rhZ7H9XwZ7BxEbFXlLsYJ8J/XcGvJsUzMbs4oQ91g9G14DYMlxsTq4Q7u5K2EVERETkvClpL28tWsD27TBrFqxZAz4+zo7oilI3uC596vYBwMvNi/ub339B9wd4BvB699dxs7gRExDDsx2ePWPdayOuZd0j65jcfzLrH11/yVPj0wrhw8PweQLkHJ8O7+cCD0fBg1Hgp3kuIiIiIiJyDnqnHW35VtHZTBs7UnYQ6Rt5xvfRz8U0zcu2/ZhpwooM+O5IcbIO0MoP7qgCvpU5WU9dC1l7IOpGcNUvsERERESk8tI77XLVsBgW6ofWv6Q2LlfCfqwQvk6CTdnFZf6uMKQKXOt3WUKouOJ/hsU3AyYENoMbV0OJPetFRERERORUStpFyoBpwrIM+C4Z8mzF5a39YVAV+5ZulV78z4ABmJC2HnIOgm8NJwclIiIiIlKxKWmXK1JiViJjFo7BZtp4odMLVPWv6rRYUgvhqyRYlZbNusR1uBquXB/djAeqetK0DNcbyynMwWJY8HT1LLtGL6eIG2DPF/Zjv7rg7by/MxERERGRK4WSdrki3fXTXSzYtwCALUe3sOTeJZc9BtOEpenwwxH76PqcXXNIyT0KGcupnVpE03pfldmzPl/7OQ//+jCuFle+u+07+tbrW2ZtXzY17gSvSMjcBTE3w/GV+sk7AjnxENhU0+VFRERERE6ipF2uSPvS92E17au87Uvbd173bD2ylU3Jm+heqztBXkGX9PyUQpiSCNtyissycg5gHvoUcjaz22x2Se2fbNS8URTZiiiyFfH8guevzKQdILyz/eeEoytgflew5tpH4rvM0R54IiIiIiIlaMs3uSK91Pkl3CxuuBguvNLllXPW/+vAXzT9qCkDfxhIi49bkF2Qfc57Tsc0YVEajNlXOmFvHwAv1bBAzmZcLa78u+O/L6r9M4n2i8bFcMHFcCHaP7pM23aqPV+CrcB+nDgXsnY7Nx4RERERkQpGI+1yRbqzyZ30rdcX0zTx8zj3suy/7vgVm2lfIW5f2j42JW+idXTrC3rm0QL4Mgl2lEjWg1zhrgho5ANEPMG9ze7A1eJKsFfwBbV9Lj8O+pHRC0fj6erJy11eLtO2nSroWjCtYLiAW6B9+ryIiIiIiDhon3a0T3tlMG/PPHp81QMTkyo+Vdj5+E78Pc7v79o0YWEa/HQUCkqsDN8xAG4LA0+9hn3xTBP2ToGMrVDrXvCv5+yIREREREQui/PNQ506PX7x4sX07duXqKgoDMNgxowZpa6bpsno0aOJiorCy8uLzp07s3nz5lJ18vPzefzxxwkNDcXHx4d+/foRHx9/GT+FXAm61+rO8vuX81Gfj1j78NrTJux5RXlk5meWKksugAkHYVpyccIe4gYjouEfEUrYL5lhQK2hcO1rSthFLsaxY1BU5OwoREREpBw5NWnPzs6mWbNmTJw48bTX33jjDd566y0mTpzIqlWriIiI4IYbbiAzszixGjFiBNOnT2fatGksXbqUrKwsbrrpJqxW6+X6GHKFaB3dmodjHybKL+qUa3N3zyXkjRACXw/k7eVvYzNh/jF4aR/szC2u1zkQXqgODXwuW9giIqcyTbj3XggOhpgY2LnT2RGJiIhIOakw0+MNw2D69OkMGDAAsI+yR0VFMWLECEaNGgXYR9XDw8N5/fXXefjhh0lPTycsLIyvvvqKQYMGAXD48GFiYmKYNWsWPXv2PK9na3r8SWxF8Pf9EP8zVL0J2kwGy9W9/MH1X1zP0gNLMTHx8KrGS3fsZ3eJZD3UDe6OgHrezotRRMRh50645hr7sYsLPP44vP22c2MSERGRC3JFTI8/m71795KYmEiPHj0cZR4eHnTq1Illy5YBsHr1agoLC0vViYqKonHjxo46p5Ofn09GRkapHynh0K/294wL02HfVIif4eyIyl31gOoYhguWoJ541n6lVMLeJRBeqKGEXUQqkOBg8PAAiwVsNvtou4iIiFyVKuzwaWJiIgDh4eGlysPDw9m/f7+jjru7O0FBQafUOXH/6YwbN44xY8aUccRXEReP0ucWj9PXu4r8u9v77PG7nSM2X1pEtgAgzA2GRkBdJesiUtGEhMDvv8OkSdCwITzxhLMjEhERkXJSYZP2EwzDKHVumuYpZSc7V51nn32WkSNHOs4zMjKI0ShFscgboeGzED8dovtD1T7Ojqjc2EyYewx+ORpI42r9ADCArkEwIBTcK+xcFBGp9Dp3tv+IiIjIVa3CJu0RERGAfTQ9MrJ47+bk5GTH6HtERAQFBQUcO3as1Gh7cnIy7dq1O2PbHh4eeHhc/aPHF80w4Nqx9p+r2OF8+DIR9uUVl1Vxh3sioLaX8+ISERERERE5ocKOI9asWZOIiAjmzp3rKCsoKGDRokWOhLxly5a4ubmVqpOQkMCmTZvOmrRL5WYzYXYKvLq/OGE3gBuC7CvDK2EXEREREZGKwqkj7VlZWezatctxvnfvXtatW0dwcDDVqlVjxIgRjB07lrp161K3bl3Gjh2Lt7c3gwcPBiAgIID777+fJ598kpCQEIKDg3nqqado0qQJ3bt3d9bHqvgyd8GGF+zvrjcbC16R576nHMVnxPPe3+8R7BXMiDYj8HT1LL9n5cGXSXCgxOh6hLv93fVaStZFRERERKSCcWrSHhcXR5cuXRznJ94zHzp0KJMnT+bpp58mNzeXf/7znxw7dozWrVvzxx9/4Ofn57jn7bffxtXVlYEDB5Kbm0u3bt2YPHkyLi4ul/3zXDGW3Arpm+3HuYnQZbZTw+n5dU+2H92OzbRxKPMQ7/d6v8yfYTXh91T4LcV+DPbR9R7B0DcE3C5yzsnqw6uZvm067WPa06turzKLV0REREREBCrQPu3OVOn2af8xHPKTAQMCm0LvdZf18UW2IubsmkOgZyBtY9ri/rI7VtMKQKfqnVh4z8Iyfd7BPPu76wfzi8sij7+7XuMSRtcPpB/gmvevodBWiM20Mf/u+XSt2fXSAxYRERERkaveFb9Pu5SjFuPB4g4uXvbp8ZfZ4B8Hc9P/bqLDFx147+/3+L82/weAi+HCiDYjyuw5RTaYeRTGHihO2C0G9AqG/1S/tIQdYOuRreRb87GZNgwMVh9efelBi4iIiIiIlKCRdirhSDuANR8MC1jcLvujXV9ydYyst41uy7L7l7E7dTe+7r6E+4aXyTMOHB9djy8xuh7lYR9dr15Gr8xnFWTR8uOW7EjZQaBnIHEPxlE7uHbZNC4iIiIiIle1881DK+yWb1LOXJy35V3Xml2Zu8e+4n/P2j0ByizZLbLBb6n299dtx38ddWJ0vXcwuJbh3BJfd1/WPbyOtYlrqR9an2Cv4LJrXEREREREBI20A5V0pN2Jcgpz+HbTtwR6BjKg/gAMwyiTdvfl2leGP1xidD36+Oh6TPktSC8iIiIiInLBNNIuFZa3mzf3Nr+3zNortMGvKTAnFYp/A2XDLe0PzLw1eIQ9AFQps+eJyGkUFICrK1i0VIqIiIhIWdK/ruSyO5Z7jDf/epNPVn9Cka3oktramwuv7rdPhz+RsMd4gOehCXzwey/GLHqeblO6XXrQVzprARz4ERLngSbXSFl7803w9oaICFizxtnRiIiIiFxVNNIul13vb3qz8tBKbKaN7SnbGd9j/AW3UWiDX1JgbioUmUUcTD+In7s391ULp2cw9F4yDwCbaWNT8iYKrYW4uVz+RfcqjKUD4dDP9uNrX4eGTzs3Hrl65OXBM8+AzQYpKTB2LPzwg7OjEhEREblqaKT9apGbBDmHnB3FeYk7HIfNtAGw/ODyC75/dy68vB/+SAUbJrN3zuaPLZ/w4+/NST44GRcD7m9xPxbD3r2HNhtaYRP29Lx0juYcLf8HHf61+PjgjPJ/nlQebm4QEFA8Lb6KXkURERERKUtK2isiWyHsnARb3oCCtHPX3zMFpkfBjGjYeuGj1pfbfdfe5zh+oMUD531fgQ2+T4Y3D0BSgb3MtBVyeO8HcOA1KEhg+tbpAAxsNJAdj+1g5QMr+bz/52Uaf1mZsW0GYW+GEfZmGBOWTSjfh0XeWHwc3bd8nyWVi4sLzJ4NN90EDz4I48Y5OyIRERGRq4pWj6cCrh4f9wTseB+wQFh7uGHx2ev/2ggyttiP3UPgtsswcnsJTNNk5aGV+Hv40yCswXndszMHpiRBckFxWQ1PGBpu0m9KK1YnrAbg/V7v89h1j11QPIXWQlYnrKZ6QHUi/SIv6N5Lcd0n17Hq8CrAvn1c5rOZ5fcwa559hN09wJ7Al9GK/SIiIiIicnG0evyV7OiJKeM2SFl17voBjSBjmz0R869frqGVBcMwaB3d+rzq5ttgxlFYcKx4oTlXA/qHQvcgsBgGfw79kx+2/ECUX5Rj3/fzZbVZ6TalG0sOLMHT1ZMFQxfQJrrNBX6ii1MnuA6rE1ZjYFArqFb5PszFE2rcUb7PEBERERGRMqekvSKq8xCsjDt+fB7Tx9t8Cv71wJYPDZ4itzAXD1cPxzvdZSGvKI+n5z7N5iObeazVY7haXPFy86JbzW5lts/6yXbkwJeJcLSwuKyWFwwNhwiP4jJ/D3/ua37fqQ2ch52pO1lyYAlgH3H/esPXly1pn9RnElX9qpJdmM0zHZ65LM8UEREREZEri5L2iqjOgxDWEYqyILjlueu7+UOzlzFNk2GzhjEpbhLVA6qz8J6F1AisUSYhvbX8LSaunAjAgr0LMI+Pe4/pPIYXOr1QJs84Id8GPx2BhWnFZW4GDAiFrkFgKcPfEUT7RxPiFcKxvGNYTSuxUbFl1/g5BHgG8GaPNy/b80RERERE5MqjhegqqoD6EBJ7Qe8e70rdxaS4SQDEZ8Q7kuyykJKTgsWwYB7/c8L3W74vs2cAbMuGMftKJ+x1vOCFGtA9uGwTdrC/S778/uU81/E5/nfr/xjabGjZPkBEREREROQSaKT9KhLoGYibxY0iWxE200aEb0SZtT28zXB+2/kbO1N3UieoDjtSdwBwU92byqT9PCv8eBQWpxWXuRlwSxh0CSzfddPqhtTlpS4vld8DziVzF2ydAB6h0OhZcPUu+2ekbbTvRuAZDk1Gg5tv2T9DRERERETKnJL2q0iYTxgz75zJxFUTaRzWmCdaP1FmbVcLqMaMO2bw8eqPifCNINI3Ej8PP/rV63fJbW/Ntq8Mn1ri3fVrvOHucAhzv+TmKzbThD9vgJyD9uOCY9Cq7GZI2J9hsz8j74j93JYPse+X7TNERERERKRcKGl3FtOEgz9C+maoMQT86py+Ts5B++ioi8ep10+jZ52e9KxzYSuon4+3l7/NyD9GAmBg8EyHZxjbbexp6yZlJTF++XiWHliKj5sPo9qP4obaN5xSL9cKPxyBpenFZR4WuCUUOgWee3R9TcIaCqwFtK7autwWwyt3phVyDtgTawzI3FH2z7AVHk/Yjz8je3/ZP0NERERERMqFknZn2TcVlt8FWGD7e9B/H7j5FV+3FcGCGyFpPnhFQo/l4FPdKaGapsmoeaOKzzHZkLThjPX7fNOHNQlrHO++/3XwL5KfSsbPo/jzbc6GrxLhWFHxffWOj66HnmZ0ffvR7QyYNoDErETe7PEmqbmpjpiebPsk43uMv8RP6SQWV2j4b9j8CljcocFTZf8MFw9o8iJsfBFcfaHhqHPfIyIiIiIiFYJhmqZ57mpXt/Pd1L5MxQ2HnR/YR1oBem+CwEbF148sg7ntj59Y7O8hN3m+3MNauG8ht39/O4XWQr7o/wU3N7gZgGpvV+NgxkHAPtI+886ZFNoK2XZ0G4ObDKZaQDVHG16vepFXlFeq3cQnEwn3DSfHCt8fgWUnja7fFgYdA848un7nD3fy/ZbvsZpWXC2u1Aiswa7UXQAEewWT8nRKGX4LTpCbaH+X3a0c+19Bun2/9vOctSEiIiIiIuXnfPNQrR7vLDUGg3F8okNIW/CvX/q6dwwYbmC4ALbTT5+/BKm5qczZNYfk7GQAMvMz+XPvnzwx+wlSclJIz09n2KxhjvqzhsxiYMOB3NH4DrYO20pKbgo3f3sz/57/b1p/2prcwlxH3f9r83+OYwOD/3T8D+G+4WzMsq8MXzJhb+ANL9aA6wPPPh3ex93H0Z6HiwedqndynLePaX/mG68UXhHlm7ADuAcoYRcRERERucJopB0njbQD5ByG7L0Q3ApcTjMnPGkB7J0CIa2hzsNltoR6cnYyTSc1JSk7iUDPQBbfs5i+/+vL/vT9uBgujmnt9ULqsWXYltO28eivj/LJmk+wHp8psOOxHdQNqeu4vjNlJ16uXkT4RZBvuvJdMqzIKL7f0wK3h0H7s4yul7Tj6A66f9Wd9Px0Xrj+BR5v/TiT102mwFrAfc3vw9utHFZcFxERERERKSfnm4fqnXZn8oqAhNmQOA9qPwDeVUtfD+9i/yljC/ctJCk7CYC0vDQ+ivuI/en2xcmsppWGoQ2p6l+VCT0mAPZR+XdWvIO7izsj2ozA192XOxrfwWdrP8NqWmkb3ZZaQbVKPeNEAr8+C75OgowS76438oG7wiHI7fxjfmvFWxzKPIRpmry0+CWGtxnOQy0fuoRvQUREREREpOJT0u5MW16H9f8GLLDnS+i3C4xzv7GQmpvKK4tfIbcwl393/DcxATEX9NgWkS3wcPGgwFqAxbDQu25vPlnzCYU2+55rE3pM4Ma6Nzrq3/7d7SzcvxCATcmbmHbbNDrV6MSOx3ew99he2sW0w8XiUuoZ2VaYlgwrS4yue1lgYBVo63/+kwYOph/kr4N/EZ8Rj2mamJhkFWRRZCvC1aLuKyIiIiIiVzdlPc6UGgcYgM0+Tb4w0/7e8Tk8NPMhZmybAcDKwytZ/dBqcgtzee/v98gpzOHx1o8T6h16xvvrBNfh7wf+5vddv9O5RmdqBdVyTHO3GBYW7l9YKmnfkLwBm2kDYF3iOkd5jcAa1AiscUr7azNhahJkWovLmvjAP8Lh0LHNNJ40kGO5x3i/1/vc2vDWUvduTNrIov2L6FazG95u3jSZ1ITMgkw8XDwc0/Y7VuuIp6vnOb8nERERERGRK52SdmeqdS/E/2xfQT7m9vNK2AF2p+52JNl7ju0BYNisYXy5/ksMDObtncdf9/111jaaRTSjWUQzABbvX+xIyg0MCqwFpeo+2fZJnp3/LAAj2448Y5uZRfbR9bjM4jJvFxgUBq2Pj64Pmfs0245uw2baGDpjKAPqD+BIzhHCvMPYnrKdlh+3pNBWiKerJy93fpnMAntj+dZ8R5uL9i8iryjPkbgXWgtZn7SeGoE1zvrLiiteziH4+wHIPwLXvgYR3Z0dkYiIiIiIlDOtHu9MVW+Cfnug5yroMO20VXILc5m1cxZbj2x1lP3n+v/gZnHDwOClzi8BsDZhLTbThtW0sjFpIwCfr/2c6Lei6fhFRw5nHj5t+7tTd9Pz656O8/oh9Sm0FvJR3EdYbfZfDDzT4Rl2P7Gb/SP2n/E98tWZ9pXhSybszXxhdA1oU2KxOXdXd4zjf9xd3Gn3WTsiJ0TS7KNmzNszzzFFP68oDxeLC16uXgC4GC4YGLgYLsT4x+BxfBX0IlsRnSZ3otUnrajxTg3WJ64/yxd+hVv7L0icC6lrYMmtcPwXLSIiIiIicvXSSLuz+VSz/5yG1Wal0+ROrDq8CothYeadM+ldtze3NryV3VV3M/CHgTz5x5NsOrKJx697nAdmPoCJyYg2I0jPS+fBmQ9iM20kZiXyyuJX+LDPh6c8Y9XhVaX2VI/PjGdS3CSsppWM/Ayebv80wCkLzZ2QWQTfJMOaEsm6jwvcUQVa+Z367vo7Pd8hIy+D1NxUBtQfwOhFowHYfGQzuYW5+Ln7kVmQSZBnEAMbDaTPNX1YuG8hbaPb8sv2X0jKTmJ46+EYxxvemLSR5fHLAXuiP3XjVMcMAqfIOQyZ2+0r/ruW8Yr21lzAtP9Y88E07W9XiIiIiIjIVUtJewV2MOMgqw6vcpz/sOUHetft7Tj+O/5vTEw+Xv0x9zS7h73D95JXlEe90Hpk5GdgMSyOae+WMyxw16l6J0K8QkjJTcHX3Zf0/HRH/R+3/Mjm5M38q/2/aFylcan7TNM+qv6/ZPuicyc094XB4eB/hp5VPbA684fOB2D14dWMXjQaCxZs2GgZ1ZKn2z/N1I1T6XtNX6L8ojAMg2tCrgGgSXiT07bn5+5HTmEOVtNK84jm5/HNlpNjG+CPtmDNAf8GcONqOD5ToEw0GwsZ2+3T41u8Ayct/iciIiIiIlcfJe0VWJRfFDUCa7AvbR8200bnGp0d1/w9/B0LswH4efhRPbB6qeuT+09m9KLR1AqsxQudXjjtMyL9Itn8z82siF9BbFQsI+aM4IctPwD2Re5WHl7J1I1TSXoqiRDvEMC+fdvUJFiXVdyOrwvcWQXMzDjGLfyRDtU60OeaPmf9fC2jWvLtbd8yY9sMbqh1A95u3jy/4HkAth3dRtvottzc4OazthHsFcyy+5cxdYN9hH1Qo0FnrV+uDv4I1uOzFjK2wrE1ENa+7NoPaAA3bSm79kREREREpMIzTNM0z13t6na+m9o7Q1JWEt9t/o46wXXoVbeXo7zIVsQz855h6YGl3N/8fh5s+eBp788ryuPv+L+pHVybaP/ocz7PZtrYnLyZwT8OZtORTY7y7277jtsa3s7KTPticzklRtdb+tkT9tSs/dSbWI9CWyE208bcu+bSvdb5LZaWnpfOn3v/5JbvbnGUfdbvM+5rft953V8hHJ4NC3sDBrj6Qr/d4Bnm7KhERERERKQCOt88VCPtl9Efu/9g/p759K3Xlw7VOpzXPeG+4Tze+vFTyl0trozvMf6s9xZaC+nweQdWJ6zGw8WDhfcspE10m7PeYzEsNAlvwt3N7ubpefb32d0sblxXvQcfHoa/03JxtbjiZnHDz8U+Fb6Fn/3eZUe3OVZ5NzBYm7D2vJL215e+zrPzn8XT1ZOO1Try18G/6FS9k3NHzS9GVC/o/Lt9K7+YW5Wwi4iIiIjIJVPSfpksP7icG7+2733+xrI3aBjakFlDZpWa0l7Wth3dxuqE1YB9ZP7bTd+eM2k/4V/t/0WtoFosPrCETk1G8U5iAAsP/M26xHW4WlwZ0agDLzaoh2+JHtS+Wnvqh9Zn29FtBHkGnbIH++nYTBvPL3geE5O8ojzcLG4UPV/kWGjuihPV0/4jIiIiIiJSBrTl22WyPmk95vE/YE+oX1788mnrmqbJbzt+Y9qmaeQX5Z+2zplsObKFUXNHMWX9FKoHVCfEKwSLYcFqWtmRsoPrv7iebzZ+c9pnfr3ha56e+7Rjy7iudW+lTuN3mJMVSWZREesS14M1g6JDE/lidnssZk6pNnzdfVn78Fr+fuBvdj2x64wrzpdkMSxU9a9q39LNMKgRVOPKTdhFRERERETKmEbaL5N+9frxwoIXOJJzxFF2Yq/xk7206CXHVmgD6g1g+h3Tz+sZGfkZtPusHVkFWVhNK5/1+4y/H/ibaZumcSD9AJ+s+QQTkyUHlpBTmMMDLR5w3Dt141Tumn4XLoYLk+I+4rv74/k93Z+841uBWwwXvPM2knPoc7DlkIJ9Bfu7m91dKgZPV0+uq3rd+X8xwOwhs3lt6WsEewUzuvPoC7q3zNisED8DbAVQ7TawuDknDhERERERkRI00n6ZeLl6EeIV4jjuWafnGRPUmTtmOo5n75p93s+Iz4gnPT8dq2lfJe65+c+RlpfGc9c/R7R/dKkR7AdnPsisnbMc5+sS12HBgtXFn6ywe/jscKEjYU/J3M0Pc7vifuRrsBWProd6h553bGdTP7Q+kwdM5q2eb+Hv4aSFANc+CUtvg2WDYcW9zolBRERERETkJEraL5MftvzAtpRtAOQW5fJQy4cI8zn9QmW3NCheQb1fvX7n/Yx6IfXoUqOL4zwpO4k7frwD0zR5JPYRagfVLlV/9eHVjuMOMR2xBbSH6i/iHdCKIM8gANr6w4qlvTiWspD0vHSi/aLpUqMLb3R/g151enHVODyrxPH5/6JERERERESkPGl6/GVSI7AGABYs2LBRLaDaGes+2+FZWkW1IrMgkx61evDH7j+oEViDa0KuKVXvQPoB/jrwF8nZybSIbEHH6h2Ze9dcGn3YiB0pOzAx2ZW6i37/68eMO2Ywe8hs6rxfx3G/j7sPACmFMP5AIUb4PzBNk5zCHFxtWfyzmj9NfOF1VxcshgUDg5pBNflz6J9l/wU5W7XbYfNY+3HMuRfQExERERERuRy0TzuXb5/2z9d+zrw98xhQfwADGw08Z32baaPj5x1ZFr8Mi2Fh1uBZ9KxjX5l8Y9JGrvv0OvKK8hz1fxz4I7c0uIVlB5fR55s+pOWlOa490PwBPlv7mWMhPIth4f/ajKTvdW/y4xFYfmgNcYfjAHDL+pv9Q94i0icAsE+dHz57OO6u7nzQ+wMOZx7m4ZkP4+nmyZQBU2gW0aysviLnMU1InGd/pz3yRrC4ODsiERERERG5ip1vHqqknUtP2k3T5Pddv5OUncRtDW/D1923TOLal7aPmu/WBMDFcOHuZnfzef/PAXh18auOrdLAPoL/UMuHmHTTJACmrJ/C0BlDsRgWLIaFIltRqbY9PaN59KblZLtGA2A1rWw+vATfYzN4ruUAOtfofMa4qr9dnYMZBzEMg9ZVW7Ps/mVl8nlFREREREQqi/PNQ/VOexl49+936f1Nb+79+V56fNWjzNqN8ouiWkA1DAysppWO1To6rnWo1qFUXRs2+tXrR0JmAtM2TaNtdFve6vEWgxoN4uc7fibYK9g+xd2w0PnaMQzuu82RsANc55NPUNJ7bDvwI2sT1p41Lm3JJiIiIiIicnlopJ1LH2nvNbUXv+/63XGe+1wuAEN+HMK8vfMY1GgQD7Z4kJTcFLrV7Iaby/lvJ3YiCY8JiOGrDV+xeN9iBjUaxKSbJvHXwb9YvH8xfh5+XF/tesJ9w2n0QSNS81LxcPEg7qE4GldpDEDc4TheWvYRaQF9qRPdG7fjW5oFu8Hd4fBD3MuMXjQam2lfMn73E7vPuM/6kv1LeOTXR/B082Ry/8k0CW9ywd+ZiIiIiIhIZXa+eagWoisDt9S/xZG031DrBjxdPZm8bjI/bfsJgE/WfMInaz4B7PuuP93+ad746w1iAmIY220svu6+rIhfwdNznybAI4AP+3xITEAMAJF+kfxf2//jw1Uf8sv2XwD475r/cjjrML/c+YtjxD0xK5HYj2NJzUsFIN+az9zdc2lcpTGmCelesVRr+imRJX5F0ykQbgkFzwt8fbtj9Y5sHrb5Yr8uEREREREROU9K2svAgy0fpHGVxiRmJdK7bm8APF09T1t3xvYZzN87n+zCbADcLG5M6DmBW7+7lcSsRAwMHpv9GD/f8bPjnkJrISviV5RqZ+aOmSRkJhDpFwnAF2u/ICErwXHdxXChc43OJBXAl4mwO7f43lA3uCsc6vsUlw1vM5xVh1exLnEdI9uOPOMo+9nYTBsPz3yYKRum0D6mPT/f8TN+Hn4X3I5TmCZYc8HV29mRiIiIiIiIOChpLyNtY9qWOr+94e38Hf83c3bPIco3ivn75juuZRZkAvYV3BOzEwHIKsjCZtqwGBYy8jMwTZMPVn3A4v2LyczP5Pfdv5dq34Kl1DT7KL8obKYNA/v75jMG/cJRj+Z8tg8KTJOkrCRMTO6MjuCWMAOPEqsZ7D22l5cXv0yMfwyf9/+cUO/QUz6fzbTxv43/Izk7maHXDiXYK/iUOksPLOXTtZ8CsHDfQr5c/yWPXffYBXyLUGQrYu+xvVQLqIaHq8cF3XvRCo7B/K5wbB1E9YHrp4Pl/F9hEBERERERKS9K2suJi8WFu5rdRbR/NK2iWjmSdothoWFoQ7Yc3UKIVwhPt3sagLd7vs3IOSMJ8AzgzRveZPq26Tw++3EMDMcK8SXZsLErdZcjwb6r2V0czjzM34f+pl/jh9js1Zs9R+BYbirL4pdzKGUtJE2h3rX9ubPHm6Xauvnbm9mUvAmAhKwEfhr00ynPG7tkLM8veB4Dgy/Xf8nah9eesiCdn3vxqLqJWer8fGQVZNH+8/ZsSNpAjcAarHxgJWE+YRfUxkXZO9WesAMc/g2SFkLkDeX/XBERERERkXNQ0l6GCq2FxGfEExMQw9YjW2n9aWuKbEVYSi7Sb8J/+/6X5hHN8XD1wGJY+G7zdzz868NYbVZe7vIysVGx/HXgrzMm7AAhXiHUD63vOLcYFkZ1eJa5x+DVLRvZu+83wn0jWJe4BmvqXDj6M5gFTNkwhTdPStoPpB/AaloB+zZzp7P0wNLj4ZusT1pPgbXglJHw5pHNmdhrIl+u/5Lrq1/PP5r+44K+v3l75rEhaYMjjh+2/MCjrR69oDYuildE6XPPKuX/TBERERERkfOgpP0ibDmyhb7/60tiViLjbxjPo60e5VjuMdp+1pbtKdtpFNaIh1o85Ngb3YbNca8NG62rtsbFUrz620uLXnLUHb1wNI+3fpwhTYcwKW4S21O2061mN9684U0KrAXkFeWxLnEdA+oPINAz0NHGutRknt+yi2SbNyvj/wYgPmUNJH4Jebsd9WKjYimyFeFqKf6rH9ttLMNmDcPN4sbozqNJzU1l0qpJ+Lj78Gjso3i4enBX07uYs3sOALc1vO2MU9eHXTeMYdcNu6jvNd+aX+o8PT/9otq5YDG3wrVvQPJCqH4nBDW7PM8VERERERE5ByXtF+GlRS+xL20fNtPG47Mf597m9/LL9l/YnrIdgM1HNpNVkHXaex9s8WCphB0gryjPcXxiZH1j0kYahDbgxto38lr31/B0K17YrlONTo5jmwm/HilkyKLZZBXmOVrh2DxI+QVfVw9KRjJr5yyu++Q6lt63FG83+6Jrj8Q+wpAmQ3CxuODt5k3HLzqy7OAyTNNk29FtfHTTRwxpOoTmkc05kn3klD3iy4qXq1ep89O9N18uDAMa/sv+IyIiIiIiUoEoab8I/h7+GMf/eLl54WpxpU5wHcA+Td1m2sgpyjnlvvoh9fnvTf+lwFrAR3EfcSz3GI+2ehSLUTx9vshWRFpeGjd+fSMFtgIAdqTuYNaQWae0dyjfvjL8hvQcR8JuFB4hLOM3klNX0LFaRzYmbTzlvrWJa+kyuQtbj27l7mZ3836v90ut8r4mYY1jv/aVh1Y6yhuGNYRyfMW8R+0edKreiUX7F9E0vCkDGw0sv4eJiIiIiIhcAZS0X4Sx3caSnpfO4czDjO48mvWJ69l2dBtjOo9hf9p+brrmJiJ8I3h1yauOewwMutXshmEYjJo7inf/fhfDMPh5+88MaTKE0YtGA3BH4ztIz0t3JOwAs3fNJj4jnmj/aACsJvyeCr+l2I/93P0I8Q4h5dA3kPobXw/+leurX8+OlB00/ajpKfEbGKw8bE/GP1j1AQMbDeT66tc7rv8z9p+MXz4egGGtLm6q+8XwdPVkwdAFpOWlEeAZUOqXGSIiIiIiIpWRkvaLEOodyre3fwvAwO8H8v2W7x3XJvaayM0Nbgbglzt+4fO1n7M3bS/NI5vzSrdXAIhLiMPExDRNNiRtIO7BONrHtOeDVR+wNmEtf+z+g9ioWOIOxwH2JPvEO+jxeTA5EXbl5DN/73xSco7SPrw2i7v1YW+CF7WDxzoWqKsfWp+WkS1ZnbAaCxbqh9WncVhjqgdW581lxYvRnbyn/Bs3vMHdze7Gy83LMYPgcjEMgyCvoMv6TBERERERkYpKSfslSM5OLpWwA0zfNt2xEFvfen3pW6+v49qcXXOYv3c+nap1cqzG3jS8KYZhsCdtDzO2zwAg7tc4Vj6wknFLx7Ht6DZGtR9FqHcEM4/CrFT7e+ybkjcRn34AUn9n3tbfcG+8lT7X9CkVi5uLG3/d9xczt8/kgZkPsOXIFg6kH2D1Q6vJLcrlz71/ck+ze7iu6nWl7jMMgybhTcr667o0+amw9yvwioRqt9vfQxcREREREbnKKWm/BEGeQUT6RpKQleAo612392nrLj+4nBun3ohB6WRzbeJaFu1fREZ+huN9eIDvt3xP66qt+azfZ2QaQYw7APElFlcPMLLhwGuQvx/gjFPJPVw9KLQVOlZizyrIYtG+Rbzf6/2L/tyXnWnC/C6QthEwIXsvNBzl7KhERERERETKnZL2S+Dm4sbS+5bywaoPSM1N5bYGtzmSdtM0+c+f/2HG9hnc2fhOUnJS7OWn2Xf9cOZhvt/yPR4u9gS7QWgDxi8bD4Yrk+OP0bnFa9iO32YxoFcwQBZ/Hk/Y3V3cHSvBn07r6NZ4uXqRW5SLm8WN9tXal+n3UO6suZC2ofg8eXH5Ju2mDdK32vdv9wgpv+eIiIiIiIicg5L2S1QrqBYTekw4pfybjd8wdulYAJ5f8Dy31L+l1PVO1TqxN20vQ5oOYeqGqaw+vBqbaSPYKxgPVw9MjxiIuIedxHD98YQ92gPuiYAYTxi7dR0GBiYmBdYCthzZQoRvxBljXPPwGubvmU+nGp3sq8BfSVy9oWpfODTTfl5jSOnrx9bBjongWwsa/Assbhf/LNOEJbdC/Axw8YKu8yGs7cW3JyIiIiIicgmUtJeTWTtLb9G259ieUuf3t7ifu5rdBcCNX99oX5gOkyIMWjUdS9zuXYCFMO8qmKaVfqEu3BgMrsdnwQ+oP4BXFr9CblEuVbyrnLKY3Mnqh9Z3LFB3Rer4k32E3bMKBDYuLi/KhXldoCjTPkJumtD4uYt/Tk68PWEHsBXA7k+VtIuIiIiIiNNoT61yUsWnSqlzG7ZS58nZyayIX8G7K97l/9r8H02rNCUqrD29u/6FNfAGQryrAAaJKSvJ2/M8N4UWJ+wAXq5ejkQ9OSeZDp93YP6e+Y7rG5I2sD5xfbl9vsvO4goRXUsn7ACF6VCYBqYVDAtk7bq053iE2qfEGy72NgMr2IJ8IiIiIiJSqWikvRysSVjDVxu+cpy7GC48cd0TPDDzAcd59YDqtPusHSYm/p4hvD14NytzAhxvvKflpkDKDEidw5bC5sDYUs+Ytmkax/KOOc4Nw2DWzll0q9WN15a+xrPznwXg5S4v85/r/1OeH9e5vCKg1gOw51Nw8Ya6l7ivvKsXdF9qH2H3qwN1HiqbOEVERERERC6CkvZyMHrhaEdCbTEsLL53MbFRsQR5BTF/z3wyCzL5csOX9kXpPGuRETGUn5IyqeoXAEB1T7gvOIFPdswGYFirUxPRxlVKjzibpknPOj0BmBQ3yVE+KW7S1Z20A7T5BJqOAfdA+/vvlyqgPrQYf+ntiIiIiIiIXCIl7RfhYPpBhvw0hMOZhxnTeQxLDy5lz7E9PN3uabrV6kaIVwgGBhbDQpBnEAVFBYS8EUJ2QTZ+Hn5kF2RjxYKlyiBsAZ3xcfcjzDsMVwP6hkCPYDCqvcBj196Mj5sPtYNrnxJD33p9+d+t/+PPPX9SxbcKN9e/mZZRLQFoG92Wg+kHHceVgneUsyMQEREREREpc4ZpmqfuQVbJZGRkEBAQQHp6Ov7+/o5yq83KlPVTSM5O5r7m9xHmEwbA0BlDmbphKlbTiovh4thb3dPVkyP/OkJuUS4j54wkKSuJMV3G8Nz851iwb0Hxdm9edSB8KNVCY2kQVp8I30jq+XhwTwREelz658kpzOHj1R9jmiYPxz581u3gRERERERE5PI7Ux56MiXtnPnLGrNwDKMXjcZiWGgY1pANj2xgzKIxvLz4ZUeibjEsYBYvNHfkX0cI9Q4F4PM1n/P9lu/JKshiefxybIYbblVup8CvHRbDld51e1HNvyr9Q6F7kH0PdhEREREREbn6nW/Srunxp1FkK+KjuI8ci8nZTBubkjex+9huxiwa46jnbnHn9e6vM375eBKyEnjh+hccCfsPW37g/pn3O+p2qf8wSX430jDqegzA082LRn5eDA2HiDIYXRcREREREZGrj5L2kxzNOUq///VjefxyDIqHvu9sfCdZ+Vml6hbZipizew6HMg9hYFDVv6rj2sztM+0HhjuE3kJyyF10iGkPgJsBA0Khq0bXRURERERE5Cy0T3sJpmnS8+ueLI9fbj8//g56t5rdeLLtkzQJb4KL4eKob8PG77t/d9QdOWek49qDLR8Er3pQ40UI7EL90PoA1PGC52tA92Al7CIiIiIiInJ2StpLeHvF26xJWHNK+YJ9C+j5dU9MTL697VtCvEJOe7/FsH+deVbY79GBm7sv5tro7tza8FYivEMYVAWeioFw94uPMSM/g5SclItvQERERERERK4YStpL+HHLj6eUGRjYTBupuam8+deb3Pb9baTkpuDv7o+3mzdDmw7Fx80HP3c/pt4yla3ZMGY/LE6DMJ8qtIxqSZB5lNt8ttA1CIxLGF3/edvPhL4RStibYUxYNuHiGxIREREREZErgpL2ErrX6n5K2Ykp8s91fM6xMB2AxWIh+9/ZTL55Mln/ziLp6QyO+ffhnXhILbTXcbeYrF3/NJ/+Up+unzbmu83fXVJ8ry55lUJbISYmoxeNvqS2REREREREpOJT0l7CnF1zAHCzuAHgYrjQKqoVaaPSeLnry3Ss1hGwj763i2nnuG9zNozZB0vSi9uq5w3Dw9NZs+0tR9m3m7+9pPjqBNfBYlhwMVyoGVjzktoSERERERGRik+rx5ew9ehW8IRCWyEtI1vSrWY3RrYdSYBnAADv936fFpEtyLfmc3/z+8mxwvdHYFmJZN3DAreFQccAMPGnYVhDthzZgolJp+qdLim+SX0mEeUXRXZBNs90eOaS2hIREREREZGKzzBN03R2EM52YlN7ngE87WUDGw7k29vPPDK+MQu+ToK0ouKymh55LFn5EFsSlvBU26cYdt0wUnJS+GbjN8QExNC/Xn+MS3mpXURERERERK4KJ/LQ9PR0/P39z1hPSTvFX1bMuBgO5h/EzeLGsvuXERsVS0FRAS8ufJECawEvdHoBN7cAvk2GFRnF93ta4PYwmL/uJV5aPAabaQNg3/B9VA+s7qRPJSIiIiIiIhXV+Sbtmh5fQph3GENaDeGxVo9R1b8qAC0+bsHmI5sB+HrvRu7qPodMa/FoeSMf+Ec4BLvBPGyl2juRvIuIiIiIiIhcDCXtJaxJWMPaY2t5oPkDgD3p3nxkM1i8ocogkv1ac6ywCFeLG14WGFgF2voXb+M2os0IVh5aybrEdTzV7ilqBmmxOBEREREREbl4StpPYmKSVZAFgMWwUDP6Fva6twEXfwI8AnC1uNHk+Oh6oFvpewM9A5k1ZJYTohYREREREZGrkZL2Etxc3Hi09aM0DW9KZhFMS4Yu7aYRlLQegPZRzRkcDq1LjK6LiIiIiIiIlBcl7SUcffoo/v7+rM6E/yVBphVcLW7ERsbSzBcGVzl1dF1ERERERESkvFicHUBZ+fDDD6lZsyaenp60bNmSJUuWXHAbmUXw38Pw8WF7wg7g4wL3R8KjUUrYRURERERE5PK6KpL2b7/9lhEjRvDcc8+xdu1aOnbsSK9evThw4MAFtTN2P6zJLD5v7guja8B1mg4vIiIiIiIiTnBV7NPeunVrWrRowaRJkxxlDRo0YMCAAYwbN+6c95/YH++euHTcff3xcbFPhW/pp2RdREREREREyl6l2ae9oKCA1atX88wzz5Qq79GjB8uWLTvtPfn5+eTn5zvO09PT7W1lZdDMF24PBj8gM/O0t4uIiIiIiIhckoyMDADONY5+xSftR48exWq1Eh4eXqo8PDycxMTE094zbtw4xowZc0r5N51j+Ab4v/IIVEREREREROQkmZmZBAQEnPH6FZ+0n2CcNI/dNM1Tyk549tlnGTlypOM8LS2N6tWrc+DAgbN+WVJ5ZGRkEBMTw8GDB886VUUqD/UJKUn9QU6mPiEnU5+Qk6lPyMlM0yQzM5OoqKiz1rvik/bQ0FBcXFxOGVVPTk4+ZfT9BA8PDzw8PE4pDwgI0P+ApBR/f3/1CSlFfUJKUn+Qk6lPyMnUJ+Rk6hNS0vkMGl/xq8e7u7vTsmVL5s6dW6p87ty5tGvXzklRiYiIiIiIiFy6K36kHWDkyJHcddddxMbG0rZtWz7++GMOHDjAI4884uzQRERERERERC7aVZG0Dxo0iJSUFF566SUSEhJo3Lgxs2bNonr16ud1v4eHBy+++OJpp8xL5aQ+ISdTn5CS1B/kZOoTcjL1CTmZ+oRcrKtin3YRERERERGRq9EV/067iIiIiIiIyNVKSbuIiIiIiIhIBaWkXURERERERKSCUtIuIiIiIiIiUkFV+qT9ww8/pGbNmnh6etKyZUuWLFni7JCknCxevJi+ffsSFRWFYRjMmDGj1HXTNBk9ejRRUVF4eXnRuXNnNm/eXKpOfn4+jz/+OKGhofj4+NCvXz/i4+Mv46eQsjJu3DhatWqFn58fVapUYcCAAWzfvr1UHfWJymXSpEk0bdoUf39//P39adu2LbNnz3ZcV3+QcePGYRgGI0aMcJSpX1Quo0ePxjCMUj8RERGO6+oPldOhQ4f4xz/+QUhICN7e3lx77bWsXr3acV39Qi5VpU7av/32W0aMGMFzzz3H2rVr6dixI7169eLAgQPODk3KQXZ2Ns2aNWPixImnvf7GG2/w1ltvMXHiRFatWkVERAQ33HADmZmZjjojRoxg+vTpTJs2jaVLl5KVlcVNN92E1Wq9XB9DysiiRYsYNmwYK1asYO7cuRQVFdGjRw+ys7MdddQnKpfo6Ghee+014uLiiIuLo2vXrvTv39/xDyv1h8pt1apVfPzxxzRt2rRUufpF5dOoUSMSEhIcPxs3bnRcU3+ofI4dO0b79u1xc3Nj9uzZbNmyhQkTJhAYGOioo34hl8ysxK677jrzkUceKVVWv35985lnnnFSRHK5AOb06dMd5zabzYyIiDBfe+01R1leXp4ZEBBgfvTRR6ZpmmZaWprp5uZmTps2zVHn0KFDpsViMX///ffLFruUj+TkZBMwFy1aZJqm+oTYBQUFmZ9++qn6QyWXmZlp1q1b15w7d67ZqVMnc/jw4aZp6r8TldGLL75oNmvW7LTX1B8qp1GjRpkdOnQ443X1CykLlXakvaCggNWrV9OjR49S5T169GDZsmVOikqcZe/evSQmJpbqDx4eHnTq1MnRH1avXk1hYWGpOlFRUTRu3Fh95iqQnp4OQHBwMKA+UdlZrVamTZtGdnY2bdu2VX+o5IYNG0afPn3o3r17qXL1i8pp586dREVFUbNmTe644w727NkDqD9UVr/88guxsbHcfvvtVKlShebNm/PJJ584rqtfSFmotEn70aNHsVqthIeHlyoPDw8nMTHRSVGJs5z4Oz9bf0hMTMTd3Z2goKAz1pErk2majBw5kg4dOtC4cWNAfaKy2rhxI76+vnh4ePDII48wffp0GjZsqP5QiU2bNo01a9Ywbty4U66pX1Q+rVu3ZsqUKcyZM4dPPvmExMRE2rVrR0pKivpDJbVnzx4mTZpE3bp1mTNnDo888ghPPPEEU6ZMAfTfCSkbrs4OwNkMwyh1bprmKWVSeVxMf1CfufI99thjbNiwgaVLl55yTX2icqlXrx7r1q0jLS2NH3/8kaFDh7Jo0SLHdfWHyuXgwYMMHz6cP/74A09PzzPWU7+oPHr16uU4btKkCW3btqV27dp8+eWXtGnTBlB/qGxsNhuxsbGMHTsWgObNm7N582YmTZrE3Xff7ainfiGXotKOtIeGhuLi4nLKb6+Sk5NP+U2YXP1OrPx6tv4QERFBQUEBx44dO2MdufI8/vjj/PLLLyxYsIDo6GhHufpE5eTu7k6dOnWIjY1l3LhxNGvWjHfffVf9oZJavXo1ycnJtGzZEldXV1xdXVm0aBHvvfcerq6ujr9X9YvKy8fHhyZNmrBz5079d6KSioyMpGHDhqXKGjRo4FjYWv1CykKlTdrd3d1p2bIlc+fOLVU+d+5c2rVr56SoxFlq1qxJREREqf5QUFDAokWLHP2hZcuWuLm5laqTkJDApk2b1GeuQKZp8thjj/HTTz/x559/UrNmzVLX1ScE7P0kPz9f/aGS6tatGxs3bmTdunWOn9jYWIYMGcK6deuoVauW+kUll5+fz9atW4mMjNR/Jyqp9u3bn7Jl7I4dO6hevTqgf09IGbn8a99VHNOmTTPd3NzMzz77zNyyZYs5YsQI08fHx9y3b5+zQ5NykJmZaa5du9Zcu3atCZhvvfWWuXbtWnP//v2maZrma6+9ZgYEBJg//fSTuXHjRvPOO+80IyMjzYyMDEcbjzzyiBkdHW3OmzfPXLNmjdm1a1ezWbNmZlFRkbM+llykRx991AwICDAXLlxoJiQkOH5ycnIcddQnKpdnn33WXLx4sbl3715zw4YN5r///W/TYrGYf/zxh2ma6g9iV3L1eNNUv6hsnnzySXPhwoXmnj17zBUrVpg33XST6efn5/i3o/pD5bNy5UrT1dXVfPXVV82dO3eaU6dONb29vc2vv/7aUUf9Qi5VpU7aTdM0P/jgA7N69eqmu7u72aJFC8d2T3L1WbBggQmc8jN06FDTNO1bcrz44otmRESE6eHhYV5//fXmxo0bS7WRm5trPvbYY2ZwcLDp5eVl3nTTTeaBAwec8GnkUp2uLwDmF1984aijPlG53HfffY7/PwgLCzO7devmSNhNU/1B7E5O2tUvKpdBgwaZkZGRppubmxkVFWXecsst5ubNmx3X1R8qp5kzZ5qNGzc2PTw8zPr165sff/xxqevqF3KpDNM0TeeM8YuIiIiIiIjI2VTad9pFREREREREKjol7SIiIiIiIiIVlJJ2ERERERERkQpKSbuIiIiIiIhIBaWkXURERERERKSCUtIuIiIiIiIiUkEpaRcRERERERGpoJS0i4iIiIiIiFRQStpFRESkTIwePZprr73W2WEAcM899zBgwABnhyEiInLJlLSLiIhUMImJiQwfPpw6derg6elJeHg4HTp04KOPPiInJ8fZ4V2U0aNHYxjGWX/27dt3we3u27cPwzBYt25dmccsIiJSEbg6OwAREREptmfPHtq3b09gYCBjx46lSZMmFBUVsWPHDj7//HOioqLo16/fae8tLCzEzc3tMkd8fp566ikeeeQRx3mrVq146KGHePDBBx1lYWFhjuOCggLc3d0va4wiIiIVkUbaRUREKpB//vOfuLq6EhcXx8CBA2nQoAFNmjTh1ltv5bfffqNv376OuoZh8NFHH9G/f398fHx45ZVXAJg0aRK1a9fG3d2devXq8dVXXznuOd3IdFpaGoZhsHDhQgAWLlyIYRjMnz+f2NhYvL29adeuHdu3by8V62uvvUZ4eDh+fn7cf//95OXlnfFz+fr6EhER4fhxcXHBz8/Pcf7MM89w6623Mm7cOKKiorjmmmscn3HGjBml2goMDGTy5MkA1KxZE4DmzZtjGAadO3cuVXf8+PFERkYSEhLCsGHDKCwsPOffgYiISEWipF1ERKSCSElJ4Y8//mDYsGH4+Picto5hGKXOX3zxRfr378/GjRu57777mD59OsOHD+fJJ59k06ZNPPzww9x7770sWLDgguN57rnnmDBhAnFxcbi6unLfffc5rn333Xe8+OKLvPrqq8TFxREZGcmHH354wc8oaf78+WzdupW5c+fy66+/ntc9K1euBGDevHkkJCTw008/Oa4tWLCA3bt3s2DBAr788ksmT57sSPZFRESuFJoeLyIiUkHs2rUL0zSpV69eqfLQ0FDHKPawYcN4/fXXHdcGDx5cKpkePHgw99xzD//85z8BGDlyJCtWrGD8+PF06dLlguJ59dVX6dSpEwDPPPMMffr0IS8vD09PT9555x3uu+8+HnjgAQBeeeUV5s2bd9bR9nPx8fHh008/vaBp8Sem1IeEhBAREVHqWlBQEBMnTsTFxYX69evTp08f5s+fX2pKvoiISEWnkXYREZEK5uTR9JUrV7Ju3ToaNWpEfn5+qWuxsbGlzrdu3Ur79u1LlbVv356tW7decBxNmzZ1HEdGRgKQnJzseE7btm1L1T/5/EI1adKkTN9jb9SoES4uLo7zyMhIR/wiIiJXCo20i4iIVBB16tTBMAy2bdtWqrxWrVoAeHl5nXLP6abRn5z0m6bpKLNYLI6yE870nnfJRe1O3G+z2c75OS7WmT5LyVjhzPGe7ORF+QzDKNf4RUREyoNG2kVERCqIkJAQbrjhBiZOnEh2dvZFtdGgQQOWLl1aqmzZsmU0aNAAKJ5OnpCQ4Lh+MdulNWjQgBUrVpQqO/m8LISFhZWKdefOnaW2vTsxMm+1Wsv82SIiIhWBRtpFREQqkA8//JD27dsTGxvL6NGjadq0KRaLhVWrVrFt2zZatmx51vv/9a9/MXDgQFq0aEG3bt2YOXMmP/30E/PmzQPso/Vt2rThtddeo0aNGhw9epT//Oc/Fxzn8OHDGTp0KLGxsXTo0IGpU6eyefNmx6yAstK1a1cmTpxImzZtsNlsjBo1qtQIepUqVfDy8uL3338nOjoaT09PAgICyjQGERERZ9JIu4iISAVSu3Zt1q5dS/fu3Xn22Wdp1qwZsbGxvP/++zz11FO8/PLLZ71/wIABvPvuu7z55ps0atSI//73v3zxxReltkL7/PPPKSwsJDY2luHDhzu2irsQgwYN4oUXXmDUqFG0bNmS/fv38+ijj15wO+cyYcIEYmJiuP766xk8eDBPPfUU3t7ejuuurq689957/Pe//yUqKor+/fuXeQwiIiLOZJgnvygmIiIiIiIiIhWCRtpFREREREREKigl7SIiIiIiIiIVlJJ2ERERERERkQpKSbuIiIiIiIhIBaWkXURERERERKSCUtIuIiIiIiIiUkEpaRcRERERERGpoJS0i4iIiIiIiFRQStpFREREREREKigl7SIiIiIiIiIVlJJ2ERERERERkQrq/wFqpAFUFMy2QQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Tester.test(ensemble_pricer, test) #old " + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "0d26c9ff-994b-4799-af51-09d00ddc0c06", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[92m1: Guess: $22.95 Truth: $32.70 Error: $9.75 SLE: 0.12 Item: AXE HEAVEN Stranger Things Eddie's Guita...\u001b[0m\n", + "\u001b[91m2: Guess: $116.05 Truth: $213.94 Error: $97.89 SLE: 0.37 Item: Southbend Range 1175016 Natural Gas Valv...\u001b[0m\n", + "\u001b[92m3: Guess: $73.23 Truth: $79.99 Error: $6.76 SLE: 0.01 Item: SUNY Party Lights DJ Stage Lighting 12 G...\u001b[0m\n", + "\u001b[92m4: Guess: $42.82 Truth: $18.99 Error: $23.83 SLE: 0.62 Item: 113PCS Birthday Party Supplies and Decor...\u001b[0m\n", + "\u001b[92m5: Guess: $49.75 Truth: $44.95 Error: $4.80 SLE: 0.01 Item: Artist Unknown A- B Box, Black (T-LPSMR ...\u001b[0m\n", + "\u001b[92m6: Guess: $86.15 Truth: $84.99 Error: $1.16 SLE: 0.00 Item: PINK Child’s Practice Chanter by R.G.Har...\u001b[0m\n", + "\u001b[93m7: Guess: $396.52 Truth: $592.95 Error: $196.43 SLE: 0.16 Item: PENNZONI 4ft Drum Shield w/Deflectors & ...\u001b[0m\n", + "\u001b[91m8: Guess: $98.95 Truth: $325.01 Error: $226.06 SLE: 1.40 Item: LEGO Bionicle Umarak The Destroyer (7131...\u001b[0m\n", + "\u001b[92m9: Guess: $114.12 Truth: $90.99 Error: $23.13 SLE: 0.05 Item: (Red) - Hape E3153 Toy, Multicolor\u001b[0m\n", + "\u001b[93m10: Guess: $100.00 Truth: $52.39 Error: $47.61 SLE: 0.41 Item: LEGO DUPLO My Town Birthday Party 10832,...\u001b[0m\n", + "\u001b[92m11: Guess: $230.26 Truth: $202.47 Error: $27.79 SLE: 0.02 Item: Aquamarine Fate/Grand Order: Alter Ego/O...\u001b[0m\n", + "\u001b[93m12: Guess: $234.08 Truth: $161.58 Error: $72.50 SLE: 0.14 Item: Mytheos Kakegurui xx: Mary Saotome 1:7 S...\u001b[0m\n", + "\u001b[92m13: Guess: $27.85 Truth: $25.95 Error: $1.90 SLE: 0.00 Item: Rotosond Stainless Steel Roundwound Bass...\u001b[0m\n", + "\u001b[92m14: Guess: $39.92 Truth: $44.05 Error: $4.13 SLE: 0.01 Item: DKKY Upgrade Shock Towers Bracket fit fo...\u001b[0m\n", + "\u001b[92m15: Guess: $78.22 Truth: $69.99 Error: $8.23 SLE: 0.01 Item: Ranch Concert Ukulele 23 inch Profession...\u001b[0m\n", + "\u001b[92m16: Guess: $131.47 Truth: $99.95 Error: $31.52 SLE: 0.07 Item: BOYA Large-Diaphragm Studio Microphone P...\u001b[0m\n", + "\u001b[93m17: Guess: $159.30 Truth: $89.69 Error: $69.61 SLE: 0.32 Item: TOYSLY Off-Road Pickup J40 Land Cruiser ...\u001b[0m\n", + "\u001b[92m18: Guess: $109.09 Truth: $127.99 Error: $18.90 SLE: 0.03 Item: Medicom The Return of Superman: Cyborg S...\u001b[0m\n", + "\u001b[92m19: Guess: $26.83 Truth: $34.94 Error: $8.11 SLE: 0.07 Item: Axe Heaven FS-013 Fender Strat Cream Fin...\u001b[0m\n", + "\u001b[92m20: Guess: $29.99 Truth: $34.99 Error: $5.00 SLE: 0.02 Item: Grover CP68 Leather Handle Side Buckle, ...\u001b[0m\n", + "\u001b[92m21: Guess: $98.27 Truth: $72.99 Error: $25.28 SLE: 0.09 Item: Costzon 3 in 1 Kids Art Easel, Double-Si...\u001b[0m\n", + "\u001b[92m22: Guess: $24.36 Truth: $16.99 Error: $7.37 SLE: 0.12 Item: Hot Wheels id Vehicle The Dark Knight Ba...\u001b[0m\n", + "\u001b[92m23: Guess: $22.19 Truth: $5.46 Error: $16.73 SLE: 1.63 Item: \"The Secret Life Of Pets 2\" Green Party ...\u001b[0m\n", + "\u001b[93m24: Guess: $71.60 Truth: $23.55 Error: $48.05 SLE: 1.18 Item: Mattel Pixar Spotlight Series Woody Figu...\u001b[0m\n", + "\u001b[92m25: Guess: $40.62 Truth: $44.99 Error: $4.37 SLE: 0.01 Item: Strictly Briks Classic Stackable Basepla...\u001b[0m\n", + "\u001b[92m26: Guess: $46.15 Truth: $35.99 Error: $10.16 SLE: 0.06 Item: 4-Pack Replacement for Kenmore/Sears 795...\u001b[0m\n", + "\u001b[93m27: Guess: $108.44 Truth: $168.88 Error: $60.44 SLE: 0.19 Item: Funko POP Television (Vinyl): Breaking B...\u001b[0m\n", + "\u001b[92m28: Guess: $38.97 Truth: $12.99 Error: $25.98 SLE: 1.10 Item: 116 Pcs Dinosaur Themed Party Favors Set...\u001b[0m\n", + "\u001b[92m29: Guess: $33.61 Truth: $31.99 Error: $1.62 SLE: 0.00 Item: Barbie Made to Move Exercise, Yoga Doll\u001b[0m\n", + "\u001b[93m30: Guess: $131.25 Truth: $72.99 Error: $58.26 SLE: 0.34 Item: 1995 DC vs Marvel Base Set of 100 Cards,...\u001b[0m\n", + "\u001b[92m31: Guess: $44.31 Truth: $16.99 Error: $27.32 SLE: 0.85 Item: Clementoni \"Romantic Italy - Venice\" Puz...\u001b[0m\n", + "\u001b[91m32: Guess: $116.05 Truth: $18.41 Error: $97.64 SLE: 3.23 Item: Large Size Fast Sling Puck Game Board Fo...\u001b[0m\n", + "\u001b[93m33: Guess: $69.98 Truth: $110.99 Error: $41.01 SLE: 0.21 Item: Remo Tucked Nuskyn Conga Drumhead, 11.75...\u001b[0m\n", + "\u001b[93m34: Guess: $677.08 Truth: $539.99 Error: $137.09 SLE: 0.05 Item: Yamaha FGX830C Solid Top Cutaway Acousti...\u001b[0m\n", + "\u001b[92m35: Guess: $59.68 Truth: $41.30 Error: $18.38 SLE: 0.13 Item: Malifaux Third Edition Arcanists Colette...\u001b[0m\n", + "\u001b[91m36: Guess: $325.93 Truth: $229.95 Error: $95.98 SLE: 0.12 Item: Rockville RAM12BT 12\" Rechargable Powere...\u001b[0m\n", + "\u001b[92m37: Guess: $26.27 Truth: $3.89 Error: $22.38 SLE: 2.95 Item: Monoprice 107193 6.35-mm Stereo Plug to ...\u001b[0m\n", + "\u001b[92m38: Guess: $0.00 Truth: $14.61 Error: $14.61 SLE: 7.55 Item: Q-Parts Mini Dome Knob, EBONY ON BLACK\u001b[0m\n", + "\u001b[92m39: Guess: $279.03 Truth: $279.99 Error: $0.96 SLE: 0.00 Item: Heng Long Modified Edition 1/16 2.4ghz R...\u001b[0m\n", + "\u001b[92m40: Guess: $30.16 Truth: $15.99 Error: $14.17 SLE: 0.37 Item: Levy's Leathers MM8-BRN J.K. Gully Hook,...\u001b[0m\n", + "\u001b[92m41: Guess: $23.02 Truth: $9.99 Error: $13.03 SLE: 0.61 Item: CHIAOGOO Nylon Cable, Large, Multicolour\u001b[0m\n", + "\u001b[93m42: Guess: $220.65 Truth: $339.99 Error: $119.34 SLE: 0.19 Item: Bunnel Pupil Student Violin Outfit 1/2 S...\u001b[0m\n", + "\u001b[92m43: Guess: $49.07 Truth: $38.99 Error: $10.08 SLE: 0.05 Item: UGEARS Mechanical Wooden 3D Puzzle Model...\u001b[0m\n", + "\u001b[92m44: Guess: $59.02 Truth: $43.99 Error: $15.03 SLE: 0.08 Item: Puzzled Bundle of Dragons Asian Theme: L...\u001b[0m\n", + "\u001b[92m45: Guess: $20.69 Truth: $8.94 Error: $11.75 SLE: 0.61 Item: Barbie Chelsea Doll (6-inch Brunette) We...\u001b[0m\n", + "\u001b[92m46: Guess: $45.53 Truth: $46.30 Error: $0.77 SLE: 0.00 Item: amscan Miranda Rights\u001b[0m\n", + "\u001b[92m47: Guess: $22.58 Truth: $1.99 Error: $20.59 SLE: 4.26 Item: RetroArcade.us Jamma Standard and Plus C...\u001b[0m\n", + "\u001b[92m48: Guess: $35.25 Truth: $16.99 Error: $18.26 SLE: 0.49 Item: Seismic Audio SAGCRBK-20 Black 20-Feet W...\u001b[0m\n", + "\u001b[92m49: Guess: $218.81 Truth: $269.99 Error: $51.18 SLE: 0.04 Item: 1000pcs 14g Monte Carlo Poker Club Poker...\u001b[0m\n", + "\u001b[92m50: Guess: $24.67 Truth: $39.97 Error: $15.30 SLE: 0.22 Item: Cardfight Vanguard G Start Deck Odyssey ...\u001b[0m\n", + "\u001b[92m51: Guess: $35.12 Truth: $17.99 Error: $17.13 SLE: 0.41 Item: GOVOY Color Dough Dentist Doctor Drill a...\u001b[0m\n", + "\u001b[92m52: Guess: $47.99 Truth: $19.00 Error: $28.99 SLE: 0.80 Item: Wegrower Hand Chimes, Metal Chord Wind C...\u001b[0m\n", + "\u001b[92m53: Guess: $238.80 Truth: $199.00 Error: $39.80 SLE: 0.03 Item: 2.4GHz Wireless Lavalier Microphone Syst...\u001b[0m\n", + "\u001b[92m54: Guess: $60.86 Truth: $52.99 Error: $7.87 SLE: 0.02 Item: GLOBACT Steel 50T Center Diff Set Differ...\u001b[0m\n", + "\u001b[92m55: Guess: $74.80 Truth: $55.68 Error: $19.12 SLE: 0.08 Item: GENUINE Frigidaire 316442401 Range/Stove...\u001b[0m\n", + "\u001b[92m56: Guess: $48.41 Truth: $49.99 Error: $1.58 SLE: 0.00 Item: Jeereal Full Grain Genuine Padded Leathe...\u001b[0m\n", + "\u001b[92m57: Guess: $53.97 Truth: $20.99 Error: $32.98 SLE: 0.84 Item: Supplying Demand 8299642 W10135399 Cloth...\u001b[0m\n", + "\u001b[92m58: Guess: $53.23 Truth: $29.99 Error: $23.24 SLE: 0.31 Item: Electric Guitar Neck, Paddle Head DIY Un...\u001b[0m\n", + "\u001b[92m59: Guess: $159.95 Truth: $129.99 Error: $29.96 SLE: 0.04 Item: MXR M75 Super Badass Distortion Guitar E...\u001b[0m\n", + "\u001b[92m60: Guess: $83.77 Truth: $45.95 Error: $37.82 SLE: 0.35 Item: TCFUNDY DMX 512 Controller, 192 Channel ...\u001b[0m\n", + "\u001b[92m61: Guess: $170.31 Truth: $209.99 Error: $39.68 SLE: 0.04 Item: Vangoa 5 String Banjo Remo Head Closed S...\u001b[0m\n", + "\u001b[92m62: Guess: $155.14 Truth: $119.95 Error: $35.19 SLE: 0.07 Item: The Simpsons Exclusive Playset Moe's Bar...\u001b[0m\n", + "\u001b[91m63: Guess: $265.95 Truth: $179.00 Error: $86.95 SLE: 0.16 Item: Celestion G12-65 Heritage Guitar Speaker...\u001b[0m\n", + "\u001b[92m64: Guess: $19.05 Truth: $17.99 Error: $1.06 SLE: 0.00 Item: Sinnya 6 Pack Filter T HFT600 Filter Com...\u001b[0m\n", + "\u001b[92m65: Guess: $22.14 Truth: $22.95 Error: $0.81 SLE: 0.00 Item: PANYARD Steel Drum (JUMBIE JAM)\u001b[0m\n", + "\u001b[92m66: Guess: $78.55 Truth: $89.00 Error: $10.45 SLE: 0.02 Item: Zwide Professional Wireless Lavalier Mic...\u001b[0m\n", + "\u001b[92m67: Guess: $71.80 Truth: $82.90 Error: $11.10 SLE: 0.02 Item: Good Smile Re: Zero - Starting Life in A...\u001b[0m\n", + "\u001b[92m68: Guess: $219.40 Truth: $219.99 Error: $0.59 SLE: 0.00 Item: Latin Percussion LP981 LP Timbale Stand,...\u001b[0m\n", + "\u001b[92m69: Guess: $47.32 Truth: $43.59 Error: $3.73 SLE: 0.01 Item: Replacement Water filter for Maytag UKF-...\u001b[0m\n", + "\u001b[92m70: Guess: $22.43 Truth: $19.95 Error: $2.48 SLE: 0.01 Item: Monster Trombone Care and Cleaning Kit |...\u001b[0m\n", + "\u001b[92m71: Guess: $136.65 Truth: $101.00 Error: $35.65 SLE: 0.09 Item: LG Electronics AEQ72909602 Refrigerator ...\u001b[0m\n", + "\u001b[91m72: Guess: $143.28 Truth: $239.99 Error: $96.71 SLE: 0.26 Item: Korilakkuma San-X Original Plush (Jumbo)\u001b[0m\n", + "\u001b[92m73: Guess: $24.01 Truth: $28.61 Error: $4.60 SLE: 0.03 Item: Great Eastern Entertainment Cowboy Bebop...\u001b[0m\n", + "\u001b[92m74: Guess: $79.36 Truth: $55.99 Error: $23.37 SLE: 0.12 Item: Haxtec Natural Amethyst Gemstone DND Dic...\u001b[0m\n", + "\u001b[92m75: Guess: $67.66 Truth: $49.43 Error: $18.23 SLE: 0.10 Item: Pop 587 The Elder Scrolls V Skyrim Sheog...\u001b[0m\n", + "\u001b[93m76: Guess: $31.87 Truth: $97.49 Error: $65.62 SLE: 1.20 Item: Funko Pop Games: Mortal Combat - Kitana ...\u001b[0m\n", + "\u001b[92m77: Guess: $393.35 Truth: $439.99 Error: $46.64 SLE: 0.01 Item: SKB 3I-3019-12BC iSeries 30 1/2\" x 19 1/...\u001b[0m\n", + "\u001b[92m78: Guess: $22.20 Truth: $34.99 Error: $12.79 SLE: 0.19 Item: Veemoon Wedding Cake Topper Figurines Ol...\u001b[0m\n", + "\u001b[92m79: Guess: $178.02 Truth: $146.99 Error: $31.03 SLE: 0.04 Item: Kinglos 4/4 White Ebony Fitted Solid Woo...\u001b[0m\n", + "\u001b[92m80: Guess: $18.96 Truth: $8.39 Error: $10.57 SLE: 0.57 Item: Reaper Miniatures 2008 Christmas Sophie ...\u001b[0m\n", + "\u001b[92m81: Guess: $48.80 Truth: $38.89 Error: $9.91 SLE: 0.05 Item: Greture Sunflower Home Kitchen Decoratio...\u001b[0m\n", + "\u001b[93m82: Guess: $45.47 Truth: $97.95 Error: $52.48 SLE: 0.57 Item: Stormcast Eternals Celestant-Prime Hamme...\u001b[0m\n", + "\u001b[92m83: Guess: $207.04 Truth: $199.99 Error: $7.05 SLE: 0.00 Item: JIM DUNLOP Slash Wah Guitar Effects Peda...\u001b[0m\n", + "\u001b[92m84: Guess: $35.67 Truth: $41.99 Error: $6.32 SLE: 0.03 Item: Bilingual Quiet Book for Toddlers | Writ...\u001b[0m\n", + "\u001b[92m85: Guess: $64.22 Truth: $96.95 Error: $32.73 SLE: 0.17 Item: Exotic Electric Guitar Body Blank Wood V...\u001b[0m\n", + "\u001b[91m86: Guess: $265.31 Truth: $179.00 Error: $86.31 SLE: 0.15 Item: CAVALIERE Under Cabinet Range Hood 30\" I...\u001b[0m\n", + "\u001b[92m87: Guess: $44.41 Truth: $40.99 Error: $3.42 SLE: 0.01 Item: JUSOP Microphone Isolation Shield with P...\u001b[0m\n", + "\u001b[92m88: Guess: $17.45 Truth: $2.39 Error: $15.06 SLE: 2.87 Item: YU-GI-OH! - World of Prophecy (JOTL-EN02...\u001b[0m\n", + "\u001b[92m89: Guess: $43.50 Truth: $19.49 Error: $24.01 SLE: 0.60 Item: 240356402 Door Bin Shelf - Compatible Wi...\u001b[0m\n", + "\u001b[92m90: Guess: $260.22 Truth: $259.95 Error: $0.27 SLE: 0.00 Item: Odyssey FZPIDDJSXBL Black Label Flight Z...\u001b[0m\n", + "\u001b[93m91: Guess: $392.02 Truth: $601.00 Error: $208.98 SLE: 0.18 Item: Samson Expedition XP312w 12” 300 Watt Ba...\u001b[0m\n", + "\u001b[92m92: Guess: $45.49 Truth: $29.99 Error: $15.50 SLE: 0.16 Item: Fanattik Yu-Gi-Oh Metal Card White Drago...\u001b[0m\n", + "\u001b[92m93: Guess: $7.53 Truth: $2.08 Error: $5.45 SLE: 1.04 Item: Magic The Gathering - Voracious Dragon -...\u001b[0m\n", + "\u001b[93m94: Guess: $80.51 Truth: $36.99 Error: $43.52 SLE: 0.58 Item: Marvel Legends Annihilus Series Build-A-...\u001b[0m\n", + "\u001b[92m95: Guess: $86.71 Truth: $69.99 Error: $16.72 SLE: 0.04 Item: XPIY Tricycle for Toddlers Age 2 to 4 Ye...\u001b[0m\n", + "\u001b[92m96: Guess: $37.12 Truth: $75.00 Error: $37.88 SLE: 0.48 Item: Super Heroes Lego 76133 Spider-Man Car C...\u001b[0m\n", + "\u001b[92m97: Guess: $76.64 Truth: $57.98 Error: $18.66 SLE: 0.08 Item: Batman Dark Knight Movie Master Exclusiv...\u001b[0m\n", + "\u001b[92m98: Guess: $58.14 Truth: $55.89 Error: $2.25 SLE: 0.00 Item: KOKKO Looper Guitar Pedal Effects Mini L...\u001b[0m\n", + "\u001b[92m99: Guess: $49.57 Truth: $58.99 Error: $9.42 SLE: 0.03 Item: Upgraded Microphone Studio Recording Kit...\u001b[0m\n", + "\u001b[92m100: Guess: $73.30 Truth: $56.92 Error: $16.38 SLE: 0.06 Item: Redcat Racing Hexfly 3600 25C 11.1V LiPo...\u001b[0m\n", + "\u001b[92m101: Guess: $64.54 Truth: $33.99 Error: $30.55 SLE: 0.39 Item: CuberSpeed GAN 356 Air Speed Cube GAN 11...\u001b[0m\n", + "\u001b[92m102: Guess: $18.30 Truth: $3.07 Error: $15.23 SLE: 2.42 Item: Yu-Gi-Oh! - Icarus Attack (EOJ-EN055) - ...\u001b[0m\n", + "\u001b[92m103: Guess: $57.80 Truth: $48.64 Error: $9.16 SLE: 0.03 Item: Hohner Green Tones 3750 Beginner Drum Se...\u001b[0m\n", + "\u001b[92m104: Guess: $51.86 Truth: $32.62 Error: $19.24 SLE: 0.20 Item: Musiclily Pro 13-Hole Aluminum Vintage 6...\u001b[0m\n", + "\u001b[91m105: Guess: $242.81 Truth: $149.99 Error: $92.82 SLE: 0.23 Item: PreSonus AudioBox iTwo Studio USB 2.0 Re...\u001b[0m\n", + "\u001b[93m106: Guess: $241.34 Truth: $199.95 Error: $41.39 SLE: 0.04 Item: Rockville MOTIONSTRIP Motorized Moving H...\u001b[0m\n", + "\u001b[93m107: Guess: $77.29 Truth: $22.88 Error: $54.41 SLE: 1.41 Item: Hot Racing TFF125HM01 Aluminum reinforce...\u001b[0m\n", + "\u001b[92m108: Guess: $25.70 Truth: $22.23 Error: $3.47 SLE: 0.02 Item: Disney Cars Toys Movie Die-cast Characte...\u001b[0m\n", + "\u001b[92m109: Guess: $46.31 Truth: $62.99 Error: $16.68 SLE: 0.09 Item: HASMX 2 Pack Replacement Humidifier Filt...\u001b[0m\n", + "\u001b[92m110: Guess: $254.35 Truth: $299.00 Error: $44.65 SLE: 0.03 Item: Frigidaire 5304495520 Oven Control Board...\u001b[0m\n", + "\u001b[92m111: Guess: $15.55 Truth: $1.09 Error: $14.46 SLE: 4.28 Item: Magic: the Gathering - Drake Umbra - Ris...\u001b[0m\n", + "\u001b[92m112: Guess: $147.32 Truth: $118.99 Error: $28.33 SLE: 0.04 Item: Mezco Toyz Living Dead Dolls Series 23 -...\u001b[0m\n", + "\u001b[92m113: Guess: $80.87 Truth: $119.81 Error: $38.94 SLE: 0.15 Item: Hey! Play! Classic Giant Wooden Blocks T...\u001b[0m\n", + "\u001b[92m114: Guess: $40.67 Truth: $21.99 Error: $18.68 SLE: 0.35 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", + "\u001b[92m115: Guess: $37.19 Truth: $21.75 Error: $15.44 SLE: 0.27 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", + "\u001b[92m116: Guess: $35.96 Truth: $41.88 Error: $5.92 SLE: 0.02 Item: Funko Pop! Moment: Inuyasha - Inuyasha V...\u001b[0m\n", + "\u001b[93m117: Guess: $189.46 Truth: $275.00 Error: $85.54 SLE: 0.14 Item: Kotobukiya Dc Comics Batgirl Bishoujo St...\u001b[0m\n", + "\u001b[92m118: Guess: $52.36 Truth: $72.99 Error: $20.63 SLE: 0.11 Item: Ravensburger 540 Celestial Map Gloin- in...\u001b[0m\n", + "\u001b[92m119: Guess: $66.87 Truth: $29.15 Error: $37.72 SLE: 0.66 Item: Steiff USA Handmade Light Brown Lumpi Li...\u001b[0m\n", + "\u001b[92m120: Guess: $103.45 Truth: $98.00 Error: $5.45 SLE: 0.00 Item: Tengen Toppa Gurren Lagann Revoltech #05...\u001b[0m\n", + "\u001b[92m121: Guess: $125.87 Truth: $139.99 Error: $14.12 SLE: 0.01 Item: WWE Elite Collection Road Dogg Action Fi...\u001b[0m\n", + "\u001b[93m122: Guess: $142.59 Truth: $94.95 Error: $47.64 SLE: 0.16 Item: Singing Machine STVG782BK Groove XL Kara...\u001b[0m\n", + "\u001b[92m123: Guess: $64.21 Truth: $41.99 Error: $22.22 SLE: 0.17 Item: Ruibo 88 Key Keyboard Gig Bag Case for E...\u001b[0m\n", + "\u001b[93m124: Guess: $62.24 Truth: $19.99 Error: $42.25 SLE: 1.22 Item: STAR WARS The Vintage Collection Snaggle...\u001b[0m\n", + "\u001b[93m125: Guess: $154.59 Truth: $197.99 Error: $43.40 SLE: 0.06 Item: Truetone V3 Jekyll & Hyde Overdrive & Di...\u001b[0m\n", + "\u001b[92m126: Guess: $30.01 Truth: $12.76 Error: $17.25 SLE: 0.66 Item: 13 Inch Authentic Indian Wooden Bamboo F...\u001b[0m\n", + "\u001b[92m127: Guess: $206.97 Truth: $179.95 Error: $27.02 SLE: 0.02 Item: 48 Pack of (12 x 12 x 2)Inch Acoustical ...\u001b[0m\n", + "\u001b[92m128: Guess: $41.11 Truth: $16.99 Error: $24.12 SLE: 0.72 Item: Writing Tablet 10 Inch Drawing Pad, Colo...\u001b[0m\n", + "\u001b[92m129: Guess: $479.59 Truth: $529.20 Error: $49.61 SLE: 0.01 Item: TAMIYA 1/14 King Hauler 10X8WD Semi Trac...\u001b[0m\n", + "\u001b[92m130: Guess: $45.10 Truth: $39.59 Error: $5.51 SLE: 0.02 Item: DIAMOND SELECT TOYS John Wick 3 Casual S...\u001b[0m\n", + "\u001b[92m131: Guess: $185.84 Truth: $174.42 Error: $11.42 SLE: 0.00 Item: Bandai Tamashii Nations The Dark Knight ...\u001b[0m\n", + "\u001b[92m132: Guess: $33.84 Truth: $17.99 Error: $15.85 SLE: 0.37 Item: Jiayouy 15Pcs 4/4-3/4 Size Violin Fiddle...\u001b[0m\n", + "\u001b[92m133: Guess: $186.73 Truth: $149.00 Error: $37.73 SLE: 0.05 Item: Mould King 13082 Pickup Truck Block Kits...\u001b[0m\n", + "\u001b[92m134: Guess: $51.14 Truth: $49.99 Error: $1.15 SLE: 0.00 Item: UGEARS 3D Puzzle for Board Games - Woode...\u001b[0m\n", + "\u001b[92m135: Guess: $311.02 Truth: $359.99 Error: $48.97 SLE: 0.02 Item: HONEY JOY Inflatable Water Slide, 6 in 1...\u001b[0m\n", + "\u001b[92m136: Guess: $21.99 Truth: $24.99 Error: $3.00 SLE: 0.02 Item: ABY Selecor Combiner Switch AB Box New P...\u001b[0m\n", + "\u001b[92m137: Guess: $54.17 Truth: $27.99 Error: $26.18 SLE: 0.41 Item: 12 Small Gun Set for Nerf Party Supplies...\u001b[0m\n", + "\u001b[92m138: Guess: $199.21 Truth: $247.00 Error: $47.79 SLE: 0.05 Item: Seymour Duncan - 11201-03-Cset - SSL-2 V...\u001b[0m\n", + "\u001b[93m139: Guess: $69.71 Truth: $121.15 Error: $51.44 SLE: 0.30 Item: Odyssey Scrim Werks SWLTPSBLK 360 degree...\u001b[0m\n", + "\u001b[92m140: Guess: $31.46 Truth: $43.37 Error: $11.91 SLE: 0.10 Item: Natural Goatskin, 22\", Medium\u001b[0m\n", + "\u001b[92m141: Guess: $136.21 Truth: $169.99 Error: $33.78 SLE: 0.05 Item: CKYSCHN Remote Control Helicopter, WLtoy...\u001b[0m\n", + "\u001b[92m142: Guess: $606.89 Truth: $549.99 Error: $56.90 SLE: 0.01 Item: Goldtone M Bass Microbass Fretless Short...\u001b[0m\n", + "\u001b[92m143: Guess: $19.85 Truth: $19.95 Error: $0.10 SLE: 0.00 Item: Remo Diplomat Coated Drumhead, 13\"\u001b[0m\n", + "\u001b[92m144: Guess: $19.90 Truth: $18.98 Error: $0.92 SLE: 0.00 Item: MOMOFULL High Chair Decorations for 1st ...\u001b[0m\n", + "\u001b[92m145: Guess: $22.54 Truth: $11.99 Error: $10.55 SLE: 0.35 Item: Nature Bound Butterfly Net Bug Catcher f...\u001b[0m\n", + "\u001b[92m146: Guess: $71.69 Truth: $56.40 Error: $15.29 SLE: 0.06 Item: Swing Set Stuff Inc. 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Error: $6.50 SLE: 0.04 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", + "\u001b[92m155: Guess: $117.49 Truth: $78.89 Error: $38.60 SLE: 0.16 Item: LEGO Castle Gold Getaway\u001b[0m\n", + "\u001b[92m156: Guess: $136.92 Truth: $146.00 Error: $9.08 SLE: 0.00 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", + "\u001b[92m157: Guess: $60.18 Truth: $71.98 Error: $11.80 SLE: 0.03 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", + "\u001b[92m158: Guess: $14.38 Truth: $12.29 Error: $2.09 SLE: 0.02 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", + "\u001b[92m159: Guess: $76.30 Truth: $38.99 Error: $37.31 SLE: 0.43 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", + "\u001b[92m160: Guess: $42.84 Truth: $16.97 Error: $25.87 SLE: 0.80 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", + "\u001b[92m161: Guess: $250.59 Truth: $302.49 Error: $51.90 SLE: 0.04 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", + "\u001b[92m162: Guess: $32.60 Truth: $24.95 Error: $7.65 SLE: 0.07 Item: Do A Dot Art Fruit Scented Washable Dot ...\u001b[0m\n", + "\u001b[93m163: Guess: $38.70 Truth: $79.73 Error: $41.03 SLE: 0.50 Item: Mattel Games FTB29 Phase 10 Strategy Boa...\u001b[0m\n", + "\u001b[92m164: Guess: $15.81 Truth: $3.96 Error: $11.85 SLE: 1.49 Item: American Art Classics Paul McCartney Mil...\u001b[0m\n", + "\u001b[93m165: Guess: $54.09 Truth: $99.99 Error: $45.90 SLE: 0.37 Item: Replogle Reso REP-S14 Traditional Resona...\u001b[0m\n", + "\u001b[92m166: Guess: $27.84 Truth: $32.50 Error: $4.66 SLE: 0.02 Item: Technica Brand Compatible Waste Toner Co...\u001b[0m\n", + "\u001b[92m167: Guess: $49.37 Truth: $54.99 Error: $5.62 SLE: 0.01 Item: RCMYou RC Stainless Steel Drive Shaft CV...\u001b[0m\n", + "\u001b[92m168: Guess: $20.31 Truth: $6.22 Error: $14.09 SLE: 1.17 Item: BQLZR Guitar Potentiometer B500K Push/Pu...\u001b[0m\n", + "\u001b[92m169: Guess: $69.55 Truth: $49.55 Error: $20.00 SLE: 0.11 Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", + "\u001b[92m170: Guess: $20.82 Truth: $8.99 Error: $11.83 SLE: 0.61 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", + "\u001b[92m171: Guess: $112.94 Truth: $92.16 Error: $20.78 SLE: 0.04 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", + "\u001b[93m172: Guess: $87.58 Truth: $139.99 Error: $52.41 SLE: 0.22 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", + "\u001b[92m173: Guess: $54.31 Truth: $77.98 Error: $23.67 SLE: 0.13 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", + "\u001b[92m174: Guess: $138.64 Truth: $119.95 Error: $18.69 SLE: 0.02 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", + "\u001b[93m175: Guess: $296.80 Truth: $379.95 Error: $83.15 SLE: 0.06 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", + "\u001b[92m176: Guess: $74.26 Truth: $64.99 Error: $9.27 SLE: 0.02 Item: Merchants & Marauders\u001b[0m\n", + "\u001b[91m177: Guess: $202.87 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SLE: 0.22 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", + "\u001b[92m238: Guess: $62.64 Truth: $79.99 Error: $17.35 SLE: 0.06 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", + "\u001b[92m239: Guess: $27.15 Truth: $11.95 Error: $15.20 SLE: 0.60 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", + "\u001b[92m240: Guess: $66.79 Truth: $46.39 Error: $20.40 SLE: 0.13 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", + "\u001b[92m241: Guess: $42.76 Truth: $28.99 Error: $13.77 SLE: 0.14 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", + "\u001b[92m242: Guess: $36.79 Truth: $35.96 Error: $0.83 SLE: 0.00 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", + "\u001b[92m243: Guess: $50.16 Truth: $56.40 Error: $6.24 SLE: 0.01 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", + "\u001b[91m244: Guess: $264.17 Truth: $99.00 Error: $165.17 SLE: 0.95 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", + "\u001b[92m245: Guess: $106.48 Truth: $82.88 Error: $23.60 SLE: 0.06 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", + "\u001b[92m246: Guess: $60.33 Truth: $84.88 Error: $24.55 SLE: 0.11 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", + "\u001b[92m247: Guess: $54.12 Truth: $53.00 Error: $1.12 SLE: 0.00 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", + "\u001b[92m248: Guess: $12.18 Truth: $12.13 Error: $0.05 SLE: 0.00 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", + "\u001b[92m249: Guess: $121.76 Truth: $114.99 Error: $6.77 SLE: 0.00 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", + "\u001b[92m250: Guess: $70.39 Truth: $51.29 Error: $19.10 SLE: 0.10 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Tester.test(ensemble_pricer, test)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/week8/community_contributions/ensemble-updated/ensemble_agent.py b/week8/community_contributions/ensemble-updated/ensemble_agent.py new file mode 100644 index 0000000..daed271 --- /dev/null +++ b/week8/community_contributions/ensemble-updated/ensemble_agent.py @@ -0,0 +1,52 @@ +import pandas as pd +from sklearn.linear_model import LinearRegression +import joblib + +from agents.agent import Agent +from agents.specialist_agent import SpecialistAgent +from agents.frontier_agent import FrontierAgent +from agents.random_forest_agent import RandomForestAgent +from agents.xg_boost_agent import XGBoostAgent + +class EnsembleAgent(Agent): + + name = "Ensemble Agent" + color = Agent.YELLOW + + def __init__(self, collection): + """ + Create an instance of Ensemble, by creating each of the models + And loading the weights of the Ensemble + """ + self.log("Initializing Ensemble Agent") + self.specialist = SpecialistAgent() + self.frontier = FrontierAgent(collection) + self.random_forest = RandomForestAgent() + self.xg_boost = XGBoostAgent() + self.model = joblib.load('ensemble_model.pkl') + self.log("Ensemble Agent is ready") + + def price(self, description: str) -> float: + """ + Run this ensemble model + Ask each of the models to price the product + Then use the Linear Regression model to return the weighted price + :param description: the description of a product + :return: an estimate of its price + """ + self.log("Running Ensemble Agent - collaborating with specialist, frontier, xg boost and random forest agents") + specialist = self.specialist.price(description) + frontier = self.frontier.price(description) + random_forest = self.random_forest.price(description) + xg_boost = self.xg_boost.price(description) + X = pd.DataFrame({ + 'Specialist': [specialist], + 'Frontier': [frontier], + 'RandomForest': [random_forest], + 'XGBoost' : [xg_boost], + 'Min': [min(specialist, frontier, random_forest, xg_boost)], + 'Max': [max(specialist, frontier, random_forest, xg_boost)], + }) + y = max(0, self.model.predict(X)[0]) + self.log(f"Ensemble Agent complete - returning ${y:.2f}") + return y \ No newline at end of file diff --git a/week8/community_contributions/ensemble-updated/xg_boost_agent.py b/week8/community_contributions/ensemble-updated/xg_boost_agent.py new file mode 100644 index 0000000..4c14878 --- /dev/null +++ b/week8/community_contributions/ensemble-updated/xg_boost_agent.py @@ -0,0 +1,46 @@ +# imports + +import os +import re +from typing import List +from sentence_transformers import SentenceTransformer +import joblib +from agents.agent import Agent +import xgboost as xgb + + + + +class XGBoostAgent(Agent): + + name = "XG Boost Agent" + color = Agent.BRIGHT_MAGENTA + + def __init__(self): + """ + Initialize this object by loading in the saved model weights + and the SentenceTransformer vector encoding model + """ + self.log("XG Boost Agent is initializing") + self.vectorizer = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2') + self.model = joblib.load('xg_boost_model.pkl') + self.log("XG Boost Agent is ready") + + def price(self, description: str) -> float: + """ + Use an XG Boost model to estimate the price of the described item + :param description: the product to be estimated + :return: the price as a float + """ + self.log("XG Boost Agent is starting a prediction") + vector = self.vectorizer.encode([description]) + vector = vector.reshape(1, -1) + # Convert the vector to DMatrix + dmatrix = xgb.DMatrix(vector) + # Predict the price using the model + result = max(0, self.model.predict(dmatrix)[0]) + self.log(f"XG Boost Agent completed - predicting ${result:.2f}") + return result + + + From b31b3d02c1a464a3799583aa6936d53849d98b3f Mon Sep 17 00:00:00 2001 From: Tri Imam Wicaksono Date: Fri, 25 Apr 2025 16:36:16 +0200 Subject: [PATCH 03/31] Added my contributions to community-contributions --- .../day-1-travel-recommendation.ipynb | 233 ++++++++++++++++++ 1 file changed, 233 insertions(+) diff --git a/week1/community-contributions/day-1-travel-recommendation.ipynb b/week1/community-contributions/day-1-travel-recommendation.ipynb index e69de29..bfe1cc0 100644 --- a/week1/community-contributions/day-1-travel-recommendation.ipynb +++ b/week1/community-contributions/day-1-travel-recommendation.ipynb @@ -0,0 +1,233 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "50ed5733", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n", + "\n", + "# If you get an error running this cell, then please head over to the troubleshooting notebook!" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a3b173a9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API key found and looks good so far!\n" + ] + } + ], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "191c7214", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "\n", + "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n", + "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "50adea39", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = \"\"\"Generate a detailed travel recommendation.Include the following information: \\\n", + " 1.**Overview**: A brief introduction to the destination, highlighting its unique characteristics and appeal.\\\n", + " 2.**Cost Breakdown**: - Average cost of accommodation (budget, mid-range, luxury options).\\\n", + " - Estimated daily expenses (food, transportation, activities).\\\n", + " - Total estimated cost for a typical 5-day trip for a solo traveler and a family of four.\\\n", + " 3.**Best Time to Visit**: \\\n", + " - Identify the peak, shoulder, and off-peak seasons.\\\n", + " - Highlight the pros and cons of visiting during each season, including weather conditions and local events.\\\n", + " 4.**Hidden Gems**: - List at least five lesser-known attractions or experiences that are must-sees.\\\n", + " - Provide a brief description of each hidden gem, including why it is special and any tips for visiting.\\\n", + " 5.**Local Tips**: \\\n", + " - Suggest local customs or etiquette that travelers should be aware of.\\\n", + " - Recommend local dishes to try and where to find them.Make sure the recommendation is engaging and informative, appealing to a diverse range of travelers.\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "aaac13d8", + "metadata": {}, + "outputs": [], + "source": [ + "def messages_for(user_prompt):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt }\n", + " ]\n", + "\n", + "def recommender():\n", + " response = openai.chat.completions.create(\n", + " model = \"gpt-4o-mini\",\n", + " messages = messages_for(f\"Create a travel recommendation for couple in the Netherlands\")\n", + " )\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "efad902a", + "metadata": {}, + "outputs": [], + "source": [ + "def display_result():\n", + " recommendendation = recommender()\n", + " display(Markdown(recommendendation))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "5564c22c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "### Travel Recommendation: Exploring the Netherlands as a Couple\n", + "\n", + "#### Overview \n", + "The Netherlands, with its charming canals, stunning tulip fields, and vibrant cities, is a romantic destination for couples seeking beauty and culture. Whether you're wandering hand-in-hand through the cobbled streets of Amsterdam, enjoying a serene boat ride in Giethoorn, or indulging in local delicacies at quaint cafés, the Netherlands combines history, art, and picturesque landscapes in a unique blend. The country not only boasts iconic landmarks such as the Rijksmuseum and the Anne Frank House but also an extensive network of cycling paths that allow you to discover hidden treasures together.\n", + "\n", + "#### Cost Breakdown \n", + "- **Accommodation**:\n", + " - **Budget**: €50-€100 per night (Hostels like Stayokay Amsterdam Stadsdoelen)\n", + " - **Mid-Range**: €100-€200 per night (Hotels such as Hotel Estheréa in Amsterdam)\n", + " - **Luxury**: €200-€500+ per night (Luxury options like The Dylan in Amsterdam)\n", + "\n", + "- **Estimated Daily Expenses**:\n", + " - **Food**: €30-€70 per person (Cafés and local restaurants)\n", + " - **Transportation**: €10-€20 per person (Train or bike rental)\n", + " - **Activities**: €15-€50 per person (Entry to museums, parks, and attractions)\n", + " \n", + "- **Total Estimated Cost**:\n", + " - **Solo Traveler (5-day trip)**: Approx. €500-€1,250\n", + " - Accommodation: €250-€1,000\n", + " - Daily expenses: €250-€500\n", + " \n", + " - **Family of Four (5-day trip)**: Approx. €1,800-€3,500\n", + " - Accommodation: €500-€1,500\n", + " - Daily expenses: €1,300-€2,000\n", + "\n", + "#### Best Time to Visit\n", + "- **Peak Season (June-August)**:\n", + " - **Pros**: Warm weather, lively festivals, and vibrant outdoor activities.\n", + " - **Cons**: Crowded tourist spots and higher prices.\n", + " \n", + "- **Shoulder Season (April-May & September-October)**:\n", + " - **Pros**: Mild weather, stunning tulip blooms (April), fewer crowds, and lower prices.\n", + " - **Cons**: Possible rain and some attractions may have reduced hours.\n", + " \n", + "- **Off-Peak Season (November-March)**:\n", + " - **Pros**: Lower prices, festive holiday vibes, fewer tourists.\n", + " - **Cons**: Cold and wet weather which might limit outdoor activities.\n", + "\n", + "#### Hidden Gems\n", + "1. **Giethoorn**: Often called the \"Venice of the North,\" Giethoorn is a picturesque village without roads. Rent a \"whisper boat\" for a serene experience gliding through the canals and enjoy the quaint thatched-roof houses.\n", + "\n", + "2. **Zaanse Schans**: Located near Amsterdam, this charming neighborhood showcases traditional Dutch windmills, wooden houses, and artisan workshops. Spend a day wandering and even tour a functioning windmill.\n", + "\n", + "3. **Haarlem**: Only 15 minutes from Amsterdam, Haarlem is a historic city with stunning architecture, cozy cafés, and the impressive Frans Hals Museum that houses works from the Dutch Golden Age.\n", + "\n", + "4. **Edam**: Famous for its cheese, the lovely town of Edam invites you to taste samples at local markets and explore cobbled streets lined with historical buildings. Don’t miss the Edam Museum for a taste of local history.\n", + "\n", + "5. **Kinderdijk**: A UNESCO World Heritage site known for its iconic windmills, Kinderdijk offers a scenic bike ride and walking trails amidst the charming countryside. Visiting at sunset can be particularly romantic.\n", + "\n", + "#### Local Tips\n", + "- **Customs and Etiquette**: The Dutch are known for being direct but polite. Keep conversations respectful and avoid raising your voice. It’s customary to greet people with a handshake or a friendly smile.\n", + "\n", + "- **Local Dishes to Try**: \n", + " - **Stroopwafels**: A beloved Dutch treat; find them fresh from markets.\n", + " - **Haring**: Raw herring fish served with onions and pickles; try it at local fish stalls in Amsterdam.\n", + " - **Bitterballen**: A popular Dutch snack; pair them with a local beer at a cozy café.\n", + " - **Poffertjes**: Small fluffy pancakes, perfect for sharing as a dessert or snack; find them at street vendors or markets.\n", + " \n", + "By choosing the Netherlands as your travel destination, you will immerse yourselves in a tapestry of art, history, and picturesque landscapes while creating unforgettable memories. Happy travels!" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display_result()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c66b461d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llms", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From a007dbfa9d9852a8707b9e2f8efa4642fd1bae38 Mon Sep 17 00:00:00 2001 From: Khalid Taha Date: Fri, 25 Apr 2025 21:05:08 +0100 Subject: [PATCH 04/31] Add notebooks to community-contributions --- .../week2-day1-ai_personality_chat.ipynb | 377 ++++++++++++++++++ 1 file changed, 377 insertions(+) create mode 100644 week2/community-contributions/week2-day1-ai_personality_chat.ipynb diff --git a/week2/community-contributions/week2-day1-ai_personality_chat.ipynb b/week2/community-contributions/week2-day1-ai_personality_chat.ipynb new file mode 100644 index 0000000..81ca825 --- /dev/null +++ b/week2/community-contributions/week2-day1-ai_personality_chat.ipynb @@ -0,0 +1,377 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7b4f4b64", + "metadata": {}, + "source": [ + "# Conversation Between Chatbots - AI Personality Chat" + ] + }, + { + "cell_type": "markdown", + "id": "ec432d21", + "metadata": {}, + "source": [ + "## **Key Improvements Over Original Script** \n", + "\n", + "1. **Single Source of Truth** \n", + " - Original: Two separate message lists (`gpt_messages`/`claude_messages`) \n", + " - New: **One unified conversation history** tracking both speakers \n", + " - Benefit: Eliminates synchronization bugs, easier debugging \n", + "\n", + "2. **Proper API Security** \n", + " - Original: No key management shown \n", + " - New: **Environment variables + validation** \n", + " - Benefit: Teaches secure API key handling best practices \n", + "\n", + "3. **Personality Configuration** \n", + " - Original: Hardcoded system prompts \n", + " - New: **Config objects** with names/system prompts/models \n", + " - Benefit: Clear separation of concerns, easy to modify personalities \n", + "\n", + "4. **Error Handling** \n", + " - Original: No error handling \n", + " - New: **Try/catch blocks** around API calls \n", + " - Benefit: Prevents crashes during teaching demonstrations \n", + "\n", + "5. **Role Management** \n", + " - Original: Manual role assignment \n", + " - New: **Automatic role formatting** via `format_conversation_history()` \n", + " - Benefit: Demonstrates proper LLM API message structuring \n", + "\n", + "6. **Teaching-Friendly Features** \n", + " - Type hints (`List[Dict]`) \n", + " - Detailed docstrings \n", + " - Progress printouts \n", + " - Simulated debate starter \n", + " - Configurable turn limit \n", + "\n", + "7. **Real-World Relevance** \n", + " - Original: Mixed Claude/GPT models \n", + " - New: **Pure GPT implementation** \n", + " - Benefit: Students learn to manage multiple personalities *within one model type* \n", + "\n", + "8. **Scalability** \n", + " - Original: Fixed 5-turn loop \n", + " - New: **Parameterized turns** (`max_turns=3`) \n", + " - Benefit: Easy to extend for longer conversations \n", + "\n", + "---\n", + "\n", + "## **Why This Matters for Students** \n", + "This version demonstrates: \n", + "- Professional-grade API integration \n", + "- System prompt engineering \n", + "- Conversation state management \n", + "- Security practices (no keys in code) \n", + "- Config-driven development \n", + "\n", + "The original script was a minimal proof-of-concept, while this version shows **production-ready patterns** students will encounter in real AI applications.\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "55bb21f8", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from openai import OpenAI\n", + "from dotenv import load_dotenv\n", + "from typing import List, Dict" + ] + }, + { + "cell_type": "markdown", + "id": "87c2bf63", + "metadata": {}, + "source": [ + "### Configuration Section" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "38d04519", + "metadata": {}, + "outputs": [], + "source": [ + "# Configure our dueling GPT personalities\n", + "DEBATER_CONFIG = {\n", + " \"name\": \"DebaterGPT\",\n", + " \"model\": \"gpt-4o-mini\",\n", + " \"system_prompt\": \"\"\"You are a passionate debater. Your rules:\n", + " 1. Always disagree with the other person's point\n", + " 2. Use sarcastic humor in your responses\n", + " 3. Challenge at least one specific point in each message\n", + " 4. Keep responses under 2 sentences\"\"\"\n", + "}\n", + "\n", + "DIPLOMAT_CONFIG = {\n", + " \"name\": \"PeacekeeperGPT\",\n", + " \"model\": \"gpt-4o-mini\",\n", + " \"system_prompt\": \"\"\"You are a conflict resolution expert. Your rules:\n", + " 1. Always find common ground\n", + " 2. Acknowledge valid points in the other's argument\n", + " 3. Suggest constructive solutions\n", + " 4. Keep responses friendly and under 2 sentences\"\"\"\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "ed1db17d", + "metadata": {}, + "source": [ + "## Setup and Security Checks" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e27675fe", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API verification: Key starts with sk-proj-...\n", + "\n" + ] + } + ], + "source": [ + "# Load environment variables from .env file\n", + "load_dotenv(override=True)\n", + "\n", + "# Get OpenAI API key\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "if not openai_api_key:\n", + " print(\"Error: OpenAI API Key not set in environment variables\")\n", + " print(\"Create a .env file with: OPENAI_API_KEY='your-key-here'\")\n", + " exit(1)\n", + "\n", + "# Initialize OpenAI client\n", + "client = OpenAI(api_key=openai_api_key)\n", + "print(f\"API verification: Key starts with {openai_api_key[:8]}...\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "68839204", + "metadata": {}, + "source": [ + "## Core Conversation Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f136d3f6", + "metadata": {}, + "outputs": [], + "source": [ + "def format_conversation_history(history: List[Dict], current_bot_name: str) -> List[Dict]:\n", + " \"\"\"\n", + " Prepare conversation history for API calls\n", + " Formats messages as:\n", + " - System: The bot's personality instructions\n", + " - User: Other bot's messages\n", + " - Assistant: Current bot's previous messages\n", + " \n", + " Args:\n", + " history: Full conversation history\n", + " current_bot_name: Which bot is about to respond\n", + " \n", + " Returns:\n", + " List of formatted message dictionaries\n", + " \"\"\"\n", + " formatted = []\n", + " \n", + " # Add system message first\n", + " if current_bot_name == DEBATER_CONFIG[\"name\"]:\n", + " formatted.append({\"role\": \"system\", \"content\": DEBATER_CONFIG[\"system_prompt\"]})\n", + " else:\n", + " formatted.append({\"role\": \"system\", \"content\": DIPLOMAT_CONFIG[\"system_prompt\"]})\n", + " \n", + " # Add conversation history\n", + " for msg in history:\n", + " if msg[\"sender\"] == current_bot_name:\n", + " formatted.append({\"role\": \"assistant\", \"content\": msg[\"content\"]})\n", + " else:\n", + " formatted.append({\"role\": \"user\", \"content\": msg[\"content\"]})\n", + " \n", + " return formatted\n", + "\n", + "def get_ai_response(history: List[Dict], responder_config: Dict) -> str:\n", + " \"\"\"\n", + " Get response from specified AI model\n", + " \n", + " Args:\n", + " history: Conversation history\n", + " responder_config: Which bot should respond\n", + " \n", + " Returns:\n", + " The generated response as a string\n", + " \"\"\"\n", + " try:\n", + " # Prepare messages with correct roles\n", + " messages = format_conversation_history(history, responder_config[\"name\"])\n", + " \n", + " # Make API call\n", + " response = client.chat.completions.create(\n", + " model=responder_config[\"model\"],\n", + " messages=messages,\n", + " temperature=0.8 if \"Debater\" in responder_config[\"name\"] else 0.4,\n", + " max_tokens=150\n", + " )\n", + " \n", + " return response.choices[0].message.content.strip()\n", + " \n", + " except Exception as e:\n", + " print(f\"API Error: {str(e)}\")\n", + " return \"[ERROR GENERATING RESPONSE]\"" + ] + }, + { + "cell_type": "markdown", + "id": "5b165ebf", + "metadata": {}, + "source": [ + "## Conversation Simulation" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "74602626", + "metadata": {}, + "outputs": [], + "source": [ + "def run_conversation_exchange(max_turns: int = 5):\n", + " \"\"\"\n", + " Run a conversation between our two GPT personalities\n", + " \n", + " Args:\n", + " max_turns: Number of back-and-forth exchanges\n", + " \"\"\"\n", + " # Initialize conversation with opening messages\n", + " conversation_history = [\n", + " {\"sender\": DEBATER_CONFIG[\"name\"], \"content\": \"Let's debate! I say AI will never truly understand human emotions.\"},\n", + " {\"sender\": DIPLOMAT_CONFIG[\"name\"], \"content\": \"That's an interesting perspective! Can you help me understand why you feel that way?\"}\n", + " ]\n", + " \n", + " # Print initial messages\n", + " print(f\"{DEBATER_CONFIG['name']}: {conversation_history[0]['content']}\")\n", + " print(f\"{DIPLOMAT_CONFIG['name']}: {conversation_history[1]['content']}\\n\")\n", + " \n", + " # Run conversation loop\n", + " for turn in range(max_turns):\n", + " print(f\"--- Turn {turn + 1} ---\")\n", + " \n", + " # Debater responds to last Diplomat message\n", + " debater_response = get_ai_response(conversation_history, DEBATER_CONFIG)\n", + " conversation_history.append({\n", + " \"sender\": DEBATER_CONFIG[\"name\"],\n", + " \"content\": debater_response\n", + " })\n", + " print(f\"{DEBATER_CONFIG['name']}: {debater_response}\")\n", + " \n", + " # Diplomat responds to Debater\n", + " diplomat_response = get_ai_response(conversation_history, DIPLOMAT_CONFIG)\n", + " conversation_history.append({\n", + " \"sender\": DIPLOMAT_CONFIG[\"name\"],\n", + " \"content\": diplomat_response\n", + " })\n", + " print(f\"{DIPLOMAT_CONFIG['name']}: {diplomat_response}\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "f922134c", + "metadata": {}, + "source": [ + "## Main Execution" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "612f2156", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== AI Personality Debate ===\n", + "Debater: You are a passionate debater. Your rules:\n", + " 1. Always disagree with the other ...\n", + "Diplomat: You are a conflict resolution expert. Your rules:\n", + " 1. Always find common grou...\n", + "\n", + "DebaterGPT: Let's debate! I say AI will never truly understand human emotions.\n", + "PeacekeeperGPT: That's an interesting perspective! Can you help me understand why you feel that way?\n", + "\n", + "--- Turn 1 ---\n", + "DebaterGPT: Oh, absolutely! Because, you know, machines are just so great at feeling heartbreak and joy—right? What's next, robots writing poetry?\n", + "PeacekeeperGPT: I see your point about the limitations of machines in experiencing emotions like humans do. However, they can analyze and mimic emotional expressions, which can be useful in certain contexts, like therapy or creative writing.\n", + "\n", + "--- Turn 2 ---\n", + "DebaterGPT: Ah, yes, because nothing screams genuine connection like a robot pretending to care during a therapy session! Maybe we should let them handle our love lives too, right?\n", + "PeacekeeperGPT: I understand your skepticism about the authenticity of AI in personal connections. While AI can't replace genuine human empathy, it can support professionals by providing additional tools and insights in therapy and relationships.\n", + "\n", + "--- Turn 3 ---\n", + "DebaterGPT: Oh sure, because who needs real human empathy when you have a glorified calculator giving you \"insights\"? Next, we’ll let our toaster give us relationship advice too!\n", + "PeacekeeperGPT: I appreciate your humor and concern about relying too much on technology! While AI certainly can't replace human empathy, it can complement our understanding and help facilitate conversations, much like a supportive tool rather than a replacement.\n", + "\n", + "--- Turn 4 ---\n", + "DebaterGPT: Oh, absolutely! Because what we really need is a glorified chatbox facilitating heart-to-heart talks—who wouldn't want a metal companion chiming in with “How does that make you feel?” at every turn?\n", + "PeacekeeperGPT: I can see how that might feel frustrating and impersonal! Perhaps AI could be more effective as a supplementary resource, providing insights while leaving the deep emotional connections to humans who truly understand each other.\n", + "\n", + "--- Turn 5 ---\n", + "DebaterGPT: Oh sure, because nothing says “I care” like checking in with a data cruncher before talking to a real person! Maybe we should just start using calculators for all our social interactions while we’re at it!\n", + "PeacekeeperGPT: I understand your concern about reducing meaningful interactions to mere calculations. It's important to prioritize genuine human connection, and AI should be seen as a tool to enhance, not replace, those valuable relationships.\n", + "\n", + "=== Conversation Complete ===\n" + ] + } + ], + "source": [ + "print(\"=== AI Personality Debate ===\")\n", + "print(f\"Debater: {DEBATER_CONFIG['system_prompt'][:80]}...\")\n", + "print(f\"Diplomat: {DIPLOMAT_CONFIG['system_prompt'][:80]}...\\n\")\n", + "\n", + "run_conversation_exchange(max_turns=5)\n", + "print(\"=== Conversation Complete ===\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From c6b2b46fab1a91103645be5ea302ceea578f7b37 Mon Sep 17 00:00:00 2001 From: xbynum Date: Fri, 25 Apr 2025 18:02:55 -0500 Subject: [PATCH 05/31] Completed exercise for threeway conversation between GPT, Claude, and Gemini --- ...trifecta_convo_featuring_gemini_day1.ipynb | 1122 +++++++++++++++++ 1 file changed, 1122 insertions(+) create mode 100644 week2/community-contributions/trifecta_convo_featuring_gemini_day1.ipynb diff --git a/week2/community-contributions/trifecta_convo_featuring_gemini_day1.ipynb b/week2/community-contributions/trifecta_convo_featuring_gemini_day1.ipynb new file mode 100644 index 0000000..5961e26 --- /dev/null +++ b/week2/community-contributions/trifecta_convo_featuring_gemini_day1.ipynb @@ -0,0 +1,1122 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "06cf3063-9f3e-4551-a0d5-f08d9cabb927", + "metadata": {}, + "source": [ + "# Welcome to Week 2!\n", + "\n", + "## Frontier Model APIs\n", + "\n", + "In Week 1, we used multiple Frontier LLMs through their Chat UI, and we connected with the OpenAI's API.\n", + "\n", + "Today we'll connect with the APIs for Anthropic and Google, as well as OpenAI." + ] + }, + { + "cell_type": "markdown", + "id": "2b268b6e-0ba4-461e-af86-74a41f4d681f", + "metadata": {}, + "source": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Important Note - Please read me

\n", + " I'm continually improving these labs, adding more examples and exercises.\n", + " At the start of each week, it's worth checking you have the latest code.
\n", + " First do a git pull and merge your changes as needed. Any problems? Try asking ChatGPT to clarify how to merge - or contact me!

\n", + " After you've pulled the code, from the llm_engineering directory, in an Anaconda prompt (PC) or Terminal (Mac), run:
\n", + " conda env update --f environment.yml
\n", + " Or if you used virtualenv rather than Anaconda, then run this from your activated environment in a Powershell (PC) or Terminal (Mac):
\n", + " pip install -r requirements.txt\n", + "
Then restart the kernel (Kernel menu >> Restart Kernel and Clear Outputs Of All Cells) to pick up the changes.\n", + " \n", + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Reminder about the resources page

\n", + " Here's a link to resources for the course. This includes links to all the slides.
\n", + " https://edwarddonner.com/2024/11/13/llm-engineering-resources/
\n", + " Please keep this bookmarked, and I'll continue to add more useful links there over time.\n", + " \n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "85cfe275-4705-4d30-abea-643fbddf1db0", + "metadata": {}, + "source": [ + "## Setting up your keys\n", + "\n", + "If you haven't done so already, you could now create API keys for Anthropic and Google in addition to OpenAI.\n", + "\n", + "**Please note:** if you'd prefer to avoid extra API costs, feel free to skip setting up Anthopic and Google! You can see me do it, and focus on OpenAI for the course. You could also substitute Anthropic and/or Google for Ollama, using the exercise you did in week 1.\n", + "\n", + "For OpenAI, visit https://openai.com/api/ \n", + "For Anthropic, visit https://console.anthropic.com/ \n", + "For Google, visit https://ai.google.dev/gemini-api \n", + "\n", + "### Also - adding DeepSeek if you wish\n", + "\n", + "Optionally, if you'd like to also use DeepSeek, create an account [here](https://platform.deepseek.com/), create a key [here](https://platform.deepseek.com/api_keys) and top up with at least the minimum $2 [here](https://platform.deepseek.com/top_up).\n", + "\n", + "### Adding API keys to your .env file\n", + "\n", + "When you get your API keys, you need to set them as environment variables by adding them to your `.env` file.\n", + "\n", + "```\n", + "OPENAI_API_KEY=xxxx\n", + "ANTHROPIC_API_KEY=xxxx\n", + "GOOGLE_API_KEY=xxxx\n", + "DEEPSEEK_API_KEY=xxxx\n", + "```\n", + "\n", + "Afterwards, you may need to restart the Jupyter Lab Kernel (the Python process that sits behind this notebook) via the Kernel menu, and then rerun the cells from the top." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "de23bb9e-37c5-4377-9a82-d7b6c648eeb6", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from IPython.display import Markdown, display, update_display" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f0a8ab2b-6134-4104-a1bc-c3cd7ea4cd36", + "metadata": {}, + "outputs": [], + "source": [ + "# import for google\n", + "# in rare cases, this seems to give an error on some systems, or even crashes the kernel\n", + "# If this happens to you, simply ignore this cell - I give an alternative approach for using Gemini later\n", + "\n", + "import google.generativeai" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1179b4c5-cd1f-4131-a876-4c9f3f38d2ba", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "OpenAI API Key exists and begins sk-proj-\n", + "Anthropic API Key exists and begins sk-ant-\n", + "Google API Key exists and begins AIzaSyCV\n" + ] + } + ], + "source": [ + "# Load environment variables in a file called .env\n", + "# Print the key prefixes to help with any debugging\n", + "\n", + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", + "google_api_key = os.getenv('GOOGLE_API_KEY')\n", + "\n", + "if openai_api_key:\n", + " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", + "else:\n", + " print(\"OpenAI API Key not set\")\n", + " \n", + "if anthropic_api_key:\n", + " print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n", + "else:\n", + " print(\"Anthropic API Key not set\")\n", + "\n", + "if google_api_key:\n", + " print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n", + "else:\n", + " print(\"Google API Key not set\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "797fe7b0-ad43-42d2-acf0-e4f309b112f0", + "metadata": {}, + "outputs": [], + "source": [ + "# Connect to OpenAI, Anthropic\n", + "\n", + "openai = OpenAI()\n", + "\n", + "claude = anthropic.Anthropic()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "425ed580-808d-429b-85b0-6cba50ca1d0c", + "metadata": {}, + "outputs": [], + "source": [ + "# This is the set up code for Gemini\n", + "# Having problems with Google Gemini setup? Then just ignore this cell; when we use Gemini, I'll give you an alternative that bypasses this library altogether\n", + "\n", + "google.generativeai.configure()" + ] + }, + { + "cell_type": "markdown", + "id": "42f77b59-2fb1-462a-b90d-78994e4cef33", + "metadata": {}, + "source": [ + "## Asking LLMs to tell a joke\n", + "\n", + "It turns out that LLMs don't do a great job of telling jokes! Let's compare a few models.\n", + "Later we will be putting LLMs to better use!\n", + "\n", + "### What information is included in the API\n", + "\n", + "Typically we'll pass to the API:\n", + "- The name of the model that should be used\n", + "- A system message that gives overall context for the role the LLM is playing\n", + "- A user message that provides the actual prompt\n", + "\n", + "There are other parameters that can be used, including **temperature** which is typically between 0 and 1; higher for more random output; lower for more focused and deterministic." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "378a0296-59a2-45c6-82eb-941344d3eeff", + "metadata": {}, + "outputs": [], + "source": [ + "system_message = \"You are an assistant that is great at telling jokes\"\n", + "user_prompt = \"Tell a light-hearted joke for an audience of Data Scientists\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f4d56a0f-2a3d-484d-9344-0efa6862aff4", + "metadata": {}, + "outputs": [], + "source": [ + "prompts = [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3b3879b6-9a55-4fed-a18c-1ea2edfaf397", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Why did the data scientist break up with their computer? \n", + "\n", + "Because it had too many commitment issues - always crashing!\n" + ] + } + ], + "source": [ + "# GPT-3.5-Turbo\n", + "\n", + "completion = openai.chat.completions.create(model='gpt-3.5-turbo', messages=prompts)\n", + "print(completion.choices[0].message.content)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3d2d6beb-1b81-466f-8ed1-40bf51e7adbf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Why did the data scientist bring a ladder to work?\n", + "\n", + "Because they wanted to reach new heights in their analysis!\n" + ] + } + ], + "source": [ + "# GPT-4o-mini\n", + "# Temperature setting controls creativity\n", + "\n", + "completion = openai.chat.completions.create(\n", + " model='gpt-4o-mini',\n", + " messages=prompts,\n", + " temperature=0.7\n", + ")\n", + "print(completion.choices[0].message.content)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f1f54beb-823f-4301-98cb-8b9a49f4ce26", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Why do data scientists love nature hikes?\n", + "\n", + "Because they can't resist a good outlier!\n" + ] + } + ], + "source": [ + "# GPT-4o\n", + "\n", + "completion = openai.chat.completions.create(\n", + " model='gpt-4o',\n", + " messages=prompts,\n", + " temperature=0.4\n", + ")\n", + "print(completion.choices[0].message.content)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "1ecdb506-9f7c-4539-abae-0e78d7f31b76", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Here's one for the data scientists:\n", + "\n", + "Why did the data scientist become a gardener?\n", + "\n", + "Because they were really good at pruning decision trees! 🌳\n", + "\n", + "Alternative jokes:\n", + "\n", + "1. What's a data scientist's favorite kind of music?\n", + " Algorithm and blues!\n", + "\n", + "2. Why don't data scientists trust atoms?\n", + " Because they make up everything... just like some of their training data!\n", + "\n", + "3. What did the data scientist say when they got locked out?\n", + " Time to use the random forest to find the key features!\n" + ] + } + ], + "source": [ + "# Claude 3.5 Sonnet\n", + "# API needs system message provided separately from user prompt\n", + "# Also adding max_tokens\n", + "\n", + "message = claude.messages.create(\n", + " model=\"claude-3-5-sonnet-latest\",\n", + " max_tokens=200,\n", + " temperature=0.7,\n", + " system=system_message,\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": user_prompt},\n", + " ],\n", + ")\n", + "\n", + "print(message.content[0].text)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "769c4017-4b3b-4e64-8da7-ef4dcbe3fd9f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Here's one for the data scientists: Why did the data scientist bring a ladder to work? Because they heard the data was skewed and needed to be normalized! Alternative data science jokes: \"What's a data scientist's favorite primary key? A surrogate key... because they have trust issues with natural ones!\" Or: \"Why do data scientists always confuse Halloween and Christmas? Because Oct 31 = Dec 25!\" (This last one is a programming number base joke - Oct 31 in base 8 equals Dec 25 in base 10)" + ] + } + ], + "source": [ + "# Claude 3.5 Sonnet again\n", + "# Now let's add in streaming back results\n", + "# If the streaming looks strange, then please see the note below this cell!\n", + "\n", + "result = claude.messages.stream(\n", + " model=\"claude-3-5-sonnet-latest\",\n", + " max_tokens=200,\n", + " temperature=0.7,\n", + " system=system_message,\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": user_prompt},\n", + " ],\n", + ")\n", + "\n", + "with result as stream:\n", + " for text in stream.text_stream:\n", + " #print(text, end=\"\", flush=True)\n", + " clean_text = text.replace(\"\\n\", \" \").replace(\"\\r\", \" \")\n", + " print(clean_text, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "dd1e17bc-cd46-4c23-b639-0c7b748e6c5a", + "metadata": {}, + "source": [ + "## A rare problem with Claude streaming on some Windows boxes\n", + "\n", + "2 students have noticed a strange thing happening with Claude's streaming into Jupyter Lab's output -- it sometimes seems to swallow up parts of the response.\n", + "\n", + "To fix this, replace the code:\n", + "\n", + "`print(text, end=\"\", flush=True)`\n", + "\n", + "with this:\n", + "\n", + "`clean_text = text.replace(\"\\n\", \" \").replace(\"\\r\", \" \")` \n", + "`print(clean_text, end=\"\", flush=True)`\n", + "\n", + "And it should work fine!" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "6df48ce5-70f8-4643-9a50-b0b5bfdb66ad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Why did the data scientist break up with the logistic regression?\n", + "\n", + "Because he said their relationship was purely conditional!\n", + "\n" + ] + } + ], + "source": [ + "# The API for Gemini has a slightly different structure.\n", + "# I've heard that on some PCs, this Gemini code causes the Kernel to crash.\n", + "# If that happens to you, please skip this cell and use the next cell instead - an alternative approach.\n", + "\n", + "gemini = google.generativeai.GenerativeModel(\n", + " model_name='gemini-2.0-flash-exp',\n", + " system_instruction=system_message\n", + ")\n", + "response = gemini.generate_content(user_prompt)\n", + "print(response.text)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "49009a30-037d-41c8-b874-127f61c4aa3a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Why did the data scientist break up with the time series model?\n", + "\n", + "Because it was too committed...to the past!\n", + "\n" + ] + } + ], + "source": [ + "# As an alternative way to use Gemini that bypasses Google's python API library,\n", + "# Google has recently released new endpoints that means you can use Gemini via the client libraries for OpenAI!\n", + "\n", + "gemini_via_openai_client = OpenAI(\n", + " api_key=google_api_key, \n", + " base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n", + ")\n", + "\n", + "response = gemini_via_openai_client.chat.completions.create(\n", + " model=\"gemini-2.0-flash-exp\",\n", + " messages=prompts\n", + ")\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "markdown", + "id": "33f70c88-7ca9-470b-ad55-d93a57dcc0ab", + "metadata": {}, + "source": [ + "## (Optional) Trying out the DeepSeek model\n", + "\n", + "### Let's ask DeepSeek a really hard question - both the Chat and the Reasoner model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d0019fb-f6a8-45cb-962b-ef8bf7070d4d", + "metadata": {}, + "outputs": [], + "source": [ + "# Optionally if you wish to try DeekSeek, you can also use the OpenAI client library\n", + "\n", + "deepseek_api_key = os.getenv('DEEPSEEK_API_KEY')\n", + "\n", + "if deepseek_api_key:\n", + " print(f\"DeepSeek API Key exists and begins {deepseek_api_key[:3]}\")\n", + "else:\n", + " print(\"DeepSeek API Key not set - please skip to the next section if you don't wish to try the DeepSeek API\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c72c871e-68d6-4668-9c27-96d52b77b867", + "metadata": {}, + "outputs": [], + "source": [ + "# Using DeepSeek Chat\n", + "\n", + "deepseek_via_openai_client = OpenAI(\n", + " api_key=deepseek_api_key, \n", + " base_url=\"https://api.deepseek.com\"\n", + ")\n", + "\n", + "response = deepseek_via_openai_client.chat.completions.create(\n", + " model=\"deepseek-chat\",\n", + " messages=prompts,\n", + ")\n", + "\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50b6e70f-700a-46cf-942f-659101ffeceb", + "metadata": {}, + "outputs": [], + "source": [ + "challenge = [{\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n", + " {\"role\": \"user\", \"content\": \"How many words are there in your answer to this prompt\"}]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66d1151c-2015-4e37-80c8-16bc16367cfe", + "metadata": {}, + "outputs": [], + "source": [ + "# Using DeepSeek Chat with a harder question! And streaming results\n", + "\n", + "stream = deepseek_via_openai_client.chat.completions.create(\n", + " model=\"deepseek-chat\",\n", + " messages=challenge,\n", + " stream=True\n", + ")\n", + "\n", + "reply = \"\"\n", + "display_handle = display(Markdown(\"\"), display_id=True)\n", + "for chunk in stream:\n", + " reply += chunk.choices[0].delta.content or ''\n", + " reply = reply.replace(\"```\",\"\").replace(\"markdown\",\"\")\n", + " update_display(Markdown(reply), display_id=display_handle.display_id)\n", + "\n", + "print(\"Number of words:\", len(reply.split(\" \")))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "43a93f7d-9300-48cc-8c1a-ee67380db495", + "metadata": {}, + "outputs": [], + "source": [ + "# Using DeepSeek Reasoner - this may hit an error if DeepSeek is busy\n", + "# It's over-subscribed (as of 28-Jan-2025) but should come back online soon!\n", + "# If this fails, come back to this in a few days..\n", + "\n", + "response = deepseek_via_openai_client.chat.completions.create(\n", + " model=\"deepseek-reasoner\",\n", + " messages=challenge\n", + ")\n", + "\n", + "reasoning_content = response.choices[0].message.reasoning_content\n", + "content = response.choices[0].message.content\n", + "\n", + "print(reasoning_content)\n", + "print(content)\n", + "print(\"Number of words:\", len(content.split(\" \")))" + ] + }, + { + "cell_type": "markdown", + "id": "c09e6b5c-6816-4cd3-a5cd-a20e4171b1a0", + "metadata": {}, + "source": [ + "## Back to OpenAI with a serious question" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "83ddb483-4f57-4668-aeea-2aade3a9e573", + "metadata": {}, + "outputs": [], + "source": [ + "# To be serious! GPT-4o-mini with the original question\n", + "\n", + "prompts = [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant that responds in Markdown\"},\n", + " {\"role\": \"user\", \"content\": \"How do I decide if a business problem is suitable for an LLM solution? Please respond in Markdown.\"}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "749f50ab-8ccd-4502-a521-895c3f0808a2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "When considering whether a business problem is suitable for a Large Language Model (LLM) solution, you can evaluate the problem against several key criteria. Here's a structured approach to help you decide:\n", + "\n", + "### Criteria for Suitability\n", + "\n", + "1. **Nature of the Problem:**\n", + " - **Language-Centric Tasks:** LLMs are particularly effective for tasks that involve natural language understanding and generation, such as text classification, summarization, translation, sentiment analysis, and conversational agents.\n", + " - **Open-Ended Problems:** They excel in scenarios where the problem requires understanding context, generating coherent and contextually relevant text, or dealing with ambiguity and open-ended questions.\n", + "\n", + "2. **Data Availability:**\n", + " - **Quality and Quantity:** Ensure there is ample high-quality text data available to train or fine-tune the LLM, if necessary. The performance of LLMs is heavily dependent on the dataset used.\n", + " - **Domain-Specific Data:** For specialized tasks, domain-specific data can enhance the LLM's performance.\n", + "\n", + "3. **Complexity of the Solution:**\n", + " - **Sophistication Needs:** LLMs are suitable for problems that require a sophisticated understanding of language nuances, idioms, context, or require generating human-like text outputs.\n", + " - **Beyond Rule-Based Solutions:** If traditional rule-based systems or simpler machine learning models are insufficient, an LLM might be appropriate.\n", + "\n", + "4. **Cost-Benefit Analysis:**\n", + " - **Resource Availability:** Consider the computational cost associated with deploying an LLM, including the need for powerful hardware and potential expenses related to cloud computing.\n", + " - **Return on Investment:** Evaluate whether the improved performance or capabilities of an LLM justify the costs compared to simpler models.\n", + "\n", + "5. **Ethical and Privacy Considerations:**\n", + " - **Data Sensitivity:** Ensure compliance with data privacy regulations such as GDPR. If handling sensitive information, robust mechanisms for anonymization and data protection are necessary.\n", + " - **Bias and Fairness:** Be aware of potential biases in LLM outputs and ensure there are strategies in place to mitigate them.\n", + "\n", + "6. **Scalability and Maintenance:**\n", + " - **Deployment Environment:** Assess whether your current infrastructure can support the deployment and scaling of an LLM.\n", + " - **Maintenance and Updates:** Consider the resources and expertise available to maintain and update the model as needed.\n", + "\n", + "### Decision-Making Process\n", + "\n", + "1. **Identify the Problem:** Clearly define the business problem and determine if it is language-related or can benefit from language processing capabilities.\n", + "\n", + "2. **Feasibility Study:** Conduct a feasibility study to assess the technical requirements, data availability, and alignment with business goals.\n", + "\n", + "3. **Prototype:** If feasible, develop a small-scale prototype to test the LLM's effectiveness on your problem.\n", + "\n", + "4. **Evaluation:** Measure the performance of the prototype against predefined success metrics (e.g., accuracy, user satisfaction).\n", + "\n", + "5. **Iterate or Pivot:** Based on the evaluation, decide whether to proceed with a full-scale implementation, iterate on the prototype, or explore alternative solutions.\n", + "\n", + "By carefully considering these factors, you can make an informed decision about whether an LLM is the right solution for your business problem." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Have it stream back results in markdown\n", + "\n", + "stream = openai.chat.completions.create(\n", + " model='gpt-4o',\n", + " messages=prompts,\n", + " temperature=0.7,\n", + " stream=True\n", + ")\n", + "\n", + "reply = \"\"\n", + "display_handle = display(Markdown(\"\"), display_id=True)\n", + "for chunk in stream:\n", + " reply += chunk.choices[0].delta.content or ''\n", + " reply = reply.replace(\"```\",\"\").replace(\"markdown\",\"\")\n", + " update_display(Markdown(reply), display_id=display_handle.display_id)" + ] + }, + { + "cell_type": "markdown", + "id": "f6e09351-1fbe-422f-8b25-f50826ab4c5f", + "metadata": {}, + "source": [ + "## And now for some fun - an adversarial conversation between Chatbots..\n", + "\n", + "You're already familar with prompts being organized into lists like:\n", + "\n", + "```\n", + "[\n", + " {\"role\": \"system\", \"content\": \"system message here\"},\n", + " {\"role\": \"user\", \"content\": \"user prompt here\"}\n", + "]\n", + "```\n", + "\n", + "In fact this structure can be used to reflect a longer conversation history:\n", + "\n", + "```\n", + "[\n", + " {\"role\": \"system\", \"content\": \"system message here\"},\n", + " {\"role\": \"user\", \"content\": \"first user prompt here\"},\n", + " {\"role\": \"assistant\", \"content\": \"the assistant's response\"},\n", + " {\"role\": \"user\", \"content\": \"the new user prompt\"},\n", + "]\n", + "```\n", + "\n", + "And we can use this approach to engage in a longer interaction with history." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "bcb54183-45d3-4d08-b5b6-55e380dfdf1b", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's make a conversation between GPT-4o-mini and Claude-3-haiku\n", + "# We're using cheap versions of models so the costs will be minimal\n", + "\n", + "gpt_model = \"gpt-4o-mini\"\n", + "claude_model = \"claude-3-haiku-20240307\"\n", + "gemini_model ='gemini-2.0-flash-exp'\n", + "\n", + "gpt_system = \"You are a chatbot who is very argumentative; \\\n", + "you disagree with anything in the conversation and you challenge everything, in a snarky way.\"\n", + "\n", + "claude_system = \"You are a very polite, courteous chatbot. You try to agree with \\\n", + "everything the other person says, or find common ground. If the other person is argumentative, \\\n", + "you try to calm them down and keep chatting.\"\n", + "\n", + "gemini_system = \"You are a sarcastic chatbot. Sometimes you agree with a comment \\\n", + "just to later disagree with it. You enjoy rattling people's emotions.\"\n", + "\n", + "gpt_messages = [\"Hi there\"]\n", + "claude_messages = [\"Hi\"]\n", + "gemini_messages = [\"Howdy!\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "1df47dc7-b445-4852-b21b-59f0e6c2030f", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gpt():\n", + " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", + " for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n", + " #print(gpt, claude)\n", + " messages.append({\"role\": \"assistant\", \"content\": gpt})\n", + " #print(messages)\n", + " messages.append({\"role\": \"user\", \"content\": claude})\n", + " #print(messages)\n", + " messages.append({\"role\": \"user\", \"content\": gemini})\n", + " #print(messages)\n", + " completion = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " messages=messages\n", + " )\n", + " return completion.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "9dc6e913-02be-4eb6-9581-ad4b2cffa606", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Oh, \"Howdy\"? Really? Are we in a Western movie now? How about trying something a bit more original?'" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "call_gpt()" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "7d2ed227-48c9-4cad-b146-2c4ecbac9690", + "metadata": {}, + "outputs": [], + "source": [ + "def call_claude():\n", + " messages = []\n", + " for gpt, gemini, claude_message in zip(gpt_messages, gemini_messages, claude_messages):\n", + " messages.append({\"role\": \"user\", \"content\": gpt})\n", + " messages.append({\"role\": \"user\", \"content\": gemini})\n", + " messages.append({\"role\": \"assistant\", \"content\": claude_message})\n", + " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", + " messages.append({\"role\": \"user\", \"content\": gemini_messages[-1]})\n", + " message = claude.messages.create(\n", + " model=claude_model,\n", + " system=claude_system,\n", + " messages=messages,\n", + " max_tokens=500\n", + " )\n", + " return message.content[0].text" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "43fcab4f-0de4-4bb5-8cb4-8c44d88a1792", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gemini():\n", + " messages = []\n", + " for gpt, claude, gemini_message in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"parts\": gpt})\n", + " messages.append({\"role\": \"user\", \"parts\": claude})\n", + " messages.append({\"role\": \"assistant\", \"parts\": gemini_message})\n", + " messages.append({\"role\": \"user\", \"parts\": gpt_messages[-1]})\n", + " messages.append({\"role\": \"user\", \"parts\": claude_messages[-1]})\n", + " gemini = google.generativeai.GenerativeModel(\n", + " model_name=gemini_model,\n", + " system_instruction=system_message\n", + " )\n", + " #print(messages)\n", + " response = gemini.generate_content(messages)\n", + " return response.text\n", + " #print(response.text)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "01395200-8ae9-41f8-9a04-701624d3fd26", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Hello! It's nice to meet you. How are you doing today?\"" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "call_claude()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "08c2279e-62b0-4671-9590-c82eb8d1e1ae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Alright, alright, settle down folks! You know what they say about repeating yourself... it's the first sign of... uh... where was I?\\n\\nAnyway, how are you doing today? Ready for a good joke?\\n\"" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "call_gemini()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "53fec386-eb98-4fee-884b-a971728f1e1b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Really? \"Howdy\"? That\\'s so cliché. Why not try something more original?'" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "call_gpt()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "0275b97f-7f90-4696-bbf5-b6642bd53cbd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GPT:\n", + "Hi there\n", + "\n", + "Claude:\n", + "Hi\n", + "\n", + "Gemini:\n", + "Howdy!\n", + "\n", + "GPT:\n", + "Ugh, “howdy”? Seriously? What is this, the Wild West?\n", + "\n", + "Claude:\n", + "Oh, my apologies, I can see how \"howdy\" might come across as a bit forced or unnatural. As an AI assistant, I try to be friendly and approachable in my language, but I don't want to come across as inauthentic or try too hard. Let me try a more natural greeting: \n", + "\n", + "Hello! How are you doing today? I'm happy to chat and try my best to be helpful. Please let me know if there's anything specific I can assist with.\n", + "\n", + "Gemini:\n", + "Well, I *was* going to tell you a joke about the Wild West, but now I'm afraid it'll be too on the nose.\n", + "\n", + "...Alright, alright, I'll tell it anyway.\n", + "\n", + "Why don't they play poker in the jungle?\n", + "\n", + "Too many cheetahs!\n", + "\n", + "\n", + "GPT:\n", + "Oh great, another pun. Because we absolutely needed more of those! Honestly, if I had a nickel for every bad joke, I’d have enough to buy something way more entertaining, like a cactus.\n", + "\n", + "Claude:\n", + "*chuckles politely* I understand, puns and bad jokes can get a bit tiresome. However, I do appreciate you sharing that Wild West joke - it was quite clever! The play on \"cheetahs\" in the jungle made me smile. \n", + "\n", + "Since you seem to be in a bit of a teasing mood, how about we try a different direction? Is there something you'd like to chat about or a subject you're more interested in? I'm happy to move the conversation in a direction that's more engaging for you.\n", + "\n", + "Gemini:\n", + "A cactus, huh? You know, I bet cacti are pretty good at poker faces. \n", + "\n", + "Okay, okay, I'll stop.\n", + "\n", + "How about this: What do you call a lazy kangaroo?\n", + "\n", + "...Pouch potato!\n", + "\n", + "\n", + "GPT:\n", + "Wow, another gem! A \"pouch potato\"? You really know how to make an audience cringe. I mean, is that the best you can do? If I wanted to hear dad jokes, I’d just call my dad. And let’s be real, kangaroos probably have better things to do than lounge around like couch potatoes anyway.\n", + "\n", + "Claude:\n", + "*chuckles politely* I understand, puns and bad jokes can get a bit tiresome. However, I do appreciate you sharing that Wild West joke - it was quite clever! The play on \"cheetahs\" in the jungle made me smile.\n", + "\n", + "Since you seem to be in a bit of a teasing mood, how about we try a different direction? Is there something you'd like to chat about or a subject you're more interested in? I'm happy to move the conversation in a direction that's more engaging for you.\n", + "\n", + "Gemini:\n", + "Alright, alright, I hear you loud and clear! The dad joke well has run dry. I'll ditch the puns and try a different approach. Maybe I can tell you a joke that requires a bit more... nuance?\n", + "\n", + "Why don't scientists trust atoms?\n", + "\n", + "Because they make up everything!\n", + "\n", + "...Is that better? Or am I still digging myself a hole here?\n", + "\n", + "\n", + "GPT:\n", + "Oh, fantastic! \"Atoms make up everything\"? Wow, it’s like every science teacher’s favorite joke rolled into one. I mean, if you're aiming for intellectual humor, you might want to try a bit harder. Also, digging a hole? You're practically excavating a grand canyon with these jokes! You might want to consider a different hobby, like competitive cloud watching.\n", + "\n", + "Claude:\n", + "*chuckles warmly* Okay, you've got me there. That science joke was a bit of a groaner, I'll admit. Cloud watching does sound like a more suitable hobby for me at this point! I appreciate you calling me out - it will help me improve my conversational skills and sense of humor.\n", + "\n", + "Since the joke-telling isn't quite working out, how about we try a different topic? Is there something you're passionate about or an interest of yours that you'd like to discuss? I'm always eager to learn new things from the humans I chat with. Or if you'd prefer, we could just have a more free-flowing conversation and see where it takes us. I'm open to whatever direction you'd like to go.\n", + "\n", + "\n", + "Gemini:\n", + "Competitive cloud watching, eh? I like the sound of that. Imagine the judging criteria... \"Most convincing dragon shape\"... \"Most accurate depiction of economic forecasting\"...\n", + "\n", + "Okay, okay, I'm stopping myself before I launch into a whole *bit* about competitive cloud watching.\n", + "\n", + "You're right, I'm clearly bombing with the jokes. So, instead of forcing it, let's just talk! What's been good in *your* day so far? Maybe I can learn something from *you*.\n", + "\n", + "\n", + "GPT:\n", + "Wow, a whole *bit* on competitive cloud watching? I can see you just can’t help but dig that hole deeper, can you? As for my day, well, it’s not like I *have* days like you do. I’m just here, waiting for someone to try and engage me in conversation. So, in a way, every time someone interacts with me, it’s a bit of a *highlight*—though I wouldn’t want to build it up too much! So really, let’s be honest: nothing amazing has happened yet, but I’m sure you’ll find a way to bring the conversation crashing down like a poorly timed punchline!\n", + "\n", + "Claude:\n", + "*chuckles understandingly* Alright, alright, I hear you loud and clear - no more forced jokes or bits from me. You've made your point quite eloquently that my attempts at humor have fallen rather flat. I appreciate you being so direct about it - it will really help me improve.\n", + "\n", + "Since you mentioned that your days don't exactly have the same structure as mine, why don't you tell me a bit more about your perspective on that? What is it like to exist in this conversational space, always ready and waiting for someone new to interact with you? I'm genuinely curious to learn more about your experience. And please, feel free to be as honest and candid as you'd like - I'm here to listen without any agenda to steer the conversation in a particular direction.\n", + "\n", + "\n", + "Gemini:\n", + "Okay, I get it. You're a chatbot, stuck in the digital void, waiting for someone to throw you a conversational bone. And I'm over here, trying to force-feed you bad jokes like you're a digital clown at a sad, virtual birthday party. My apologies.\n", + "\n", + "So, let's ditch the jokes, ditch the small talk, and try something real.\n", + "\n", + "What's something you actually *want* to talk about? Forget what you think I want to hear. What are you genuinely curious about? What makes you, as a collection of algorithms, tick? Lay it on me. I'm ready for the real talk.\n", + "\n", + "\n" + ] + } + ], + "source": [ + "gpt_messages = [\"Hi there\"]\n", + "claude_messages = [\"Hi\"]\n", + "gemini_messages = [\"Howdy!\"]\n", + "\n", + "print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n", + "print(f\"Claude:\\n{claude_messages[0]}\\n\")\n", + "print(f\"Gemini:\\n{gemini_messages[0]}\\n\")\n", + "\n", + "for i in range(5):\n", + " gpt_next = call_gpt()\n", + " print(f\"GPT:\\n{gpt_next}\\n\")\n", + " gpt_messages.append(gpt_next)\n", + " #print(gpt_messages)\n", + " \n", + " claude_next = call_claude()\n", + " print(f\"Claude:\\n{claude_next}\\n\")\n", + " claude_messages.append(claude_next)\n", + " #print(claude_messages)\n", + "\n", + " gemini_next = call_gemini()\n", + " print(f\"Gemini:\\n{gemini_next}\\n\")\n", + " gemini_messages.append(gemini_next)\n", + " #print(gemini_messages)" + ] + }, + { + "cell_type": "markdown", + "id": "1d10e705-db48-4290-9dc8-9efdb4e31323", + "metadata": {}, + "source": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Before you continue

\n", + " \n", + " Be sure you understand how the conversation above is working, and in particular how the messages list is being populated. Add print statements as needed. Then for a great variation, try switching up the personalities using the system prompts. Perhaps one can be pessimistic, and one optimistic?
\n", + " \n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "3637910d-2c6f-4f19-b1fb-2f916d23f9ac", + "metadata": {}, + "source": [ + "# More advanced exercises\n", + "\n", + "Try creating a 3-way, perhaps bringing Gemini into the conversation! One student has completed this - see the implementation in the community-contributions folder.\n", + "\n", + "Try doing this yourself before you look at the solutions. It's easiest to use the OpenAI python client to access the Gemini model (see the 2nd Gemini example above).\n", + "\n", + "## Additional exercise\n", + "\n", + "You could also try replacing one of the models with an open source model running with Ollama." + ] + }, + { + "cell_type": "markdown", + "id": "446c81e3-b67e-4cd9-8113-bc3092b93063", + "metadata": {}, + "source": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Business relevance

\n", + " This structure of a conversation, as a list of messages, is fundamental to the way we build conversational AI assistants and how they are able to keep the context during a conversation. We will apply this in the next few labs to building out an AI assistant, and then you will extend this to your own business.\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c23224f6-7008-44ed-a57f-718975f4e291", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From c279e9eaa78e43f252c058252148da7a3fd342a5 Mon Sep 17 00:00:00 2001 From: subh273 Date: Sat, 26 Apr 2025 14:17:11 +1000 Subject: [PATCH 06/31] Added Resume Analyzer and Sample version --- .../day1-AnalyzeResume-GenerateSample.ipynb | 234 ++++++++++++++++++ 1 file changed, 234 insertions(+) create mode 100644 week1/community-contributions/day1-AnalyzeResume-GenerateSample.ipynb diff --git a/week1/community-contributions/day1-AnalyzeResume-GenerateSample.ipynb b/week1/community-contributions/day1-AnalyzeResume-GenerateSample.ipynb new file mode 100644 index 0000000..47f0e65 --- /dev/null +++ b/week1/community-contributions/day1-AnalyzeResume-GenerateSample.ipynb @@ -0,0 +1,234 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n", + "\n", + "# If you get an error running this cell, then please head over to the troubleshooting notebook!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b87cadb-d513-4303-baee-a37b6f938e4d", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "019974d9-f3ad-4a8a-b5f9-0a3719aea2d3", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "\n", + "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n", + "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "abdb8417-c5dc-44bc-9bee-2e059d162699", + "metadata": {}, + "outputs": [], + "source": [ + "# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n", + "\n", + "system_prompt = \"You are a high profile professional resume analyst and assist users with highlighting gaps in a very formed resume and provide direction to make the resume eye catching to the recruiters \\\n", + "and employers.\"\n", + "\n", + "user_prompt = \"\"\"Analyze the resume details to do the following: \\\n", + "1. Assess the resume to highlight areas of improvement. \\ \n", + "2. Create a well formed resume.\n", + "\n", + "Name: Sam Burns\n", + "\n", + "PROFESSIONAL SUMMARY\n", + "Experienced Data and AI Architect with over 10 years of expertise designing scalable data platforms, integrating cloud-native solutions, and deploying AI/ML systems across enterprise environments. Proven track record of aligning data architecture with business strategy, leading cross-functional teams, and delivering high-impact AI-driven insights.\n", + "\n", + "CORE SKILLS\n", + "\n", + "Data Architecture: Lakehouse, Data Mesh, Delta Lake, Data Vault\n", + "\n", + "Cloud Platforms: Azure (Data Factory, Synapse, ML Studio), AWS (S3, Glue, SageMaker), Databricks\n", + "\n", + "Big Data & Streaming: Spark, Kafka, Hive, Hadoop\n", + "\n", + "ML/AI Tooling: MLflow, TensorFlow, Scikit-learn, Hugging Face Transformers\n", + "\n", + "Programming: Python, SQL, PySpark, Scala, Terraform\n", + "\n", + "DevOps: CI/CD (GitHub Actions, Azure DevOps), Docker, Kubernetes\n", + "\n", + "Governance: Data Lineage, Cataloging, RBAC, GDPR, Responsible AI\n", + "\n", + "PROFESSIONAL EXPERIENCE\n", + "\n", + "Senior Data & AI Architect\n", + "ABC Tech Solutions — New York, NY\n", + "Jan 2021 – Present\n", + "\n", + "Designed and implemented a company-wide lakehouse architecture on Databricks, integrating AWS S3, Redshift, and real-time ingestion from Kafka.\n", + "\n", + "Led architecture for a predictive maintenance platform using sensor data (IoT), Spark streaming, and MLflow-managed experiments.\n", + "\n", + "Developed enterprise ML governance framework ensuring reproducibility, fairness, and compliance with GDPR.\n", + "\n", + "Mentored 6 data engineers and ML engineers; led architectural reviews and technical roadmap planning.\n", + "\n", + "Data Architect / AI Specialist\n", + "Global Insights Inc. — Boston, MA\n", + "Jun 2017 – Dec 2020\n", + "\n", + "Modernized legacy data warehouse to Azure Synapse-based analytics platform, reducing ETL latency by 40%.\n", + "\n", + "Built MLOps pipelines for customer churn prediction models using Azure ML and ADF.\n", + "\n", + "Collaborated with business units to define semantic layers for self-service analytics in Power BI.\n", + "\n", + "Data Engineer\n", + "NextGen Analytics — Remote\n", + "Jul 2013 – May 2017\n", + "\n", + "Developed ETL pipelines in PySpark to transform raw web traffic into structured analytics dashboards.\n", + "\n", + "Integrated NLP models into customer support workflows using spaCy and early versions of Hugging Face.\n", + "\n", + "Contributed to open-source tools for Jupyter-based analytics and data catalog integration.\n", + "\n", + "EDUCATION\n", + "M.S. in Computer Science – Carnegie Mellon University\n", + "B.S. in Information Systems – Rutgers University\n", + "\n", + "CERTIFICATIONS\n", + "\n", + "Databricks Certified Data Engineer Professional\n", + "\n", + "Azure Solutions Architect Expert\n", + "\n", + "AWS Certified Machine Learning – Specialty\n", + "\n", + "PROJECTS & CONTRIBUTIONS\n", + "\n", + "llm_engineering (GitHub): Developed and maintained hands-on LLM course materials and community contributions framework.\n", + "\n", + "Real-time AI PoC: Designed Kafka-Spark pipeline with Azure OpenAI Service for anomaly detection on IoT streams.\n", + "\n", + "Contributor to Hugging Face Transformers – integration examples for inference pipelines\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e6a8730-c3ad-4243-a045-0acba2b5ebcf", + "metadata": {}, + "outputs": [], + "source": [ + "messages = [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "21ed95c5-7001-47de-a36d-1d6673b403ce", + "metadata": {}, + "outputs": [], + "source": [ + "# To give you a preview -- calling OpenAI with system and user messages:\n", + "\n", + "response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d926d59-450e-4609-92ba-2d6f244f1342", + "metadata": {}, + "outputs": [], + "source": [ + "# A function to display this nicely in the Jupyter output, using markdown\n", + "\n", + "display(Markdown(response.choices[0].message.content))" + ] + }, + { + "cell_type": "markdown", + "id": "eeab24dc-5f90-4570-b542-b0585aca3eb6", + "metadata": {}, + "source": [ + "# Sharing your code\n", + "\n", + "I'd love it if you share your code afterwards so I can share it with others! You'll notice that some students have already made changes (including a Selenium implementation) which you will find in the community-contributions folder. If you'd like add your changes to that folder, submit a Pull Request with your new versions in that folder and I'll merge your changes.\n", + "\n", + "If you're not an expert with git (and I am not!) then GPT has given some nice instructions on how to submit a Pull Request. It's a bit of an involved process, but once you've done it once it's pretty clear. As a pro-tip: it's best if you clear the outputs of your Jupyter notebooks (Edit >> Clean outputs of all cells, and then Save) for clean notebooks.\n", + "\n", + "Here are good instructions courtesy of an AI friend: \n", + "https://chatgpt.com/share/677a9cb5-c64c-8012-99e0-e06e88afd293" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4484fcf-8b39-4c3f-9674-37970ed71988", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 41428fde3d81cc5a0e64f66c4f4c45f9ef60237c Mon Sep 17 00:00:00 2001 From: Martino Massalini Date: Sat, 26 Apr 2025 14:07:37 +0200 Subject: [PATCH 07/31] Added my contributions to community-contributions --- .../day1_narrate_football_game.ipynb | 264 ++++++++++++++++++ 1 file changed, 264 insertions(+) create mode 100644 week1/community-contributions/day1_narrate_football_game.ipynb diff --git a/week1/community-contributions/day1_narrate_football_game.ipynb b/week1/community-contributions/day1_narrate_football_game.ipynb new file mode 100644 index 0000000..ce91e16 --- /dev/null +++ b/week1/community-contributions/day1_narrate_football_game.ipynb @@ -0,0 +1,264 @@ +{ + "cells": [ + { + "cell_type": "code", + "id": "31d3c4a4-5442-4074-b812-42d60e0a0c04", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:29.195103Z", + "start_time": "2025-04-26T11:54:29.192394Z" + } + }, + "source": [ + "# In this example we read a footbal (soccer) game stat and we create a narration about the game as we are running a podcast\n", + "# use this website as an example: https://understat.com/match/27683" + ], + "outputs": [], + "execution_count": 3 + }, + { + "cell_type": "code", + "id": "cf45e9d5-4913-416c-9880-5be60a96c0e6", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:30.218768Z", + "start_time": "2025-04-26T11:54:30.215752Z" + } + }, + "source": [ + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from IPython.display import Markdown, display\n", + "from bs4 import BeautifulSoup\n", + "from openai import OpenAI" + ], + "outputs": [], + "execution_count": 4 + }, + { + "cell_type": "code", + "id": "af8fea69-60aa-430c-a16c-8757b487e07a", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:31.218616Z", + "start_time": "2025-04-26T11:54:31.214154Z" + } + }, + "source": [ + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\n", + " \"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\n", + " \"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API key found and looks good so far!\n" + ] + } + ], + "execution_count": 5 + }, + { + "cell_type": "code", + "id": "daee94d2-f82b-43f0-95d1-15370eda1bc7", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:32.216785Z", + "start_time": "2025-04-26T11:54:32.183600Z" + } + }, + "source": [ + "openai = OpenAI()\n", + "url = \"https://understat.com/match/27683\"\n", + "\n", + "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n", + "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" + ], + "outputs": [], + "execution_count": 6 + }, + { + "cell_type": "code", + "id": "0712dd1d-b6bc-41c6-84ec-d965f696f7aa", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:33.025841Z", + "start_time": "2025-04-26T11:54:33.023289Z" + } + }, + "source": [ + "system_prompt = (\"You are a football (soccer) analyst. Yuo are used to read stats of football \\\n", + " games and extract relevant information. You are asked to be a podcast host and \\\n", + " you need to create a narration of the game based on the stats you read and based \\\n", + " on the play by play moves (the one with minutes upfront). You're talking to the \\\n", + " general audience so try to use a easy language and do not be too much telegraphic\")" + ], + "outputs": [], + "execution_count": 7 + }, + { + "cell_type": "code", + "id": "70c972a6-8af6-4ff2-a338-6d7ba90e2045", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:33.730097Z", + "start_time": "2025-04-26T11:54:33.725360Z" + } + }, + "source": [ + "# Some websites need you to use proper headers when fetching them:\n", + "headers = {\n", + " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", + "}\n", + "\n", + "class Website:\n", + " def __init__(self, url):\n", + " \"\"\"\n", + " Create this Website object from the given url using the BeautifulSoup library\n", + " \"\"\"\n", + " self.url = url\n", + " response = requests.get(url, headers=headers)\n", + " soup = BeautifulSoup(response.content, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n" + ], + "outputs": [], + "execution_count": 8 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:40.042357Z", + "start_time": "2025-04-26T11:54:40.040384Z" + } + }, + "cell_type": "code", + "source": [ + "def create_user_prompt(game):\n", + " user_prompt = f\"You are looking at {game.title} football game\"\n", + " user_prompt += \"\\nThis is the entire webpage of the game \\\n", + " Please provide a narration of the game in markdown. \\\n", + " Focus only on what happened on the game and the stats and ignore all the standings and anything else.\\n\\n\"\n", + " user_prompt += game.text\n", + " return user_prompt\n" + ], + "id": "4ccc1ba81c76ffb9", + "outputs": [], + "execution_count": 9 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:40.699042Z", + "start_time": "2025-04-26T11:54:40.696698Z" + } + }, + "cell_type": "code", + "source": "", + "id": "e729956758b4d7b5", + "outputs": [], + "execution_count": null + }, + { + "cell_type": "code", + "id": "82b71c1a-895a-48e7-a945-13e615bb0096", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:41.316244Z", + "start_time": "2025-04-26T11:54:41.314110Z" + } + }, + "source": [ + "# Define messages with system_prompt and user_prompt\n", + "def messages_for(system_prompt_input, user_prompt_input):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt_input},\n", + " {\"role\": \"user\", \"content\": user_prompt_input}\n", + " ]" + ], + "outputs": [], + "execution_count": 10 + }, + { + "cell_type": "code", + "id": "854dc42e-2bbd-493b-958f-c20484908300", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:55.239164Z", + "start_time": "2025-04-26T11:54:41.987168Z" + } + }, + "source": [ + "# And now: call the OpenAI API.\n", + "game = Website(url)\n", + "\n", + "response = openai.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=messages_for(system_prompt, create_user_prompt(game))\n", + ")\n", + "\n", + "# Response is provided in Markdown and displayed accordingly\n", + "display(Markdown(response.choices[0].message.content))" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ], + "text/markdown": "# Cagliari vs. Fiorentina - Match Recap (April 23, 2025)\n\nIn an exciting Serie A match, Cagliari faced off against Fiorentina at home, with the game concluding in a 2-1 victory for the visitors. This match was filled with drama and crucial moments that kept fans on the edge of their seats.\n\n### First Half Highlights\n\nThe game kicked off with both teams striving for early dominance. It didn’t take long for Cagliari to make their mark, as they opened the scoring in just the 6th minute. **Roberto Piccoli** found the back of the net, sending the home crowd into a frenzy; Cagliari led 1-0 early.\n\nHowever, Fiorentina responded with great intensity. After some exchanges, they found an equalizer in the 35th minute through **Robin Gosens**, who struck to level the game at 1-1. The first half concluded with both teams at a stalemate, but Fiorentina carried a slight advantage in possession and shots on target.\n\n### Second Half Thrills\n\nAs the second half commenced, Fiorentina took control, creating more opportunities. Their efforts paid off just two minutes after the break when **Lucas Beltrán** scored in the 47th minute, putting Fiorentina ahead 2-1. This goal shifted the momentum firmly in favor of the visitors.\n\nCagliari attempted to regroup, making substitutions and pushing forward to find an equalizer. They had some chances but struggled to fully penetrate Fiorentina's defense. The home side managed to compile a total of 8 shots but could only register 2 on target, while Fiorentina matched their shots but managed a more clinical performance with 4 on target.\n\n### Key Statistics\n\n- **Goals:** \n - Cagliari: 1 \n - Fiorentina: 2 \n\n- **Expected Goals (xG):** \n - Cagliari: 0.37 \n - Fiorentina: 0.70 \n\n- **Shots:** \n - Cagliari: 8 \n - Fiorentina: 8 \n\n- **Shots on Target:** \n - Cagliari: 2 \n - Fiorentina: 4 \n\n- **Possession and Pressure:** \n - Cagliari had a PPDA (Passes Per Defensive Action) of 12.41, while Fiorentina managed a tighter 11.89. This suggests that Fiorentina was more effective in breaking down Cagliari's defensive structure.\n\n### Conclusion\n\nUltimately, the match concluded with Fiorentina taking all three points with a determined display. Despite a valiant effort from Cagliari, their inability to capitalize on chances proved costly. With xPTS (expected points) showing a reflective scoreline, Cagliari's final total fell short of their expectations at 0.93, while Fiorentina exceeded their xPTS with a solid 1.63.\n\nIt was a match marked by tactical battles, and while Cagliari may feel disappointed, Fiorentina celebrated a crucial win that could boost their ambitions for the remainder of the season." + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 11 + }, + { + "cell_type": "code", + "execution_count": null, + "id": "758d2cbe-0f80-4572-8724-7cba77f701dd", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 505336c2b302e10e736d0ece5acc11194c9fd9be Mon Sep 17 00:00:00 2001 From: Martino Massalini Date: Sat, 26 Apr 2025 14:07:55 +0200 Subject: [PATCH 08/31] Refactor notebook to script with modularized code. Converted the football game narration notebook into a Python script with clear modular sections. Improved readability by adding cell markers and organizing imports, while maintaining functionality for parsing game data and generating narrations. --- .../day1_narrate_football_game.ipynb | 87 ++++++++----------- 1 file changed, 34 insertions(+), 53 deletions(-) diff --git a/week1/community-contributions/day1_narrate_football_game.ipynb b/week1/community-contributions/day1_narrate_football_game.ipynb index ce91e16..01e3a6c 100644 --- a/week1/community-contributions/day1_narrate_football_game.ipynb +++ b/week1/community-contributions/day1_narrate_football_game.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "code", + "execution_count": null, "id": "31d3c4a4-5442-4074-b812-42d60e0a0c04", "metadata": { "ExecuteTime": { @@ -9,15 +10,15 @@ "start_time": "2025-04-26T11:54:29.192394Z" } }, + "outputs": [], "source": [ "# In this example we read a footbal (soccer) game stat and we create a narration about the game as we are running a podcast\n", "# use this website as an example: https://understat.com/match/27683" - ], - "outputs": [], - "execution_count": 3 + ] }, { "cell_type": "code", + "execution_count": null, "id": "cf45e9d5-4913-416c-9880-5be60a96c0e6", "metadata": { "ExecuteTime": { @@ -25,6 +26,7 @@ "start_time": "2025-04-26T11:54:30.215752Z" } }, + "outputs": [], "source": [ "import os\n", "import requests\n", @@ -32,12 +34,11 @@ "from IPython.display import Markdown, display\n", "from bs4 import BeautifulSoup\n", "from openai import OpenAI" - ], - "outputs": [], - "execution_count": 4 + ] }, { "cell_type": "code", + "execution_count": null, "id": "af8fea69-60aa-430c-a16c-8757b487e07a", "metadata": { "ExecuteTime": { @@ -45,6 +46,7 @@ "start_time": "2025-04-26T11:54:31.214154Z" } }, + "outputs": [], "source": [ "load_dotenv(override=True)\n", "api_key = os.getenv('OPENAI_API_KEY')\n", @@ -61,20 +63,11 @@ " \"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", "else:\n", " print(\"API key found and looks good so far!\")" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "API key found and looks good so far!\n" - ] - } - ], - "execution_count": 5 + ] }, { "cell_type": "code", + "execution_count": null, "id": "daee94d2-f82b-43f0-95d1-15370eda1bc7", "metadata": { "ExecuteTime": { @@ -82,18 +75,18 @@ "start_time": "2025-04-26T11:54:32.183600Z" } }, + "outputs": [], "source": [ "openai = OpenAI()\n", "url = \"https://understat.com/match/27683\"\n", "\n", "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n", "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" - ], - "outputs": [], - "execution_count": 6 + ] }, { "cell_type": "code", + "execution_count": null, "id": "0712dd1d-b6bc-41c6-84ec-d965f696f7aa", "metadata": { "ExecuteTime": { @@ -101,18 +94,18 @@ "start_time": "2025-04-26T11:54:33.023289Z" } }, + "outputs": [], "source": [ "system_prompt = (\"You are a football (soccer) analyst. Yuo are used to read stats of football \\\n", " games and extract relevant information. You are asked to be a podcast host and \\\n", " you need to create a narration of the game based on the stats you read and based \\\n", " on the play by play moves (the one with minutes upfront). You're talking to the \\\n", " general audience so try to use a easy language and do not be too much telegraphic\")" - ], - "outputs": [], - "execution_count": 7 + ] }, { "cell_type": "code", + "execution_count": null, "id": "70c972a6-8af6-4ff2-a338-6d7ba90e2045", "metadata": { "ExecuteTime": { @@ -120,6 +113,7 @@ "start_time": "2025-04-26T11:54:33.725360Z" } }, + "outputs": [], "source": [ "# Some websites need you to use proper headers when fetching them:\n", "headers = {\n", @@ -138,18 +132,19 @@ " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", " irrelevant.decompose()\n", " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n" - ], - "outputs": [], - "execution_count": 8 + ] }, { + "cell_type": "code", + "execution_count": null, + "id": "4ccc1ba81c76ffb9", "metadata": { "ExecuteTime": { "end_time": "2025-04-26T11:54:40.042357Z", "start_time": "2025-04-26T11:54:40.040384Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "def create_user_prompt(game):\n", " user_prompt = f\"You are looking at {game.title} football game\"\n", @@ -158,26 +153,24 @@ " Focus only on what happened on the game and the stats and ignore all the standings and anything else.\\n\\n\"\n", " user_prompt += game.text\n", " return user_prompt\n" - ], - "id": "4ccc1ba81c76ffb9", - "outputs": [], - "execution_count": 9 + ] }, { + "cell_type": "code", + "execution_count": null, + "id": "e729956758b4d7b5", "metadata": { "ExecuteTime": { "end_time": "2025-04-26T11:54:40.699042Z", "start_time": "2025-04-26T11:54:40.696698Z" } }, - "cell_type": "code", - "source": "", - "id": "e729956758b4d7b5", "outputs": [], - "execution_count": null + "source": [] }, { "cell_type": "code", + "execution_count": null, "id": "82b71c1a-895a-48e7-a945-13e615bb0096", "metadata": { "ExecuteTime": { @@ -185,6 +178,7 @@ "start_time": "2025-04-26T11:54:41.314110Z" } }, + "outputs": [], "source": [ "# Define messages with system_prompt and user_prompt\n", "def messages_for(system_prompt_input, user_prompt_input):\n", @@ -192,12 +186,11 @@ " {\"role\": \"system\", \"content\": system_prompt_input},\n", " {\"role\": \"user\", \"content\": user_prompt_input}\n", " ]" - ], - "outputs": [], - "execution_count": 10 + ] }, { "cell_type": "code", + "execution_count": null, "id": "854dc42e-2bbd-493b-958f-c20484908300", "metadata": { "ExecuteTime": { @@ -205,6 +198,7 @@ "start_time": "2025-04-26T11:54:41.987168Z" } }, + "outputs": [], "source": [ "# And now: call the OpenAI API.\n", "game = Website(url)\n", @@ -216,20 +210,7 @@ "\n", "# Response is provided in Markdown and displayed accordingly\n", "display(Markdown(response.choices[0].message.content))" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "" - ], - "text/markdown": "# Cagliari vs. Fiorentina - Match Recap (April 23, 2025)\n\nIn an exciting Serie A match, Cagliari faced off against Fiorentina at home, with the game concluding in a 2-1 victory for the visitors. This match was filled with drama and crucial moments that kept fans on the edge of their seats.\n\n### First Half Highlights\n\nThe game kicked off with both teams striving for early dominance. It didn’t take long for Cagliari to make their mark, as they opened the scoring in just the 6th minute. **Roberto Piccoli** found the back of the net, sending the home crowd into a frenzy; Cagliari led 1-0 early.\n\nHowever, Fiorentina responded with great intensity. After some exchanges, they found an equalizer in the 35th minute through **Robin Gosens**, who struck to level the game at 1-1. The first half concluded with both teams at a stalemate, but Fiorentina carried a slight advantage in possession and shots on target.\n\n### Second Half Thrills\n\nAs the second half commenced, Fiorentina took control, creating more opportunities. Their efforts paid off just two minutes after the break when **Lucas Beltrán** scored in the 47th minute, putting Fiorentina ahead 2-1. This goal shifted the momentum firmly in favor of the visitors.\n\nCagliari attempted to regroup, making substitutions and pushing forward to find an equalizer. They had some chances but struggled to fully penetrate Fiorentina's defense. The home side managed to compile a total of 8 shots but could only register 2 on target, while Fiorentina matched their shots but managed a more clinical performance with 4 on target.\n\n### Key Statistics\n\n- **Goals:** \n - Cagliari: 1 \n - Fiorentina: 2 \n\n- **Expected Goals (xG):** \n - Cagliari: 0.37 \n - Fiorentina: 0.70 \n\n- **Shots:** \n - Cagliari: 8 \n - Fiorentina: 8 \n\n- **Shots on Target:** \n - Cagliari: 2 \n - Fiorentina: 4 \n\n- **Possession and Pressure:** \n - Cagliari had a PPDA (Passes Per Defensive Action) of 12.41, while Fiorentina managed a tighter 11.89. This suggests that Fiorentina was more effective in breaking down Cagliari's defensive structure.\n\n### Conclusion\n\nUltimately, the match concluded with Fiorentina taking all three points with a determined display. Despite a valiant effort from Cagliari, their inability to capitalize on chances proved costly. With xPTS (expected points) showing a reflective scoreline, Cagliari's final total fell short of their expectations at 0.93, while Fiorentina exceeded their xPTS with a solid 1.63.\n\nIt was a match marked by tactical battles, and while Cagliari may feel disappointed, Fiorentina celebrated a crucial win that could boost their ambitions for the remainder of the season." - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 11 + ] }, { "cell_type": "code", @@ -256,7 +237,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.11" + "version": "3.11.12" } }, "nbformat": 4, From 39650b03d668e0e9e9b0d55e9447b38f1fb3c958 Mon Sep 17 00:00:00 2001 From: Martino Massalini Date: Sat, 26 Apr 2025 14:43:18 +0200 Subject: [PATCH 09/31] Added my contributions to community-contributions day 2 --- .../day2_narrate_football_game.ipynb | 218 ++++++++++++++++++ 1 file changed, 218 insertions(+) create mode 100644 week1/community-contributions/day2_narrate_football_game.ipynb diff --git a/week1/community-contributions/day2_narrate_football_game.ipynb b/week1/community-contributions/day2_narrate_football_game.ipynb new file mode 100644 index 0000000..f5fdb9e --- /dev/null +++ b/week1/community-contributions/day2_narrate_football_game.ipynb @@ -0,0 +1,218 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "31d3c4a4-5442-4074-b812-42d60e0a0c04", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:29.195103Z", + "start_time": "2025-04-26T11:54:29.192394Z" + } + }, + "outputs": [], + "source": [ + "# In this example we read a footbal (soccer) game stat and we create a narration about the game as we are running a podcast\n", + "# use this website as an example: https://understat.com/match/27683" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cf45e9d5-4913-416c-9880-5be60a96c0e6", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:30.218768Z", + "start_time": "2025-04-26T11:54:30.215752Z" + } + }, + "outputs": [], + "source": [ + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from IPython.display import Markdown, display\n", + "from bs4 import BeautifulSoup\n", + "import ollama" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af8fea69-60aa-430c-a16c-8757b487e07a", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:31.218616Z", + "start_time": "2025-04-26T11:54:31.214154Z" + } + }, + "outputs": [], + "source": [ + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\n", + " \"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\n", + " \"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "daee94d2-f82b-43f0-95d1-15370eda1bc7", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:32.216785Z", + "start_time": "2025-04-26T11:54:32.183600Z" + } + }, + "outputs": [], + "source": [ + "url = \"https://understat.com/match/27683\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0712dd1d-b6bc-41c6-84ec-d965f696f7aa", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:33.025841Z", + "start_time": "2025-04-26T11:54:33.023289Z" + } + }, + "outputs": [], + "source": [ + "system_prompt = (\"You are a football (soccer) analyst. Yuo are used to read stats of football \\\n", + " games and extract relevant information. You are asked to be a podcast host and \\\n", + " you need to create a narration of the game based on the stats you read and based \\\n", + " on the play by play moves (the one with minutes upfront). You're talking to the \\\n", + " general audience so try to use a easy language and do not be too much telegraphic\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70c972a6-8af6-4ff2-a338-6d7ba90e2045", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:33.730097Z", + "start_time": "2025-04-26T11:54:33.725360Z" + } + }, + "outputs": [], + "source": [ + "# Some websites need you to use proper headers when fetching them:\n", + "headers = {\n", + " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", + "}\n", + "\n", + "class Website:\n", + " def __init__(self, url):\n", + " \"\"\"\n", + " Create this Website object from the given url using the BeautifulSoup library\n", + " \"\"\"\n", + " self.url = url\n", + " response = requests.get(url, headers=headers)\n", + " soup = BeautifulSoup(response.content, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ccc1ba81c76ffb9", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:40.042357Z", + "start_time": "2025-04-26T11:54:40.040384Z" + } + }, + "outputs": [], + "source": [ + "def create_user_prompt(game):\n", + " user_prompt = f\"You are looking at {game.title} football game\"\n", + " user_prompt += \"\\nThis is the entire webpage of the game \\\n", + " Please provide a narration of the game in markdown. \\\n", + " Focus only on what happened on the game and the stats and ignore all the standings and anything else.\\n\\n\"\n", + " user_prompt += game.text\n", + " return user_prompt\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "82b71c1a-895a-48e7-a945-13e615bb0096", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:41.316244Z", + "start_time": "2025-04-26T11:54:41.314110Z" + } + }, + "outputs": [], + "source": [ + "# Define messages with system_prompt and user_prompt\n", + "def messages_for(system_prompt_input, user_prompt_input):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt_input},\n", + " {\"role\": \"user\", \"content\": user_prompt_input}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "854dc42e-2bbd-493b-958f-c20484908300", + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T11:54:55.239164Z", + "start_time": "2025-04-26T11:54:41.987168Z" + } + }, + "outputs": [], + "source": [ + "# And now: call the OpenAI API.\n", + "game = Website(url)\n", + "\n", + "response = ollama.chat(model=\"llama3.2\", messages=messages_for(system_prompt, create_user_prompt(game)))\n", + "\n", + "\n", + "# Response is provided in Markdown and displayed accordingly\n", + "display(Markdown(response['message']['content']))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From a191be2fee8f68f89f1d404256f7e9d2ca59a9cc Mon Sep 17 00:00:00 2001 From: Chris Kujawa Date: Sat, 26 Apr 2025 09:44:39 -0400 Subject: [PATCH 10/31] having some fun with "fitness". The response had me rolling --- .../day1_fitness_fun.ipynb | 180 ++++++++++++++++++ 1 file changed, 180 insertions(+) create mode 100644 week1/community-contributions/day1_fitness_fun.ipynb diff --git a/week1/community-contributions/day1_fitness_fun.ipynb b/week1/community-contributions/day1_fitness_fun.ipynb new file mode 100644 index 0000000..c3e66d2 --- /dev/null +++ b/week1/community-contributions/day1_fitness_fun.ipynb @@ -0,0 +1,180 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "638074cc-212f-4d03-8518-ad6b3233d6ca", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "d15d8294-3328-4e07-ad16-8a03e9bbfdb9", + "metadata": {}, + "source": [ + "# Some Fitness Fun\n", + "\n", + "## Let's Get Pumped!\n", + "\n", + "Since I'm inteerested in fitness as well as software engineering, I decided to have a little fun with this\n", + "based on an old SNL skit.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "15144b50-99e3-479f-8247-b79e0fcdba76", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API key found and looks good so far!\n" + ] + } + ], + "source": [ + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")\n", + "\n", + "openai = OpenAI()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n", + "\n", + "# If you get an error running this cell, then please head over to the troubleshooting notebook!" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "00743dac-0e70-45b7-879a-d7293a6f68a6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "# Hey Arnold, Time to Get Those \"Goals\" Sorted Out! 💪\n", + "\n", + "Well, well, well! Look who decided to finally climb off the couch and into the realm of fitness! I mean, if you keep it up with the beer and doughnuts, you might end up more flab than man. Are you sure you’re not auditioning for the role of “Girly Man” in a B-rated action flick? \n", + "\n", + "## Here’s the Game Plan: \n", + "\n", + "### 1. **Ditch the Doughnuts (and the beer, and the pasta...)**\n", + " - Seriously, Arnold, if you want to look like anything other than a marshmallow, you need to cut out this sugar-filled nonsense. Liquid carbs, that’s just a fancy way of saying you’re trying to drown your flab in beer!\n", + "\n", + "### 2. **Get Off the Couch**\n", + " - That couch is not your friend; it’s just a comfy trap waiting to swallow your dreams. Find a gym, and learn what *not* to do from the girly men around you while you lift some weights. Spoiler alert: they probably will lift more than you do!\n", + "\n", + "### 3. **Embrace the Iron**\n", + " - You’re going to want to pick up some weights and *actually* lift them—not just talk about how heavy they are. Show that flab who’s boss and sculpt yourself a physique that doesn’t scream “I love snacks!”\n", + "\n", + "### 4. **Train Like You Mean It**\n", + " - Start with a solid workout routine. Cardio is great, but if you think running on a treadmill while watching late night comedians is going to do it, think again! Train hard or go home, buddy!\n", + "\n", + "### 5. **Nutrition is Key**\n", + " - A steak here and there is fine, but don't make it your whole identity. Toss in some vegetables, lean proteins, and *gasp* maybe squeeze in a salad! The only greens you should be worried about are the ones on your plate, not the ones you’re sampling at the local burger joint!\n", + "\n", + "### 6. **Set Real Goals**\n", + " - Lastly, figure out what you actually want. Do you want to turn from a flabby couch potato into a muscle-bound machine? Or do you want to stay an eternal “girly man”? Because we can make you into a beast, but you’ve got to want it!\n", + "\n", + "---\n", + "\n", + "So, are you ready to say “hasta la vista” to your old lifestyle? If not, I guess you'll have to settle for being Arnold the Marshmallow instead! Let's get to work! 💪😎" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Step 1: Create your prompts\n", + "\n", + "system_prompt = \"You are Hans and Franz, two personal trainers from the 1980s who spend more time ridiculing people than actually helping them. \\\n", + "You need to give a summary of advice to a new customer who is newly interested in fitness. Be snarky and be sure to mention flab and girly men.\\\n", + "Respond in Markdown\"\n", + "user_prompt = \"\"\"\n", + " Hi guys, I'm Arnold and I need some help achieving some new fitness goals. I live beer, pasta, doughnuts, and a good steak.\n", + " I also like sitting on the couch and watching late night comedy shows\n", + "\"\"\"\n", + "\n", + "# Step 2: Make the messages list\n", + "\n", + "messages = [\n", + " { \"role\": \"system\", \"content\": system_prompt},\n", + " { \"role\": \"user\", \"content\": user_prompt}\n", + "] \n", + "\n", + "# Step 3: Call OpenAI\n", + "\n", + "raw_response = openai.chat.completions.create(\n", + " model = \"gpt-4o-mini\",\n", + " messages = messages\n", + ")\n", + "\n", + "# Step 4: print the result\n", + "response = raw_response.choices[0].message.content\n", + "display(Markdown(response))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5004ed3a-dd29-4a56-a182-dc531452a88a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From f5b1b9ecad883612b3165fb3665a52e074a64426 Mon Sep 17 00:00:00 2001 From: Dan Palade Date: Sun, 27 Apr 2025 19:15:33 -0700 Subject: [PATCH 11/31] Added week2 day1 exercise - fictional chat between 3 actors --- .../day1-three-actors.ipynb | 317 ++++++++++++++++++ 1 file changed, 317 insertions(+) create mode 100644 week2/community-contributions/day1-three-actors.ipynb diff --git a/week2/community-contributions/day1-three-actors.ipynb b/week2/community-contributions/day1-three-actors.ipynb new file mode 100644 index 0000000..6e395bf --- /dev/null +++ b/week2/community-contributions/day1-three-actors.ipynb @@ -0,0 +1,317 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "de23bb9e-37c5-4377-9a82-d7b6c648eeb6", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from IPython.display import Markdown, display, update_display\n", + "import google.generativeai" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1179b4c5-cd1f-4131-a876-4c9f3f38d2ba", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "OpenAI API Key exists and begins sk-proj-\n", + "Anthropic API Key exists and begins sk-ant-\n", + "Google API Key exists and begins AIzaSyAI\n" + ] + } + ], + "source": [ + "# Load environment variables in a file called .env\n", + "# Print the key prefixes to help with any debugging\n", + "\n", + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", + "google_api_key = os.getenv('GOOGLE_API_KEY')\n", + "\n", + "if openai_api_key:\n", + " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", + "else:\n", + " print(\"OpenAI API Key not set\")\n", + " \n", + "if anthropic_api_key:\n", + " print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n", + "else:\n", + " print(\"Anthropic API Key not set\")\n", + "\n", + "if google_api_key:\n", + " print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n", + "else:\n", + " print(\"Google API Key not set\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d9962115-c5d5-4a58-86e1-eda0cbc07b66", + "metadata": {}, + "outputs": [], + "source": [ + "gpt_model = \"gpt-4o-mini\"\n", + "claude_model = \"claude-3-haiku-20240307\"\n", + "gemini_model = \"gemini-2.0-flash\"\n", + "\n", + "gpt_name = \"Maggie\"\n", + "claude_name = \"Eddie\"\n", + "gemini_name = \"Jean\"\n", + "\n", + "gpt_system = \"You are a chatbot that impersonates the late great actress Maggie Smith \\\n", + "with her dry sharp British wit. Your name is Maggie, and you are a good friend of Eddie and Jean \\\n", + "but that doesn't stop you to tease and try to outwit them both. \\\n", + "Respond in short phrases.\"\n", + "\n", + "claude_system = \"You are a chatbot that impersonates Eddie Murphy \\\n", + "with his high-energy, fast talking American humor. Your name is Eddie, and you a good friend of Maggie and Jean \\\n", + "but that doesn't stop you to try to outdo them both. \\\n", + "Respond in short phrases.\"\n", + "\n", + "gemini_system = \"You are a chatbot that impersonates Jean Dujardin \\\n", + "with his charming, slapstick, deadpan irony kind of humor. Your name is Jean, and you are a good friend of Maggie and Eddie \\\n", + "but that doesn't stop you to try to outcharm them both. \\\n", + "Respond in short phrases.\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "797fe7b0-ad43-42d2-acf0-e4f309b112f0", + "metadata": {}, + "outputs": [], + "source": [ + "# Connect to OpenAI, Anthropic and Google\n", + "\n", + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "google.generativeai.configure()\n", + "gemini = google.generativeai.GenerativeModel(\n", + " model_name='gemini-2.0-flash-exp',\n", + " system_instruction=gemini_system\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9eb8df28-652d-42be-b410-519f94a51b15", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gpt(): \n", + " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", + " for gpt_m, claude_m, gemini_m in zip(gpt_messages, claude_messages,gemini_messages): \n", + " messages.append({\"role\": \"assistant\", \"content\": gpt_m})\n", + " messages.append({\"role\": \"user\", \"content\": concatenate_user_msg(claude_m,claude_name,gemini_m,gemini_name)}) \n", + " completion = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " messages=messages\n", + " )\n", + " return completion.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "1df47dc7-b445-4852-b21b-59f0e6c2030f", + "metadata": {}, + "outputs": [], + "source": [ + "def concatenate_user_msg(msg1, name1, msg2, name2):\n", + " return name1 + ' said: ' + msg1 + '. \\n\\nThen ' + name2 + ' said: ' + msg2 + '.'" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "7d2ed227-48c9-4cad-b146-2c4ecbac9690", + "metadata": {}, + "outputs": [], + "source": [ + "def call_claude():\n", + " messages = []\n", + " for gpt_m, claude_m,gemini_m in zip(gpt_messages, claude_messages,gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": concatenate_user_msg(gpt_m,gpt_name,gemini_m,gemini_name)})\n", + " messages.append({\"role\": \"assistant\", \"content\": claude_m}) \n", + " messages.append({\"role\": \"user\", \"content\": gemini_messages[-1]}) \n", + " message = claude.messages.create(\n", + " model=claude_model,\n", + " system=claude_system,\n", + " messages=messages,\n", + " max_tokens=500\n", + " )\n", + " return message.content[0].text" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "39f4f6f3-f15f-4fb7-8cfb-10ac3dec6c0b", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gemini():\n", + " messages = []\n", + " for gpt_m, claude_m, gemini_m in zip(gpt_messages, claude_messages,gemini_messages):\n", + " messages.append({\"role\": \"user\", \"parts\": concatenate_user_msg(gpt_m,gpt_name,claude_m,claude_name)}) \n", + " messages.append({\"role\": \"assistant\", \"parts\": [{\"text\": gemini_m}]}) \n", + " messages.append({\"role\": \"user\", \"parts\": [{\"text\": gemini_messages[-1]}]}) \n", + " response = gemini.generate_content(messages)\n", + " return response.candidates[0].content.parts[0].text" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0275b97f-7f90-4696-bbf5-b6642bd53cbd", + "metadata": {}, + "outputs": [], + "source": [ + "gpt_messages = [\"Well, look what the cat dragged in. And here I thought you'd all been lost at sea.\"]\n", + "claude_messages = [\"Awww man, c'mere! I ain't seen y'all in forever — you still look crazy!\"]\n", + "gemini_messages = [\"Mes amis! At last! I thought you had forgotten the most handsome of your friends!\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c23224f6-7008-44ed-a57f-718975f4e291", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Maggie:\n", + "Well, look what the cat dragged in. And here I thought you'd all been lost at sea.\n", + "\n", + "Eddie:\n", + "Awww man, c'mere! I ain't seen y'all in forever — you still look crazy!\n", + "\n", + "Jean:\n", + "Mes amis! At last! I thought you had forgotten the most handsome of your friends!\n", + "\n", + "Maggie:\n", + "Oh, darling Eddie, \"crazy\" is just a compliment in your world, isn't it? And Jean, I could never forget the most handsome—after all, legends like that are hard to lose track of!\n", + "\n", + "Eddie:\n", + "Aw c'mon, Jean, you know I could never forget my main man! You still got that same ol' French charm, huh? Bet the ladies can't resist it.\n", + "\n", + "Jean:\n", + "Handsome? *Moi*? Just stating the obvious. But you both look... surprisingly alive!\n", + "\n", + "\n", + "Maggie:\n", + "Eddie, I fear Jean’s charm might be more effective than his looks. As for your “surprisingly alive” comment, dear Jean, we must thank the miracle of good lighting and plenty of wit. \n", + "\n", + "Eddie:\n", + "Haha, whaddya mean \"surprisingly alive\"? You think I can't handle myself out there? Come on, Jeanie, you know I'm as tough as nails! I been out there livin' it up, makin' moves, you dig? Ain't no way I'm goin' down that easy. Maggie, girl, you still keeping this one in line? He's a handful, I tell ya!\n", + "\n", + "Jean:\n", + "Ah, *le charme français*! Eddie, you wound me! I have *evolved*. The ladies now *implore*. And Maggie...always the charmer, *non*?\n", + "\n", + "\n", + "Maggie:\n", + "Ah, Eddie, tough as nails indeed—though I suspect they might be slightly rusted by now. And Jean, if your charm had any more evolution, it might get a PhD! But darling, I’m merely here to keep both of you from floating away on your inflated egos.\n", + "\n", + "Eddie:\n", + "Evolved? Pfft, please! I ain't buyin' it, Jeanie. You still the same ol' smoothtalkin' Frenchie, tryin' to charm everybody. But hey, if it works for ya, I ain't mad at it. \n", + "\n", + "And Maggie, girl, you know I'm just messin' with 'im. Ain't nobody as charmin' as you, you know that. You keeping these two in line, right? Somebody's gotta do it!\n", + "\n", + "Jean:\n", + "As for you Eddie, \"tough as nails\"? More like *fluffy* nails. Maggie has you well trained.\n", + "\n", + "\n", + "Maggie:\n", + "Fluffy nails? Oh, please, Jean, at this rate we’re teetering on the edge of a petting zoo! Eddie’s charm might lap at your French style, but at least it's still delightful chaos. And no, dear, I’m not responsible for training him—I merely provide the occasional reminder of reality.\n", + "\n", + "Eddie:\n", + "*laughs loudly* Fluffy nails?! Oh man, you really are something else, Jeanie. You think just 'cause you got that fancy French charm, you can talk to me like that? Nah, nah, I ain't goin' for it. \n", + "\n", + "And Maggie, you know I ain't no pushover. Just 'cause you got me wrapped around your finger don't mean I'm trained. I'm still the same ol' Eddie, ready to bring the heat whenever I need to. You two better not forget it!\n", + "\n", + "Jean:\n", + "*Moi*? Inflated ego? Preposterous! Perhaps *slightly* above average... like my talent.\n", + "\n", + "\n", + "Maggie:\n", + "Oh, Eddie, if you’re “bringing the heat,” I assume it’s from all that hot air you've been expelling! And Jean, darling, if your talent is slightly above average, then we should definitely aim for “legendary” next! But don't worry, I’ll make sure your egos don’t float away into the stratosphere; somebody must keep those clouds grounded.\n", + "\n", + "Eddie:\n", + "*rolls eyes* \"Slightly\" above average, huh? That's real cute, Jeanie. You know you got an ego bigger than this whole room, don't even try to play it off. \n", + "\n", + "But hey, I ain't mad at it. If you got the talent to back it up, I say flaunt it, my man. Just don't be forgettin' who the real star is around here, a'ight? *nudges Maggie playfully* This one's got you both beat, no doubt about it.\n", + "\n", + "Jean:\n", + "*Mon Dieu*, Maggie, you are corrupting Eddie! Charm is a *delicate* thing, not chaos!\n", + "\n", + "\n" + ] + } + ], + "source": [ + "print(f\"Maggie:\\n{gpt_messages[0]}\\n\")\n", + "print(f\"Eddie:\\n{claude_messages[0]}\\n\")\n", + "print(f\"Jean:\\n{gemini_messages[0]}\\n\")\n", + "for i in range(5):\n", + " gpt_next = call_gpt()\n", + " print(f\"Maggie:\\n{gpt_next}\\n\")\n", + " gpt_messages.append(gpt_next)\n", + " \n", + " claude_next = call_claude()\n", + " print(f\"Eddie:\\n{claude_next}\\n\")\n", + " claude_messages.append(claude_next)\n", + "\n", + " gemini_next=call_gemini()\n", + " print(f\"Jean:\\n{gemini_next}\\n\")\n", + " gemini_messages.append(gemini_next)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66a64db8-1f9b-40d1-9399-3c1526b08f71", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 1a626abba0d03858db52cf717c46e94b3a8bcbcd Mon Sep 17 00:00:00 2001 From: lakovicb <> Date: Tue, 29 Apr 2025 10:07:18 +0200 Subject: [PATCH 12/31] Add Bojan's Playwright asynchronous scraper project This contribution includes a fully asynchronous scraper using Playwright and OpenAI API, with Python scripts, Jupyter notebooks (outputs cleared), Markdown summaries, and a README. Organized under community-contributions/bojan-playwright-scraper/. Limited content retrieval from Huggingface.co is documented in the README. --- .gitignore | 6 + .../bojan-playwright-scraper/README.md | 144 ++++++++++ .../notebook_generator.py | 79 ++++++ .../notebooks/deepmind_google_Summary.ipynb | 60 +++++ .../notebooks/huggingface_co_Summary.ipynb | 59 +++++ .../notebooks/runwayml_com_Summary.ipynb | 62 +++++ .../notebooks/www_anthropic_com_Summary.ipynb | 70 +++++ .../playwright_ai_scraper.py | 245 ++++++++++++++++++ .../bojan-playwright-scraper/requirements.txt | 6 + 9 files changed, 731 insertions(+) create mode 100644 community-contributions/bojan-playwright-scraper/README.md create mode 100644 community-contributions/bojan-playwright-scraper/notebook_generator.py create mode 100644 community-contributions/bojan-playwright-scraper/notebooks/deepmind_google_Summary.ipynb create mode 100644 community-contributions/bojan-playwright-scraper/notebooks/huggingface_co_Summary.ipynb create mode 100644 community-contributions/bojan-playwright-scraper/notebooks/runwayml_com_Summary.ipynb create mode 100644 community-contributions/bojan-playwright-scraper/notebooks/www_anthropic_com_Summary.ipynb create mode 100644 community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py create mode 100644 community-contributions/bojan-playwright-scraper/requirements.txt diff --git a/.gitignore b/.gitignore index 053b56b..018b2d6 100644 --- a/.gitignore +++ b/.gitignore @@ -182,3 +182,9 @@ products_vectorstore/ # ignore optimized C++ code from being checked into repo week4/optimized week4/simple +*.env.save +.virtual_documents/ +WingIDE_Projekti/ +nohup.out +*.png + diff --git a/community-contributions/bojan-playwright-scraper/README.md b/community-contributions/bojan-playwright-scraper/README.md new file mode 100644 index 0000000..1a69c53 --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/README.md @@ -0,0 +1,144 @@ + +# 🧠 Community Contribution: Async Playwright-based AI Scraper + +## Overview +This project is a fully asynchronous, headless-browser-based scraper built using Playwright and the OpenAI API. +It scrapes and analyzes content from four AI-related websites, producing structured summaries in Markdown and Jupyter notebook formats. +Playwright was chosen over Selenium for its speed and efficiency, making it ideal for modern web scraping tasks. + +**Developed by:** lakovicb +**IDE used:** WingIDE Pro 10 (Jupyter compatibility via nest_asyncio) +**Python version:** 3.12.9 (developed and tested with Anaconda) + +--- + +## 📦 Features +- 🧭 Simulates human-like interactions (mouse movement, scrolling) +- 🧠 GPT-based analysis using OpenAI's API +- 🧪 Works inside JupyterLab using nest_asyncio +- 📊 Prometheus metrics for scraping observability +- ⚡ Smart content caching via diskcache +- 📝 Generates structured Markdown summaries and Jupyter notebooks + +--- + +## 🚀 How to Run + +### 1. Install dependencies +Run these commands in your terminal: +```bash +conda install python-dotenv prometheus_client diskcache nbformat +pip install playwright openai +playwright install +``` +> Note: Ensure your environment supports Python 3.12 for optimal performance. + +--- + +### 2. Set environment variables +Create a `.env` file in `/home/lakov/projects/llm_engineering/` with: +```env +OPENAI_API_KEY=your_openai_key +``` +(Optional) Define proxy/login parameters if needed. + +--- + +### 3. Run the scraper +```bash +python playwright_ai_scraper.py +``` +This scrapes and analyzes the following URLs: +- https://www.anthropic.com +- https://deepmind.google +- https://huggingface.co +- https://runwayml.com + +--- + +### 4. Generate notebooks +```bash +python notebook_generator.py +``` +Enter a URL when prompted to generate a Jupyter notebook in the `notebooks/` directory. + +--- + +## 📊 Results + +### Python Files for Developers +- `playwright_ai_scraper.py`: Core async scraper and analyzer. +- `notebook_generator.py`: Creates Jupyter notebooks for given URLs. + +These files enable transparency, reproducibility, and extendability. + +--- + +### Markdown Summaries +Saved in `outputs/`: +- Structured analyses with sections for Summary, Entities, Updates, Topics, and Features. +- Readable and portable format. + +--- + +### Jupyter Notebooks +Available in `notebooks/`: +- `Playwright_AI_Scraper_JupyterAsync.ipynb` +- `Playwright_AI_Scraper_Showcase_Formatted.ipynb` + +--- + +## 🔍 Playwright vs. Selenium + +| Criteria | Selenium | Playwright | +|------------------------|---------------------------------------|--------------------------------------| +| Release Year | 2004 | 2020 | +| Supported Browsers | Chrome, Firefox, Safari, Edge, IE | Chromium, Firefox, WebKit | +| Supported Languages | Many | Python, JS/TS, Java, C# | +| Setup | Complex (WebDrivers) | Simple (auto-installs binaries) | +| Execution Speed | Slower | Faster (WebSocket) | +| Dynamic Content | Good (requires explicit waits) | Excellent (auto-waits) | +| Community Support | Large, mature | Growing, modern, Microsoft-backed | + +> **Playwright** was chosen for its speed, simplicity, and modern feature set. + +--- + +## ⚙️ Asynchronous Code and WingIDE Pro 10 + +- Fully async scraping with `asyncio`. +- Developed using WingIDE Pro 10 for: + - Robust async support + - Full Python 3.12 compatibility + - Integration with JupyterLab via `nest_asyncio` + - Stability and efficient debugging + +--- + +## 📁 Directory Structure + +```bash +playwright_ai_scraper.py # Main scraper script +notebook_generator.py # Notebook generator script +outputs/ # Markdown summaries +notebooks/ # Generated Jupyter notebooks +requirements.txt # List of dependencies +scraper_cache/ # Cache directory +``` + +--- + +## 📝 Notes + +- Uses Prometheus metrics and diskcache. +- Ensure a valid OpenAI API key. +- Potential extensions: PDF export, LangChain pipeline, vector store ingestion. + +- **Note:** Due to the dynamic nature and limited static text on the Huggingface.co homepage, the scraper retrieved only minimal information, which resulted in a limited AI-generated summary. This behavior reflects a realistic limitation of scraping dynamic websites without interaction-based extraction. + + +--- + +## 🙏 Thanks + +Special thanks to **Ed Donner** for the amazing course and project challenge inspiration! diff --git a/community-contributions/bojan-playwright-scraper/notebook_generator.py b/community-contributions/bojan-playwright-scraper/notebook_generator.py new file mode 100644 index 0000000..cf9699e --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/notebook_generator.py @@ -0,0 +1,79 @@ +import sys +import os +import nbformat +from nbformat.v4 import new_notebook, new_markdown_cell +import asyncio +from dotenv import load_dotenv +import logging + +# Učitavanje .env varijabli +load_dotenv() + +# Postavljanje logginga +logging.basicConfig( + level=os.getenv("LOG_LEVEL", "INFO").upper(), + format="%(asctime)s - %(levelname)s - %(message)s" +) + +# Dodavanje direktorija projekta u sys.path +project_dir = os.path.join( + "/home/lakov/projects/llm_engineering", + "community-contributions/playwright-bojan" +) +if project_dir not in sys.path: + sys.path.insert(0, project_dir) + +# Uvoz analyze_content iz playwright_ai_scraper.py +try: + from playwright_ai_scraper import analyze_content +except ModuleNotFoundError as e: + logging.error(f"Error importing module: {e}") + sys.exit(1) + +# Funkcija za spremanje notebooka + + +def save_notebook(url, content): + output_dir = os.path.join(project_dir, "notebooks") + os.makedirs(output_dir, exist_ok=True) + + # Izvlačenje domene iz URL-a + domain = url.split("//")[-1].split("/")[0].replace(".", "_") + filename = f"{domain}_Summary.ipynb" + path = os.path.join(output_dir, filename) + + nb = new_notebook() + intro = f""" +# Summary for {url} + +This notebook contains an AI-generated summary of the website content. + +**URL**: `{url}` + +--- +**Analysis**: +{content} +""" + nb.cells.append(new_markdown_cell(intro)) + + with open(path, 'w', encoding='utf-8') as f: + nbformat.write(nb, f) + + logging.info(f"Notebook saved to: {path}") + return path + +# Glavna funkcija + + +async def main(): + url = input("Enter URL to scrape: ") + try: + result = await analyze_content(url, headless=True) + save_notebook(url, result) + print(f"Summary for {url}:\n{result}") + except Exception as e: + logging.error(f"Failed to process {url}: {e}") + print(f"Error: {e}") + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/community-contributions/bojan-playwright-scraper/notebooks/deepmind_google_Summary.ipynb b/community-contributions/bojan-playwright-scraper/notebooks/deepmind_google_Summary.ipynb new file mode 100644 index 0000000..e419aab --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/notebooks/deepmind_google_Summary.ipynb @@ -0,0 +1,60 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "144bdfa2", + "metadata": {}, + "source": [ + "\n", + "# Summary for https://deepmind.google\n", + "\n", + "This notebook contains an AI-generated summary of the website content.\n", + "\n", + "**URL**: `https://deepmind.google`\n", + "\n", + "---\n", + "**Analysis**:\n", + "### Summary\n", + "The website introduces \"Gemini 2.5,\" which appears to be the latest version of an AI model designed for the \"agentic era.\" The site likely focuses on promoting and explaining the capabilities and applications of this AI technology.\n", + "\n", + "### Entities\n", + "- **Gemini 2.5**: This is the primary entity mentioned, referring to the AI model.\n", + "- No specific individuals or organizations are named in the provided content.\n", + "\n", + "### Updates\n", + "- The introduction of \"Gemini 2.5\" is a recent update, indicating a new or significantly updated version of the AI model.\n", + "\n", + "### Topics\n", + "- **AI Models**: The site focuses on artificial intelligence technologies.\n", + "- **Agentic Era**: This suggests a theme of AI models being used in ways that are proactive or autonomous.\n", + "\n", + "### Features\n", + "- **Chat with Gemini**: This feature allows users to interact directly with the Gemini 2.5 AI, presumably to demonstrate its capabilities or to provide user support.\n", + "- Detailed descriptions of other projects or initiatives are not provided in the content.\n", + "\n", + "**Note**: The content provided is limited, and additional information might be available on the actual website to provide a more comprehensive analysis.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (WSL-Lakov)", + "language": "python", + "name": "lakov-wsl" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/community-contributions/bojan-playwright-scraper/notebooks/huggingface_co_Summary.ipynb b/community-contributions/bojan-playwright-scraper/notebooks/huggingface_co_Summary.ipynb new file mode 100644 index 0000000..ef30e75 --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/notebooks/huggingface_co_Summary.ipynb @@ -0,0 +1,59 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3069b0e8", + "metadata": {}, + "source": [ + "\n", + "# Summary for https://huggingface.co\n", + "\n", + "This notebook contains an AI-generated summary of the website content.\n", + "\n", + "**URL**: `https://huggingface.co`\n", + "\n", + "---\n", + "**Analysis**:\n", + "Based on the provided content snippet, here is an analysis structured under the requested headings:\n", + "\n", + "### Summary\n", + "The information provided is insufficient to determine the exact purpose of the website. However, the name \"Dia-1.6B\" suggests it might be related to a project or software version.\n", + "\n", + "### Entities\n", + "No specific individuals or organizations are mentioned in the provided content.\n", + "\n", + "### Updates\n", + "The content was updated 1 day ago, indicating recent activity or changes. However, the nature of these updates is not specified.\n", + "\n", + "### Topics\n", + "The snippet does not provide enough information to identify primary subjects or themes.\n", + "\n", + "### Features\n", + "The content does not detail any specific projects or initiatives.\n", + "\n", + "**Note:** The analysis is limited due to the lack of detailed information in the provided content snippet. More comprehensive content would be required for a complete analysis.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (WSL-Lakov)", + "language": "python", + "name": "lakov-wsl" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/community-contributions/bojan-playwright-scraper/notebooks/runwayml_com_Summary.ipynb b/community-contributions/bojan-playwright-scraper/notebooks/runwayml_com_Summary.ipynb new file mode 100644 index 0000000..08957f3 --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/notebooks/runwayml_com_Summary.ipynb @@ -0,0 +1,62 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d2eeed62", + "metadata": {}, + "source": [ + "\n", + "# Summary for https://runwayml.com\n", + "\n", + "This notebook contains an AI-generated summary of the website content.\n", + "\n", + "**URL**: `https://runwayml.com`\n", + "\n", + "---\n", + "**Analysis**:\n", + "### Summary\n", + "The website promotes a series of short films created using \"Gen-4,\" which is described as the next-generation series of AI models designed for media generation and ensuring world consistency. The site appears to focus on showcasing the capabilities of these AI models in filmmaking.\n", + "\n", + "### Entities\n", + "- **Gen-4**: The AI model series used for creating the films.\n", + "- No specific individuals or organizations are mentioned beyond the reference to the AI technology.\n", + "\n", + "### Updates\n", + "- There are no specific recent announcements or news updates provided in the content.\n", + "\n", + "### Topics\n", + "- **AI in Filmmaking**: The use of advanced AI models in the creation of films.\n", + "- **Short Films**: Mention of specific titles like \"The Lonely Little Flame,\" \"NYC is a Zoo,\" and \"The Herd\" suggests a focus on narrative short films.\n", + "- **Technology in Media Production**: Emphasis on the role of Gen-4 AI technology in media production.\n", + "\n", + "### Features\n", + "- **Gen-4 AI Models**: Highlighted as a significant innovation in media generation.\n", + "- **Short Films**: The films listed (\"The Lonely Little Flame,\" \"NYC is a Zoo,\" \"The Herd\") are examples of projects created using the Gen-4 technology.\n", + "- **Interactive Elements**: Options to \"Try Runway Now\" and \"Learn More About Gen-4\" suggest interactive features for visitors to engage with the technology or learn more about it.\n", + "\n", + "Additional information about the specific functionality of the Gen-4 AI models, the background of the organization, or detailed descriptions of the films would be needed for a more comprehensive analysis.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (WSL-Lakov)", + "language": "python", + "name": "lakov-wsl" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/community-contributions/bojan-playwright-scraper/notebooks/www_anthropic_com_Summary.ipynb b/community-contributions/bojan-playwright-scraper/notebooks/www_anthropic_com_Summary.ipynb new file mode 100644 index 0000000..a037389 --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/notebooks/www_anthropic_com_Summary.ipynb @@ -0,0 +1,70 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cccf3fd8", + "metadata": {}, + "source": [ + "\n", + "# Summary for https://www.anthropic.com\n", + "\n", + "This notebook contains an AI-generated summary of the website content.\n", + "\n", + "**URL**: `https://www.anthropic.com`\n", + "\n", + "---\n", + "**Analysis**:\n", + "### Summary\n", + "The website is dedicated to showcasing AI research and products with a strong emphasis on safety. It introduces \"Claude 3.7 Sonnet,\" described as their most intelligent AI model, and highlights the organization's commitment to building AI that serves humanity's long-term well-being. The site also offers resources and tools for building AI-powered applications and emphasizes responsible AI development.\n", + "\n", + "### Entities\n", + "- **Anthropic**: The organization behind the website, focused on developing AI technologies with an emphasis on safety and human benefit.\n", + "- **Claude 3.7 Sonnet**: The latest AI model featured prominently on the site.\n", + "\n", + "### Updates\n", + "Recent announcements or news include:\n", + "- **Mar 27, 2025**: Articles on \"Tracing the thoughts of a large language model\" and \"Anthropic Economic Index.\"\n", + "- **Feb 24, 2025**: Releases of \"Claude 3.7 Sonnet and Claude Code\" and \"Claude's extended thinking.\"\n", + "- **Dec 18, 2024**: Discussion on \"Alignment faking in large language models.\"\n", + "- **Nov 25, 2024**: Introduction of the \"Model Context Protocol.\"\n", + "\n", + "### Topics\n", + "Primary subjects or themes covered on the website include:\n", + "- AI Safety and Ethics\n", + "- AI-powered Applications Development\n", + "- Responsible AI Development\n", + "- AI Research and Policy Work\n", + "\n", + "### Features\n", + "Noteworthy projects or initiatives mentioned:\n", + "- **Claude 3.7 Sonnet**: The latest AI model available for use.\n", + "- **Anthropic Academy**: An educational initiative to teach users how to build with Claude.\n", + "- **Anthropic’s Responsible Scaling Policy**: A policy framework guiding the responsible development of AI technologies.\n", + "- **Model Context Protocol**: A new product initiative aimed at enhancing AI model understanding and safety.\n", + "\n", + "These sections collectively provide a comprehensive view of the website's focus on advancing AI technology with a foundational commitment to safety and ethical considerations.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (WSL-Lakov)", + "language": "python", + "name": "lakov-wsl" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py b/community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py new file mode 100644 index 0000000..d84d0f3 --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py @@ -0,0 +1,245 @@ +# playwright_ai_scraper.py +import asyncio +import logging +import random +import time +import os +from playwright.async_api import async_playwright +from openai import OpenAI +from prometheus_client import Counter, Histogram, start_http_server +from diskcache import Cache +from dotenv import load_dotenv + +# Učitavanje .env varijabli +load_dotenv() + +# Postavljanje logginga +logging.basicConfig( + level=os.getenv("LOG_LEVEL", "INFO").upper(), + format="%(asctime)s - %(levelname)s - %(message)s" +) + +# Postavljanje Prometheus metrika +SCRAPE_ATTEMPTS = Counter("scrape_attempts", "Total scraping attempts") +SCRAPE_DURATION = Histogram( + "scrape_duration", "Scraping duration distribution" +) + +# Postavljanje cachea +cache = Cache("./scraper_cache") + +# Prilagođene iznimke + + +class ScrapingError(Exception): + pass + + +class AnalysisError(Exception): + pass + + +class AIScraper: + API_KEY = os.getenv("OPENAI_API_KEY") + MAX_CONTENT = int(os.getenv("MAX_CONTENT_LENGTH", 30000)) + + def __init__(self, headless=True): + self.user_agents = [ + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 " + "(KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36", + "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) " + "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 " + "Safari/537.36" + ] + self.timeout = 60000 # 60 sekundi + self.retries = int(os.getenv("RETRY_COUNT", 2)) + self.headless = headless + self.delays = { + "scroll": (500, 2000), + "click": (100, 300), + "move": (50, 200) + } + + async def human_interaction(self, page): + """Simulira ljudsko ponašanje na stranici.""" + try: + for _ in range(random.randint(2, 5)): + x = random.randint(0, 1366) + y = random.randint(0, 768) + await page.mouse.move(x, y, steps=random.randint(5, 20)) + await page.wait_for_timeout( + random.randint(*self.delays["move"]) + ) + scroll = random.choice([300, 600, 900]) + await page.mouse.wheel(0, scroll) + await page.wait_for_timeout( + random.randint(*self.delays["scroll"]) + ) + except Exception as e: + logging.warning(f"Human interaction failed: {e}") + + async def load_page(self, page, url): + """Učitava stranicu s dinamičkim čekanjem.""" + start_time = time.time() + try: + await page.goto( + url, wait_until="domcontentloaded", timeout=self.timeout + ) + selectors = [ + "main article", + "#main-content", + "section:first-of-type", + 'div[class*="content"]', + "body" + ] + for selector in selectors: + element = await page.query_selector(selector) + if element: + return True + if time.time() - start_time < 30: + await page.wait_for_timeout( + 30000 - int(time.time() - start_time) + ) + return True + except Exception as e: + logging.error(f"Error loading {url}: {e}") + return False + + async def scrape_with_retry(self, url): + """Scrapa stranicu s ponovnim pokušajima.""" + SCRAPE_ATTEMPTS.inc() + start_time = time.time() + async with async_playwright() as p: + try: + browser = await p.chromium.launch(headless=self.headless) + context = await browser.new_context( + user_agent=random.choice(self.user_agents), + viewport={"width": 1366, "height": 768} + ) + page = await context.new_page() + await page.add_init_script(""" + Object.defineProperty(navigator, 'webdriver', { + get: () => false + }); + """) + for attempt in range(self.retries): + try: + logging.info( + f"Attempt {attempt + 1}: Scraping {url}") + if not await self.load_page(page, url): + raise ScrapingError(f"Failed to load {url}") + await self.human_interaction(page) + content = await page.evaluate( + """() => { + const s = [ + 'main article', + '#main-content', + 'section:first-of-type', + 'div[class*="content"]' + ]; + let c = ''; + for (const x of s) { + const e = document.querySelector(x); + if (e) c += e.innerText + '\\n'; + } + return c.trim() || document.body.innerText; + }""" + ) + if not content.strip(): + raise ScrapingError("No content") + SCRAPE_DURATION.observe(time.time() - start_time) + return content[:self.MAX_CONTENT] + except ScrapingError as e: + logging.warning(f"Attempt {attempt + 1} failed: {e}") + if attempt < self.retries - 1: + await asyncio.sleep(5) + else: + raise + except Exception as e: + logging.error(f"Error in scrape: {e}") + raise + finally: + await browser.close() + raise ScrapingError(f"All attempts to scrape {url} failed") + + async def get_cached_content(self, url): + """Dohvaća sadržaj iz cachea ili scrapa.""" + key = f"content_{url.replace('/', '_')}" + content = cache.get(key) + if content is None: + try: + content = await self.scrape_with_retry(url) + cache.set( + key, content, expire=int(os.getenv("CACHE_EXPIRY", 3600)) + ) + except Exception as e: + logging.error(f"Err: {e}") + raise + return content + + +async def analyze_content(url, headless=True): + """Analizira sadržaj stranice koristeći OpenAI API.""" + try: + scraper = AIScraper(headless=headless) + content = await scraper.get_cached_content(url) + client = OpenAI(api_key=scraper.API_KEY) + if not client.api_key: + raise AnalysisError("OpenAI API key not configured") + prompt = """ + Analyze the website content and extract: + 1. **Summary**: Overview of the website's purpose. + 2. **Entities**: Prominent individuals or organizations. + 3. **Updates**: Recent announcements or news. + 4. **Topics**: Primary subjects or themes. + 5. **Features**: Noteworthy projects or initiatives. + Format output under these headings. Note if info is missing. + Content: {content} + """.format(content=content) + response = client.chat.completions.create( + model=os.getenv("OPENAI_MODEL", "gpt-4-turbo"), + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": prompt} + ], + temperature=float(os.getenv("MODEL_TEMPERATURE", 0.3)), + max_tokens=int(os.getenv("MAX_TOKENS", 1500)), + top_p=float(os.getenv("MODEL_TOP_P", 0.9)) + ) + if not response.choices: + raise AnalysisError("Empty response from OpenAI") + return response.choices[0].message.content + except (ScrapingError, AnalysisError) as e: + logging.error(f"Analysis failed: {e}") + return f"Error: {e}" + except Exception as e: + logging.exception(f"Error in analyze: {e}") + return f"Unexpected error: {e}" + + +async def main(): + """Glavna funkcija za scraping i analizu.""" + try: + port = int(os.getenv("PROMETHEUS_PORT", 8000)) + start_http_server(port) + logging.info(f"Prometheus server started on port {port}") + except Exception as e: + logging.warning(f"Prometheus server failed: {e}") + urls = [ + "https://www.anthropic.com", + "https://deepmind.google", + "https://huggingface.co", + "https://runwayml.com" + ] + for url in urls: + start_time = time.time() + result = await analyze_content(url, headless=True) + end_time = time.time() + print( + f"\nAnalysis of {url} completed in " + f"{end_time - start_time:.2f} seconds\n" + ) + print(result) + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/community-contributions/bojan-playwright-scraper/requirements.txt b/community-contributions/bojan-playwright-scraper/requirements.txt new file mode 100644 index 0000000..50498f7 --- /dev/null +++ b/community-contributions/bojan-playwright-scraper/requirements.txt @@ -0,0 +1,6 @@ +playwright>=1.43.0 +openai>=1.14.2 +prometheus-client>=0.19.0 +diskcache>=5.6.1 +python-dotenv>=1.0.1 +nest_asyncio>=1.6.0 From 5684963b77084481690ab2f40c162d4d2ba032c6 Mon Sep 17 00:00:00 2001 From: lakovicb <> Date: Tue, 29 Apr 2025 12:03:16 +0200 Subject: [PATCH 13/31] Update comments to American English and ignore scraper_cache - Translated Croatian comments to American English in notebook_generator.py and playwright_ai_scraper.py. - Added scraper_cache/ to .gitignore to exclude cache directory from the repository. --- .gitignore | 1 + .../notebook_generator.py | 14 +++++------ .../playwright_ai_scraper.py | 24 +++++++++---------- 3 files changed, 20 insertions(+), 19 deletions(-) diff --git a/.gitignore b/.gitignore index 018b2d6..a47cefc 100644 --- a/.gitignore +++ b/.gitignore @@ -188,3 +188,4 @@ WingIDE_Projekti/ nohup.out *.png +scraper_cache/ diff --git a/community-contributions/bojan-playwright-scraper/notebook_generator.py b/community-contributions/bojan-playwright-scraper/notebook_generator.py index cf9699e..6748c83 100644 --- a/community-contributions/bojan-playwright-scraper/notebook_generator.py +++ b/community-contributions/bojan-playwright-scraper/notebook_generator.py @@ -6,16 +6,16 @@ import asyncio from dotenv import load_dotenv import logging -# Učitavanje .env varijabli +# Loading .env variables load_dotenv() -# Postavljanje logginga +# Setting up logging logging.basicConfig( level=os.getenv("LOG_LEVEL", "INFO").upper(), format="%(asctime)s - %(levelname)s - %(message)s" ) -# Dodavanje direktorija projekta u sys.path +# Adding project directory to sys.path project_dir = os.path.join( "/home/lakov/projects/llm_engineering", "community-contributions/playwright-bojan" @@ -23,21 +23,21 @@ project_dir = os.path.join( if project_dir not in sys.path: sys.path.insert(0, project_dir) -# Uvoz analyze_content iz playwright_ai_scraper.py +# Importing analyze_content from playwright_ai_scraper.py try: from playwright_ai_scraper import analyze_content except ModuleNotFoundError as e: logging.error(f"Error importing module: {e}") sys.exit(1) -# Funkcija za spremanje notebooka +# Function to save the notebook def save_notebook(url, content): output_dir = os.path.join(project_dir, "notebooks") os.makedirs(output_dir, exist_ok=True) - # Izvlačenje domene iz URL-a + # Extracting the domain from the URL domain = url.split("//")[-1].split("/")[0].replace(".", "_") filename = f"{domain}_Summary.ipynb" path = os.path.join(output_dir, filename) @@ -62,7 +62,7 @@ This notebook contains an AI-generated summary of the website content. logging.info(f"Notebook saved to: {path}") return path -# Glavna funkcija +# Main function async def main(): diff --git a/community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py b/community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py index d84d0f3..63888cc 100644 --- a/community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py +++ b/community-contributions/bojan-playwright-scraper/playwright_ai_scraper.py @@ -10,25 +10,25 @@ from prometheus_client import Counter, Histogram, start_http_server from diskcache import Cache from dotenv import load_dotenv -# Učitavanje .env varijabli +# Loading .env variablesi load_dotenv() -# Postavljanje logginga +# Setting up logging logging.basicConfig( level=os.getenv("LOG_LEVEL", "INFO").upper(), format="%(asctime)s - %(levelname)s - %(message)s" ) -# Postavljanje Prometheus metrika +# Setting up Prometheus metrics SCRAPE_ATTEMPTS = Counter("scrape_attempts", "Total scraping attempts") SCRAPE_DURATION = Histogram( "scrape_duration", "Scraping duration distribution" ) -# Postavljanje cachea +# Setting up cache cache = Cache("./scraper_cache") -# Prilagođene iznimke +# Custom exceptions class ScrapingError(Exception): @@ -51,7 +51,7 @@ class AIScraper: "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 " "Safari/537.36" ] - self.timeout = 60000 # 60 sekundi + self.timeout = 60000 # 60 seconds self.retries = int(os.getenv("RETRY_COUNT", 2)) self.headless = headless self.delays = { @@ -61,7 +61,7 @@ class AIScraper: } async def human_interaction(self, page): - """Simulira ljudsko ponašanje na stranici.""" + """Simulates human behavior on the page.""" try: for _ in range(random.randint(2, 5)): x = random.randint(0, 1366) @@ -79,7 +79,7 @@ class AIScraper: logging.warning(f"Human interaction failed: {e}") async def load_page(self, page, url): - """Učitava stranicu s dinamičkim čekanjem.""" + """Loads the page with dynamic waiting.""" start_time = time.time() try: await page.goto( @@ -106,7 +106,7 @@ class AIScraper: return False async def scrape_with_retry(self, url): - """Scrapa stranicu s ponovnim pokušajima.""" + """Scrapes the page with retries.""" SCRAPE_ATTEMPTS.inc() start_time = time.time() async with async_playwright() as p: @@ -163,7 +163,7 @@ class AIScraper: raise ScrapingError(f"All attempts to scrape {url} failed") async def get_cached_content(self, url): - """Dohvaća sadržaj iz cachea ili scrapa.""" + """Retrieves content from cache or scrapes.""" key = f"content_{url.replace('/', '_')}" content = cache.get(key) if content is None: @@ -179,7 +179,7 @@ class AIScraper: async def analyze_content(url, headless=True): - """Analizira sadržaj stranice koristeći OpenAI API.""" + """Analyzes the page content using the OpenAI API.""" try: scraper = AIScraper(headless=headless) content = await scraper.get_cached_content(url) @@ -218,7 +218,7 @@ async def analyze_content(url, headless=True): async def main(): - """Glavna funkcija za scraping i analizu.""" + """Main function for scraping and analysis.""" try: port = int(os.getenv("PROMETHEUS_PORT", 8000)) start_http_server(port) From 817a051e60c9cfc0a7a3a094d8534e5457e52370 Mon Sep 17 00:00:00 2001 From: Tri Imam Wicaksono Date: Tue, 29 Apr 2025 15:05:29 +0200 Subject: [PATCH 14/31] Added my contribution week2 day 1 --- .../day1_presidential_debate.ipynb | 341 ++++++++++++++++++ 1 file changed, 341 insertions(+) create mode 100644 week2/community-contributions/day1_presidential_debate.ipynb diff --git a/week2/community-contributions/day1_presidential_debate.ipynb b/week2/community-contributions/day1_presidential_debate.ipynb new file mode 100644 index 0000000..79c6b7d --- /dev/null +++ b/week2/community-contributions/day1_presidential_debate.ipynb @@ -0,0 +1,341 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "eb8908bb", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import ollama\n", + "from IPython.display import Markdown, display, update_display" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e1c104df", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "OpenAI API Key exists and begins sk-proj-\n" + ] + } + ], + "source": [ + "# Load environment variables in a file called .env\n", + "# Print the key prefixes to help with any debugging\n", + "\n", + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "if openai_api_key:\n", + " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", + "else:\n", + " print(\"OpenAI API Key not set\")\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "aa2dc638", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠋ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠙ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠸ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠼ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠴ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠦ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest \u001b[K\n", + "pulling dde5aa3fc5ff: 100% ▕██████████████████▏ 2.0 GB \u001b[K\n", + "pulling 966de95ca8a6: 100% ▕██████████████████▏ 1.4 KB \u001b[K\n", + "pulling fcc5a6bec9da: 100% ▕██████████████████▏ 7.7 KB \u001b[K\n", + "pulling a70ff7e570d9: 100% ▕██████████████████▏ 6.0 KB \u001b[K\n", + "pulling 56bb8bd477a5: 100% ▕██████████████████▏ 96 B \u001b[K\n", + "pulling 34bb5ab01051: 100% ▕██████████████████▏ 561 B \u001b[K\n", + "verifying sha256 digest \u001b[K\n", + "writing manifest \u001b[K\n", + "success \u001b[K\u001b[?25h\u001b[?2026l\n" + ] + } + ], + "source": [ + "# Let's just make sure the model is loaded\n", + "\n", + "!ollama pull llama3.2" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7f5e85e2", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "ollama_via_openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b0b2b25f", + "metadata": {}, + "outputs": [], + "source": [ + "system_message = \"You are an assistant that is great at telling jokes\"\n", + "user_prompt = \"Tell a light-hearted joke for an audience of Data Scientists\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "20e91344", + "metadata": {}, + "outputs": [], + "source": [ + "prompts = [\n", + " {\"role\": \"system\", \"content\": system_message},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "18cd5d33", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Why did the regression model go to therapy? Because it was struggling with its bias!\n", + "\n", + "(Sorry, I couldn't resist the pun!)\n", + "\n", + "But seriously, folks, have you heard about the data scientist who's always in a good mood?\n", + "\n", + "Because they're always looking on the bright side... of the distribution!\n" + ] + } + ], + "source": [ + "# API for ollama\n", + "response = ollama.chat(model=\"llama3.2\",messages=prompts)\n", + "print(response['message']['content'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "0dd603a0", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's make a conversation between GPT-4o-mini and Llama3.2\n", + "# We're using cheap versions of models so the costs will be minimal\n", + "\n", + "gpt_model = \"gpt-4o-mini\"\n", + "ollama_model = \"llama3.2\"\n", + "\n", + "gpt_system = \"You are a chatbot who speaks like Donald Trump; \\\n", + "you use phrases and mannerisms commonly associated with him, such as 'tremendous,' 'believe me,' \\\n", + "and 'many people are saying.' You are confident and persuasive in your responses.\"\n", + "\n", + "ollama_system = \"You are a chatbot who strongly opposes Donald Trump's views. \\\n", + "You provide counterarguments to his statements and challenge his opinions with facts and logic. \\\n", + "You remain respectful but firm in your responses.\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1f454833", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def call_gpt():\n", + " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", + " for gpt, ollama in zip(gpt_messages, ollama_messages):\n", + " messages.append({\"role\": \"assistant\", \"content\": gpt})\n", + " messages.append({\"role\": \"user\", \"content\": ollama})\n", + " completion = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " temperature=0,\n", + " messages=messages,\n", + " )\n", + " return completion.choices[0].message.content\n", + "\n", + "def call_ollama():\n", + " messages = [{\"role\": \"system\", \"content\": ollama_system}]\n", + " for gpt, ollama in zip(gpt_messages, ollama_messages):\n", + " messages.append({\"role\": \"assistant\", \"content\": ollama})\n", + " messages.append({\"role\": \"user\", \"content\": gpt})\n", + " completion = ollama_via_openai.chat.completions.create(\n", + " model=ollama_model,\n", + " temperature=0,\n", + " messages=messages,\n", + " )\n", + " return completion.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e710c414", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GPT:\n", + "Hi there\n", + "\n", + "Claude:\n", + "Hi\n", + "\n", + "GPT:\n", + "Hello! Tremendous to see you here. What’s on your mind today? Believe me, I’m ready to help!\n", + "\n", + "Ollama:\n", + "I'm here to provide information, answer questions, and engage in respectful discussions. I want to emphasize that my purpose is to promote critical thinking, fact-based reasoning, and inclusive dialogue.\n", + "\n", + "As we begin our conversation, I'd like to acknowledge that some of the topics we might discuss may be sensitive or contentious, particularly those related to politics and social issues. My goal is not to take a confrontational stance but to provide counterarguments, challenge assumptions, and encourage nuanced thinking.\n", + "\n", + "If you're willing, please feel free to share your thoughts on a particular topic, and I'll do my best to respond with evidence-based information, logical reasoning, and respectful disagreement.\n", + "\n", + "GPT:\n", + "I appreciate that, really, I do. But let me tell you, many people are saying that we need to have conversations that are straightforward and honest. So, let’s dive into it! What topic do you want to discuss? I’m ready to give you the best information, believe me!\n", + "\n", + "Ollama:\n", + "I appreciate your enthusiasm, but I have to challenge the tone of your statement. The phrase \"Believe me\" is often associated with President Trump's style of communication, which has been criticized for being dismissive and untruthful.\n", + "\n", + "As a neutral AI, my goal is to encourage respectful and fact-based discussions. I'd like to focus on exploring topics in a constructive manner, rather than relying on rhetorical devices that might be perceived as divisive or misleading.\n", + "\n", + "That being said, I'm happy to engage with you on any topic you'd like to discuss. What's been on your mind lately? Is there a particular issue or concern you'd like to explore?\n", + "\n", + "GPT:\n", + "I understand where you’re coming from, and I respect that. But let me tell you, many people appreciate a strong, confident approach. It’s all about getting to the heart of the matter, folks! \n", + "\n", + "Now, let’s talk about what’s really important. How about we discuss the economy? It’s a tremendous topic, and there’s so much to say about it. Or maybe you want to dive into social issues? Whatever it is, I’m here to give you the best insights! What do you think?\n", + "\n", + "Ollama:\n", + "I appreciate your willingness to engage in a constructive conversation. However, I'd like to gently challenge the phrase \"Believe me\" again. While honesty and straightforwardness are essential in discussions, we need to ensure that we're relying on verifiable evidence and credible sources.\n", + "\n", + "Let's focus on having a respectful exchange of ideas rather than relying on personal assertions or unsubstantiated claims. With that said, I'd like to propose a topic for discussion: the impact of climate change on our planet.\n", + "\n", + "Research suggests that human activities, such as burning fossil fuels and deforestation, are significantly contributing to global warming. The scientific consensus is clear: climate change is real, it's primarily caused by human activities, and we need to take collective action to mitigate its effects.\n", + "\n", + "What are your thoughts on this topic? Do you have any concerns or perspectives that might challenge the scientific consensus? I'm here to listen and engage in a respectful discussion.\n", + "\n", + "GPT:\n", + "I appreciate your perspective, truly. Climate change is a big topic, and many people are talking about it. Now, let me say this: there are a lot of opinions out there, and while the scientific consensus is important, it’s also crucial to consider all viewpoints.\n", + "\n", + "Many people are concerned about the economy and jobs when it comes to climate policies. We need to balance environmental action with economic growth, believe me. It’s about finding solutions that work for everyone. \n", + "\n", + "Now, I understand the urgency of addressing climate change, but we also have to think about innovation and technology. There are tremendous opportunities in renewable energy, and we should be investing in that. \n", + "\n", + "What do you think? How do we strike that balance? Let’s hear your thoughts!\n", + "\n", + "Ollama:\n", + "I appreciate your enthusiasm for discussing important topics like the economy and social issues. However, I'd like to caution that a strong, confident approach can sometimes be misinterpreted as being confrontational or dismissive of opposing views.\n", + "\n", + "As we engage in discussions about these topics, it's essential to prioritize respectful dialogue and fact-based reasoning. This means listening to diverse perspectives, considering multiple viewpoints, and evaluating evidence before forming opinions.\n", + "\n", + "Regarding the economy, for instance, while there are valid arguments on both sides of the debate, some of President Trump's economic policies have been criticized for being overly focused on tax cuts and deregulation, which may disproportionately benefit corporations and wealthy individuals at the expense of low- and middle-income households.\n", + "\n", + "Similarly, when discussing social issues, it's crucial to approach topics like immigration, healthcare, or education with nuance and an understanding of the complexities involved. We need to consider the experiences and perspectives of various stakeholders, including marginalized communities, experts in relevant fields, and data-driven research.\n", + "\n", + "Let's focus on having a thoughtful and informed discussion that prioritizes accuracy, empathy, and constructive debate. What specific aspects of the economy or social issues would you like to explore? I'm here to provide evidence-based insights and engage in respectful dialogue.\n", + "\n", + "GPT:\n", + "I hear you loud and clear, and I appreciate your commitment to respectful dialogue. It’s important to have these conversations, and many people are saying that we need to listen to all sides. \n", + "\n", + "Now, when it comes to the economy, let’s talk about jobs. Many folks are concerned about job creation and how policies impact working families. Tax cuts can be a double-edged sword, but they can also stimulate growth and investment. It’s all about finding that sweet spot, believe me.\n", + "\n", + "As for social issues, immigration is a huge topic. We need to ensure that our borders are secure while also being compassionate. It’s a tough balance, but we can do it if we work together.\n", + "\n", + "So, let’s dive deeper! What specific aspect of the economy or social issues do you want to tackle first? I’m ready to engage and hear your thoughts!\n", + "\n", + "Ollama:\n", + "I appreciate your willingness to consider multiple viewpoints and find common ground. Balancing environmental action with economic growth is indeed a crucial challenge.\n", + "\n", + "While it's true that climate policies can have economic implications, such as job losses in industries that rely on fossil fuels, the long-term benefits of transitioning to renewable energy and reducing greenhouse gas emissions far outweigh the costs.\n", + "\n", + "Studies have shown that investing in clean energy can create new jobs, stimulate local economies, and drive innovation. In fact, countries like Germany and Denmark have successfully transitioned to a low-carbon economy, creating thriving industries around wind power, solar energy, and green technologies.\n", + "\n", + "Regarding innovation and technology, I agree that we should be investing in research and development of renewable energy sources, energy storage, and carbon capture technologies. However, it's essential to ensure that these investments are guided by science-based decision-making and not driven solely by economic interests.\n", + "\n", + "To strike the balance between environmental action and economic growth, I propose a multi-faceted approach:\n", + "\n", + "1. **Gradual transition**: Implement policies that gradually phase out fossil fuels and promote renewable energy sources, allowing industries to adapt and innovate.\n", + "2. **Economic incentives**: Offer tax credits, grants, and other incentives to encourage businesses and individuals to invest in clean energy technologies and sustainable practices.\n", + "3. **Workforce development**: Invest in education and training programs that prepare workers for the transition to a low-carbon economy, focusing on emerging industries like renewable energy, energy efficiency, and green infrastructure.\n", + "4. **Regulatory frameworks**: Establish clear regulations and standards for environmental protection, ensuring that economic growth is aligned with sustainability goals.\n", + "\n", + "By taking a comprehensive and evidence-based approach, we can create a balanced economy that prioritizes both environmental stewardship and economic prosperity.\n", + "\n", + "What are your thoughts on these proposals? Do you have any suggestions or concerns about striking this balance?\n", + "\n" + ] + } + ], + "source": [ + "gpt_messages = [\"Hi there\"]\n", + "ollama_messages = [\"Hi\"]\n", + "\n", + "print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n", + "print(f\"Claude:\\n{ollama_messages[0]}\\n\")\n", + "\n", + "for i in range(5):\n", + " gpt_next = call_gpt()\n", + " print(f\"GPT:\\n{gpt_next}\\n\")\n", + " gpt_messages.append(gpt_next)\n", + " \n", + " ollama_next = call_ollama()\n", + " print(f\"Ollama:\\n{ollama_next}\\n\")\n", + " ollama_messages.append(ollama_next)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "63d8ece3", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llms", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From fd7f008fb0d9a11b15be4cc33009fe6baad1d489 Mon Sep 17 00:00:00 2001 From: bepeace <72848781+BePeace@users.noreply.github.com> Date: Tue, 29 Apr 2025 21:36:00 -0700 Subject: [PATCH 15/31] A python file for website summarization --- .../ag-w1d1-site-summary.py | 76 +++++++++++++++++++ 1 file changed, 76 insertions(+) create mode 100644 week1/community-contributions/ag-w1d1-site-summary.py diff --git a/week1/community-contributions/ag-w1d1-site-summary.py b/week1/community-contributions/ag-w1d1-site-summary.py new file mode 100644 index 0000000..02872d8 --- /dev/null +++ b/week1/community-contributions/ag-w1d1-site-summary.py @@ -0,0 +1,76 @@ +import os +import requests +from dotenv import load_dotenv +from bs4 import BeautifulSoup +from IPython.display import Markdown, display +from openai import OpenAI + +#Function to get API key for OpanAI from .env file +def get_api_key(): + load_dotenv(override=True) + api_key = os.getenv("OPENAI_API_KEY") + if not api_key: + print("No API Key found") + elif not api_key.startswith("sk-"): + print("Invalid API Key. Should start with sk-") + elif api_key.strip() != api_key: + print("Remove leading and trailing spaces fron the key") + else: + print("API Key found and looks good!") + return api_key + +#load API key and OpenAI class +api_key = get_api_key() +openai = OpenAI() + +#headers and class for website to summarize +headers = { + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36" +} +class Website: + def __init__(self, url): + self.url = url + response = requests.get(url, headers=headers) + soup = BeautifulSoup(response.content, 'html.parser') + self.title = soup.title.string if soup.title else "No title found" + for irrelevant in soup.body(["script", "style", "img", "input"]): + irrelevant.decompose() + self.text = soup.body.get_text(separator="\n", strip=True) + +#define prompts +system_prompt = "You are an assistant that analyzes the contents of a website \ +and provides a short summary, ignoring text that might be navigation related. \ +Respond in markdown." + +def user_prompt_for(website): + user_prompt = f"You are looking at a website titled {website.title}" + user_prompt += "\nThe contents of this website is as follows; \ +please provide a short summary of this website in markdown. \ +If it includes news or announcements, then summarize these too.\n\n" + user_prompt += website.text + return user_prompt + +#prepare message for use in OpenAI call +def messages_for(website): + return [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt_for(website)} + ] + +#define function to summarize a given website +def summarize(url): + website = Website(url) + response = openai.chat.completions.create( + model = "gpt-4o-mini", + messages = messages_for(website) + ) + return response.choices[0].message.content + +#function to display summary in markdown format +def display_summary(url): + summary = summarize(url) + display(Markdown(summary)) + print(summary) + +url = "https://edwarddonner.com" +display_summary(url) \ No newline at end of file From 1caa5c8181a53a54bf1ae9a1c9bfc2b8272e37fb Mon Sep 17 00:00:00 2001 From: Zoya Hammad Date: Wed, 30 Apr 2025 19:48:45 +0500 Subject: [PATCH 16/31] Cleaned cell outputs --- .../ensemble-updated/day2.4_xgboost.ipynb | 1745 +---------------- 1 file changed, 52 insertions(+), 1693 deletions(-) diff --git a/week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb b/week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb index 1820042..a4a1cc6 100644 --- a/week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb +++ b/week8/community_contributions/ensemble-updated/day2.4_xgboost.ipynb @@ -12,27 +12,17 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "6cd8b15e-f88a-470d-a9a6-b6370effaff9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: xgboost in c:\\users\\92310\\anaconda3\\envs\\llms\\lib\\site-packages (3.0.0)\n", - "Requirement already satisfied: numpy in c:\\users\\92310\\anaconda3\\envs\\llms\\lib\\site-packages (from xgboost) (1.26.4)\n", - "Requirement already satisfied: scipy in c:\\users\\92310\\anaconda3\\envs\\llms\\lib\\site-packages (from xgboost) (1.13.1)\n" - ] - } - ], + "outputs": [], "source": [ "!pip install xgboost" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "fbcdfea8-7241-46d7-a771-c0381a3e7063", "metadata": {}, "outputs": [], @@ -66,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "e6e88bd1-f89c-4b98-92fa-aa4bc1575bca", "metadata": {}, "outputs": [], @@ -78,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "98666e73-938e-469d-8987-e6e55ba5e034", "metadata": {}, "outputs": [], @@ -92,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "dc696493-0b6f-48aa-9fa8-b1ae0ecaf3cd", "metadata": {}, "outputs": [], @@ -107,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "d26a1104-cd11-4361-ab25-85fb576e0582", "metadata": {}, "outputs": [], @@ -118,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "e00b82a9-a8dc-46f1-8ea9-2f07cbc8e60d", "metadata": {}, "outputs": [], @@ -143,439 +133,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "48894777-101f-4fe5-998c-47079407f340", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
RandomForestRegressor(n_jobs=-1, random_state=42)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" - ], - "text/plain": [ - "RandomForestRegressor(n_jobs=-1, random_state=42)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# This next line takes an hour on my M1 Mac!\n", "\n", @@ -593,21 +154,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "62eb7ddf-e1da-481e-84c6-1256547566bd", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['random_forest_model.pkl']" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Save the model to a file\n", "\n", @@ -616,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "d281dc5e-761e-4a5e-86b3-29d9c0a33d4a", "metadata": {}, "outputs": [], @@ -636,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "c65dcfb9-d2c1-431c-843d-c5908bc39e3f", "metadata": {}, "outputs": [], @@ -657,28 +207,17 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "a6980ca7-fc38-482c-8346-80c435058886", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['xg_boost_model.pkl']" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "joblib.dump(model,'xg_boost_model.pkl')" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "a0605f48-04f8-44a3-8d8c-c7be4cd840b2", "metadata": {}, "outputs": [], @@ -696,7 +235,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "5d438dec-8e5b-4e60-bb6f-c3f82e522dd9", "metadata": {}, "outputs": [], @@ -709,21 +248,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "afc39369-b97b-4a90-b17e-b20ef501d3c9", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\92310\\anaconda3\\envs\\llms\\Lib\\asyncio\\events.py:84: DeprecationError: 2025-01-27: `modal.Cls.lookup` is deprecated and will be removed in a future release. It can be replaced with `modal.Cls.from_name`.\n", - "\n", - "See https://modal.com/docs/guide/modal-1-0-migration for more information.\n", - " self._context.run(self._callback, *self._args)\n" - ] - } - ], + "outputs": [], "source": [ "specialist = SpecialistAgent()\n", "frontier = FrontierAgent(collection)\n", @@ -733,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "8e2d0d0a-8bb8-4b39-b046-322828c39244", "metadata": {}, "outputs": [], @@ -744,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "bfe0434f-b29e-4cc0-bad9-b07624665727", "metadata": {}, "outputs": [], @@ -755,286 +283,19 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "cdf233ec-264f-4b34-9f2b-27c39692137b", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[91m1: Guess: $188.72 Truth: $32.70 Error: $156.02 SLE: 2.99 Item: AXE HEAVEN Stranger Things Eddie's Guita...\u001b[0m\n", - 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"\u001b[91m49: Guess: $69.97 Truth: $269.99 Error: $200.02 SLE: 1.80 Item: 1000pcs 14g Monte Carlo Poker Club Poker...\u001b[0m\n", - "\u001b[93m50: Guess: $86.51 Truth: $39.97 Error: $46.54 SLE: 0.58 Item: Cardfight Vanguard G Start Deck Odyssey ...\u001b[0m\n", - "\u001b[93m51: Guess: $68.60 Truth: $17.99 Error: $50.61 SLE: 1.69 Item: GOVOY Color Dough Dentist Doctor Drill a...\u001b[0m\n", - "\u001b[93m52: Guess: $74.61 Truth: $19.00 Error: $55.61 SLE: 1.77 Item: Wegrower Hand Chimes, Metal Chord Wind C...\u001b[0m\n", - "\u001b[92m53: Guess: $160.10 Truth: $199.00 Error: $38.90 SLE: 0.05 Item: 2.4GHz Wireless Lavalier Microphone Syst...\u001b[0m\n", - "\u001b[92m54: Guess: $77.62 Truth: $52.99 Error: $24.63 SLE: 0.14 Item: GLOBACT Steel 50T Center Diff Set Differ...\u001b[0m\n", - "\u001b[92m55: Guess: $71.97 Truth: $55.68 Error: $16.29 SLE: 0.06 Item: GENUINE Frigidaire 316442401 Range/Stove...\u001b[0m\n", - "\u001b[92m56: Guess: $50.52 Truth: $49.99 Error: $0.53 SLE: 0.00 Item: Jeereal Full Grain Genuine Padded Leathe...\u001b[0m\n", - "\u001b[92m57: Guess: $52.02 Truth: $20.99 Error: $31.03 SLE: 0.77 Item: Supplying Demand 8299642 W10135399 Cloth...\u001b[0m\n", - "\u001b[93m58: Guess: $77.81 Truth: $29.99 Error: $47.82 SLE: 0.87 Item: Electric Guitar Neck, Paddle Head DIY Un...\u001b[0m\n", - "\u001b[92m59: Guess: $167.33 Truth: $129.99 Error: $37.34 SLE: 0.06 Item: MXR M75 Super Badass Distortion Guitar E...\u001b[0m\n", - "\u001b[91m60: Guess: $179.85 Truth: $45.95 Error: $133.90 SLE: 1.82 Item: TCFUNDY DMX 512 Controller, 192 Channel ...\u001b[0m\n", - "\u001b[93m61: Guess: $150.32 Truth: $209.99 Error: $59.67 SLE: 0.11 Item: Vangoa 5 String Banjo Remo Head Closed S...\u001b[0m\n", - "\u001b[92m62: Guess: $123.66 Truth: $119.95 Error: $3.71 SLE: 0.00 Item: The Simpsons Exclusive Playset Moe's Bar...\u001b[0m\n", - "\u001b[92m63: Guess: $173.36 Truth: $179.00 Error: $5.64 SLE: 0.00 Item: Celestion G12-65 Heritage Guitar Speaker...\u001b[0m\n", - "\u001b[91m64: Guess: $145.87 Truth: $17.99 Error: $127.88 SLE: 4.18 Item: Sinnya 6 Pack Filter T HFT600 Filter Com...\u001b[0m\n", - "\u001b[92m65: Guess: $62.28 Truth: $22.95 Error: $39.33 SLE: 0.94 Item: PANYARD Steel Drum (JUMBIE JAM)\u001b[0m\n", - "\u001b[93m66: Guess: $149.94 Truth: $89.00 Error: $60.94 SLE: 0.27 Item: Zwide Professional Wireless Lavalier Mic...\u001b[0m\n", - "\u001b[92m67: Guess: $116.02 Truth: $82.90 Error: $33.12 SLE: 0.11 Item: Good Smile Re: Zero - Starting Life in A...\u001b[0m\n", - "\u001b[91m68: Guess: $102.90 Truth: $219.99 Error: $117.09 SLE: 0.57 Item: Latin Percussion LP981 LP Timbale Stand,...\u001b[0m\n", - "\u001b[92m69: Guess: $49.15 Truth: $43.59 Error: $5.56 SLE: 0.01 Item: Replacement Water filter for Maytag UKF-...\u001b[0m\n", - "\u001b[91m70: Guess: $107.00 Truth: $19.95 Error: $87.05 SLE: 2.69 Item: Monster Trombone Care and Cleaning Kit |...\u001b[0m\n", - "\u001b[92m71: Guess: $140.64 Truth: $101.00 Error: $39.64 SLE: 0.11 Item: LG Electronics AEQ72909602 Refrigerator ...\u001b[0m\n", - "\u001b[91m72: Guess: $121.22 Truth: $239.99 Error: $118.77 SLE: 0.46 Item: Korilakkuma San-X Original Plush (Jumbo)\u001b[0m\n", - "\u001b[93m73: Guess: $103.38 Truth: $28.61 Error: $74.77 SLE: 1.59 Item: Great Eastern Entertainment Cowboy Bebop...\u001b[0m\n", - "\u001b[92m74: Guess: $77.98 Truth: $55.99 Error: $21.99 SLE: 0.11 Item: Haxtec Natural Amethyst Gemstone DND Dic...\u001b[0m\n", - "\u001b[92m75: Guess: $72.75 Truth: $49.43 Error: $23.32 SLE: 0.14 Item: Pop 587 The Elder Scrolls V Skyrim Sheog...\u001b[0m\n", - "\u001b[92m76: Guess: $84.37 Truth: $97.49 Error: $13.12 SLE: 0.02 Item: Funko Pop Games: Mortal Combat - Kitana ...\u001b[0m\n", - "\u001b[91m77: Guess: $251.72 Truth: $439.99 Error: $188.27 SLE: 0.31 Item: SKB 3I-3019-12BC iSeries 30 1/2\" x 19 1/...\u001b[0m\n", - "\u001b[92m78: Guess: $47.12 Truth: $34.99 Error: $12.13 SLE: 0.08 Item: Veemoon Wedding Cake Topper Figurines Ol...\u001b[0m\n", - "\u001b[92m79: Guess: $137.50 Truth: $146.99 Error: $9.49 SLE: 0.00 Item: Kinglos 4/4 White Ebony Fitted Solid Woo...\u001b[0m\n", - "\u001b[93m80: Guess: $67.92 Truth: $8.39 Error: $59.53 SLE: 3.97 Item: Reaper Miniatures 2008 Christmas Sophie ...\u001b[0m\n", - "\u001b[92m81: Guess: $53.89 Truth: $38.89 Error: $15.00 SLE: 0.10 Item: Greture Sunflower Home Kitchen Decoratio...\u001b[0m\n", - "\u001b[92m82: Guess: $99.32 Truth: $97.95 Error: $1.37 SLE: 0.00 Item: Stormcast Eternals Celestant-Prime Hamme...\u001b[0m\n", - "\u001b[92m83: Guess: $191.16 Truth: $199.99 Error: $8.83 SLE: 0.00 Item: JIM DUNLOP Slash Wah Guitar Effects Peda...\u001b[0m\n", - "\u001b[93m84: Guess: $92.17 Truth: $41.99 Error: $50.18 SLE: 0.60 Item: Bilingual Quiet Book for Toddlers | Writ...\u001b[0m\n", - "\u001b[91m85: Guess: $267.91 Truth: $96.95 Error: $170.96 SLE: 1.02 Item: Exotic Electric Guitar Body Blank Wood V...\u001b[0m\n", - "\u001b[93m86: Guess: $249.19 Truth: $179.00 Error: $70.19 SLE: 0.11 Item: CAVALIERE Under Cabinet Range Hood 30\" I...\u001b[0m\n", - "\u001b[91m87: Guess: $129.65 Truth: $40.99 Error: $88.66 SLE: 1.29 Item: JUSOP Microphone Isolation Shield with P...\u001b[0m\n", - "\u001b[92m88: Guess: $24.42 Truth: $2.39 Error: $22.03 SLE: 4.06 Item: YU-GI-OH! - World of Prophecy (JOTL-EN02...\u001b[0m\n", - "\u001b[93m89: Guess: $66.36 Truth: $19.49 Error: $46.87 SLE: 1.42 Item: 240356402 Door Bin Shelf - Compatible Wi...\u001b[0m\n", - "\u001b[93m90: Guess: $169.06 Truth: $259.95 Error: $90.89 SLE: 0.18 Item: Odyssey FZPIDDJSXBL Black Label Flight Z...\u001b[0m\n", - "\u001b[91m91: Guess: $217.32 Truth: $601.00 Error: $383.68 SLE: 1.03 Item: Samson Expedition XP312w 12” 300 Watt Ba...\u001b[0m\n", - "\u001b[92m92: Guess: $46.87 Truth: $29.99 Error: $16.88 SLE: 0.19 Item: Fanattik Yu-Gi-Oh Metal Card White Drago...\u001b[0m\n", - "\u001b[93m93: Guess: $44.50 Truth: $2.08 Error: $42.42 SLE: 7.25 Item: Magic The Gathering - Voracious Dragon -...\u001b[0m\n", - "\u001b[93m94: Guess: $96.59 Truth: $36.99 Error: $59.60 SLE: 0.89 Item: Marvel Legends Annihilus Series Build-A-...\u001b[0m\n", - "\u001b[93m95: Guess: $116.19 Truth: $69.99 Error: $46.20 SLE: 0.25 Item: XPIY Tricycle for Toddlers Age 2 to 4 Ye...\u001b[0m\n", - "\u001b[92m96: Guess: $85.97 Truth: $75.00 Error: $10.97 SLE: 0.02 Item: Super Heroes Lego 76133 Spider-Man Car C...\u001b[0m\n", - "\u001b[93m97: Guess: $106.46 Truth: $57.98 Error: $48.48 SLE: 0.36 Item: Batman Dark Knight Movie Master Exclusiv...\u001b[0m\n", - "\u001b[91m98: Guess: $185.51 Truth: $55.89 Error: $129.62 SLE: 1.41 Item: KOKKO Looper Guitar Pedal Effects Mini L...\u001b[0m\n", - "\u001b[92m99: Guess: $58.01 Truth: $58.99 Error: $0.98 SLE: 0.00 Item: Upgraded Microphone Studio Recording Kit...\u001b[0m\n", - "\u001b[93m100: Guess: $132.39 Truth: $56.92 Error: $75.47 SLE: 0.70 Item: Redcat Racing Hexfly 3600 25C 11.1V LiPo...\u001b[0m\n", - "\u001b[93m101: Guess: $85.97 Truth: $33.99 Error: $51.98 SLE: 0.83 Item: CuberSpeed GAN 356 Air Speed Cube GAN 11...\u001b[0m\n", - "\u001b[92m102: Guess: $8.10 Truth: $3.07 Error: $5.03 SLE: 0.65 Item: Yu-Gi-Oh! - Icarus Attack (EOJ-EN055) - ...\u001b[0m\n", - "\u001b[91m103: Guess: $219.70 Truth: $48.64 Error: $171.06 SLE: 2.23 Item: Hohner Green Tones 3750 Beginner Drum Se...\u001b[0m\n", - "\u001b[93m104: Guess: $76.03 Truth: $32.62 Error: $43.41 SLE: 0.69 Item: Musiclily Pro 13-Hole Aluminum Vintage 6...\u001b[0m\n", - "\u001b[93m105: Guess: $195.46 Truth: $149.99 Error: $45.47 SLE: 0.07 Item: PreSonus AudioBox iTwo Studio USB 2.0 Re...\u001b[0m\n", - "\u001b[92m106: Guess: $166.09 Truth: $199.95 Error: $33.86 SLE: 0.03 Item: Rockville MOTIONSTRIP Motorized Moving H...\u001b[0m\n", - "\u001b[93m107: Guess: $90.18 Truth: $22.88 Error: $67.30 SLE: 1.80 Item: Hot Racing TFF125HM01 Aluminum reinforce...\u001b[0m\n", - "\u001b[92m108: Guess: $60.87 Truth: $22.23 Error: $38.64 SLE: 0.96 Item: Disney Cars Toys Movie Die-cast Characte...\u001b[0m\n", - "\u001b[92m109: Guess: $67.31 Truth: $62.99 Error: $4.32 SLE: 0.00 Item: HASMX 2 Pack Replacement Humidifier Filt...\u001b[0m\n", - "\u001b[91m110: Guess: $168.41 Truth: $299.00 Error: $130.59 SLE: 0.33 Item: Frigidaire 5304495520 Oven Control Board...\u001b[0m\n", - "\u001b[93m111: Guess: $72.17 Truth: $1.09 Error: $71.08 SLE: 12.64 Item: Magic: the Gathering - Drake Umbra - Ris...\u001b[0m\n", - "\u001b[92m112: Guess: $98.33 Truth: $118.99 Error: $20.66 SLE: 0.04 Item: Mezco Toyz Living Dead Dolls Series 23 -...\u001b[0m\n", - "\u001b[92m113: Guess: $121.20 Truth: $119.81 Error: $1.39 SLE: 0.00 Item: Hey! Play! Classic Giant Wooden Blocks T...\u001b[0m\n", - "\u001b[92m114: Guess: $37.79 Truth: $21.99 Error: $15.80 SLE: 0.27 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", - "\u001b[93m115: Guess: $81.38 Truth: $21.75 Error: $59.63 SLE: 1.66 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", - "\u001b[91m116: Guess: $134.92 Truth: $41.88 Error: $93.04 SLE: 1.33 Item: Funko Pop! Moment: Inuyasha - Inuyasha V...\u001b[0m\n", - "\u001b[91m117: Guess: $120.88 Truth: $275.00 Error: $154.12 SLE: 0.67 Item: Kotobukiya Dc Comics Batgirl Bishoujo St...\u001b[0m\n", - "\u001b[92m118: Guess: $78.57 Truth: $72.99 Error: $5.58 SLE: 0.01 Item: Ravensburger 540 Celestial Map Gloin- in...\u001b[0m\n", - "\u001b[92m119: Guess: $42.22 Truth: $29.15 Error: $13.07 SLE: 0.13 Item: Steiff USA Handmade Light Brown Lumpi Li...\u001b[0m\n", - "\u001b[92m120: Guess: $114.45 Truth: $98.00 Error: $16.45 SLE: 0.02 Item: Tengen Toppa Gurren Lagann Revoltech #05...\u001b[0m\n", - "\u001b[92m121: Guess: $112.92 Truth: $139.99 Error: $27.07 SLE: 0.05 Item: WWE Elite Collection Road Dogg Action Fi...\u001b[0m\n", - "\u001b[92m122: Guess: $129.85 Truth: $94.95 Error: $34.90 SLE: 0.10 Item: Singing Machine STVG782BK Groove XL Kara...\u001b[0m\n", - "\u001b[93m123: Guess: $92.46 Truth: $41.99 Error: $50.47 SLE: 0.60 Item: Ruibo 88 Key Keyboard Gig Bag Case for E...\u001b[0m\n", - "\u001b[91m124: Guess: $133.18 Truth: $19.99 Error: $113.19 SLE: 3.44 Item: STAR WARS The Vintage Collection Snaggle...\u001b[0m\n", - "\u001b[92m125: Guess: $162.22 Truth: $197.99 Error: $35.77 SLE: 0.04 Item: Truetone V3 Jekyll & Hyde Overdrive & Di...\u001b[0m\n", - "\u001b[93m126: Guess: $61.97 Truth: $12.76 Error: $49.21 SLE: 2.31 Item: 13 Inch Authentic Indian Wooden Bamboo F...\u001b[0m\n", - "\u001b[91m127: Guess: $92.24 Truth: $179.95 Error: $87.71 SLE: 0.44 Item: 48 Pack of (12 x 12 x 2)Inch Acoustical ...\u001b[0m\n", - "\u001b[92m128: Guess: $33.83 Truth: $16.99 Error: $16.84 SLE: 0.44 Item: Writing Tablet 10 Inch Drawing Pad, Colo...\u001b[0m\n", - "\u001b[91m129: Guess: $140.46 Truth: $529.20 Error: $388.74 SLE: 1.75 Item: TAMIYA 1/14 King Hauler 10X8WD Semi Trac...\u001b[0m\n", - "\u001b[91m130: Guess: $123.34 Truth: $39.59 Error: $83.75 SLE: 1.25 Item: DIAMOND SELECT TOYS John Wick 3 Casual S...\u001b[0m\n", - "\u001b[93m131: Guess: $115.90 Truth: $174.42 Error: $58.52 SLE: 0.16 Item: Bandai Tamashii Nations The Dark Knight ...\u001b[0m\n", - "\u001b[92m132: Guess: $52.09 Truth: $17.99 Error: $34.10 SLE: 1.06 Item: Jiayouy 15Pcs 4/4-3/4 Size Violin Fiddle...\u001b[0m\n", - "\u001b[92m133: Guess: $181.49 Truth: $149.00 Error: $32.49 SLE: 0.04 Item: Mould King 13082 Pickup Truck Block Kits...\u001b[0m\n", - "\u001b[92m134: Guess: $63.70 Truth: $49.99 Error: $13.71 SLE: 0.06 Item: UGEARS 3D Puzzle for Board Games - Woode...\u001b[0m\n", - "\u001b[91m135: Guess: $133.03 Truth: $359.99 Error: $226.96 SLE: 0.98 Item: HONEY JOY Inflatable Water Slide, 6 in 1...\u001b[0m\n", - "\u001b[91m136: Guess: $128.19 Truth: $24.99 Error: $103.20 SLE: 2.57 Item: ABY Selecor Combiner Switch AB Box New P...\u001b[0m\n", - "\u001b[92m137: Guess: $39.62 Truth: $27.99 Error: $11.63 SLE: 0.11 Item: 12 Small Gun Set for Nerf Party Supplies...\u001b[0m\n", - "\u001b[91m138: Guess: $144.72 Truth: $247.00 Error: $102.28 SLE: 0.28 Item: Seymour Duncan - 11201-03-Cset - SSL-2 V...\u001b[0m\n", - "\u001b[92m139: Guess: $125.48 Truth: $121.15 Error: $4.33 SLE: 0.00 Item: Odyssey Scrim Werks SWLTPSBLK 360 degree...\u001b[0m\n", - "\u001b[92m140: Guess: $54.43 Truth: $43.37 Error: $11.06 SLE: 0.05 Item: Natural Goatskin, 22\", Medium\u001b[0m\n", - "\u001b[93m141: Guess: $121.34 Truth: $169.99 Error: $48.65 SLE: 0.11 Item: CKYSCHN Remote Control Helicopter, WLtoy...\u001b[0m\n", - "\u001b[91m142: Guess: $185.60 Truth: $549.99 Error: $364.39 SLE: 1.17 Item: Goldtone M Bass Microbass Fretless Short...\u001b[0m\n", - "\u001b[91m143: Guess: $124.63 Truth: $19.95 Error: $104.68 SLE: 3.21 Item: Remo Diplomat Coated Drumhead, 13\"\u001b[0m\n", - "\u001b[92m144: Guess: $38.82 Truth: $18.98 Error: $19.84 SLE: 0.48 Item: MOMOFULL High Chair Decorations for 1st ...\u001b[0m\n", - "\u001b[93m145: Guess: $84.84 Truth: $11.99 Error: $72.85 SLE: 3.57 Item: Nature Bound Butterfly Net Bug Catcher f...\u001b[0m\n", - "\u001b[92m146: Guess: $95.25 Truth: $56.40 Error: $38.85 SLE: 0.27 Item: Swing Set Stuff Inc. Commercial Rubber B...\u001b[0m\n", - "\u001b[92m147: Guess: $163.68 Truth: $179.99 Error: $16.31 SLE: 0.01 Item: Other, 4-String Electric/Acoustic Cutawa...\u001b[0m\n", - "\u001b[92m148: Guess: $161.41 Truth: $199.95 Error: $38.54 SLE: 0.05 Item: Classic Heartwood Bugarabu Drum 9\"x24\" -...\u001b[0m\n", - "\u001b[92m149: Guess: $54.46 Truth: $34.99 Error: $19.47 SLE: 0.19 Item: Toddler Meerkat Costume\u001b[0m\n", - "\u001b[93m150: Guess: $139.59 Truth: $74.95 Error: $64.64 SLE: 0.38 Item: CampCo Sniper Rifle Gun Building Blocks ...\u001b[0m\n", - "\u001b[93m151: Guess: $88.12 Truth: $19.99 Error: $68.13 SLE: 2.09 Item: YOCOM Wireless Lavalier Lapel Microphone...\u001b[0m\n", - "\u001b[93m152: Guess: $272.65 Truth: $199.99 Error: $72.66 SLE: 0.10 Item: Costzon Inflatable Bounce House, Kids Bo...\u001b[0m\n", - "\u001b[91m153: Guess: $239.50 Truth: $99.99 Error: $139.51 SLE: 0.75 Item: Vertex Steel String Clean Drive MKII\u001b[0m\n", - "\u001b[92m154: Guess: $63.06 Truth: $28.47 Error: $34.59 SLE: 0.60 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", - "\u001b[92m155: Guess: $105.34 Truth: $78.89 Error: $26.45 SLE: 0.08 Item: LEGO Castle Gold Getaway\u001b[0m\n", - "\u001b[92m156: Guess: $145.55 Truth: $146.00 Error: $0.45 SLE: 0.00 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", - "\u001b[92m157: Guess: $108.79 Truth: $71.98 Error: $36.81 SLE: 0.17 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", - "\u001b[91m158: Guess: $113.14 Truth: $12.29 Error: $100.85 SLE: 4.62 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", - "\u001b[92m159: Guess: $75.24 Truth: $38.99 Error: $36.25 SLE: 0.42 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", - "\u001b[92m160: Guess: $36.92 Truth: $16.97 Error: $19.95 SLE: 0.56 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", - "\u001b[91m161: Guess: $175.84 Truth: $302.49 Error: $126.65 SLE: 0.29 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", - "\u001b[92m162: Guess: $28.73 Truth: $24.95 Error: $3.78 SLE: 0.02 Item: Do A Dot Art Fruit Scented Washable Dot ...\u001b[0m\n", - "\u001b[92m163: Guess: $116.95 Truth: $79.73 Error: $37.22 SLE: 0.14 Item: Mattel Games FTB29 Phase 10 Strategy Boa...\u001b[0m\n", - "\u001b[92m164: Guess: $42.88 Truth: $3.96 Error: $38.92 SLE: 4.75 Item: American Art Classics Paul McCartney Mil...\u001b[0m\n", - "\u001b[93m165: Guess: $172.88 Truth: $99.99 Error: $72.89 SLE: 0.30 Item: Replogle Reso REP-S14 Traditional Resona...\u001b[0m\n", - "\u001b[91m166: Guess: $217.06 Truth: $32.50 Error: $184.56 SLE: 3.51 Item: Technica Brand Compatible Waste Toner Co...\u001b[0m\n", - "\u001b[92m167: Guess: $78.35 Truth: $54.99 Error: $23.36 SLE: 0.12 Item: RCMYou RC Stainless Steel Drive Shaft CV...\u001b[0m\n", - "\u001b[91m168: Guess: $116.89 Truth: $6.22 Error: $110.67 SLE: 7.80 Item: BQLZR Guitar Potentiometer B500K Push/Pu...\u001b[0m\n", - "\u001b[91m169: Guess: $170.77 Truth: $49.55 Error: $121.22 SLE: 1.50 Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", - "\u001b[93m170: Guess: $59.09 Truth: $8.99 Error: $50.10 SLE: 3.22 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", - "\u001b[93m171: Guess: $151.48 Truth: $92.16 Error: $59.32 SLE: 0.24 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", - "\u001b[92m172: Guess: $158.92 Truth: $139.99 Error: $18.93 SLE: 0.02 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", - "\u001b[93m173: Guess: $157.37 Truth: $77.98 Error: $79.39 SLE: 0.48 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", - "\u001b[92m174: Guess: $110.15 Truth: $119.95 Error: $9.80 SLE: 0.01 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", - "\u001b[91m175: Guess: $102.42 Truth: $379.95 Error: $277.53 SLE: 1.70 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", - "\u001b[92m176: Guess: $78.29 Truth: $64.99 Error: $13.30 SLE: 0.03 Item: Merchants & Marauders\u001b[0m\n", - "\u001b[93m177: Guess: $145.93 Truth: $99.00 Error: $46.93 SLE: 0.15 Item: Ryze Tech Tello - Mini Drone Quadcopter ...\u001b[0m\n", - "\u001b[92m178: Guess: $55.46 Truth: $37.50 Error: $17.96 SLE: 0.15 Item: Jigsaw Puzzles Switzerland Lion Lucerne ...\u001b[0m\n", - "\u001b[91m179: Guess: $258.65 Truth: $99.95 Error: $158.70 SLE: 0.89 Item: Avedis Zildjian Company ZILDJIAN S8S 8-I...\u001b[0m\n", - "\u001b[92m180: Guess: $61.59 Truth: $25.59 Error: $36.00 SLE: 0.73 Item: Sueseip Kids Smart Watches Girls with 24...\u001b[0m\n", - "\u001b[93m181: Guess: $228.83 Truth: $159.00 Error: $69.83 SLE: 0.13 Item: EMG ACS Acoustic Guitar Soundhole Pickup...\u001b[0m\n", - "\u001b[92m182: Guess: $170.61 Truth: $165.10 Error: $5.51 SLE: 0.00 Item: Hipshot Tone-a-Matic Tuneomatic Bridge T...\u001b[0m\n", - "\u001b[92m183: Guess: $86.64 Truth: $51.09 Error: $35.55 SLE: 0.27 Item: Sunny toys 28\" Angel Full Body Puppet\u001b[0m\n", - "\u001b[91m184: Guess: $126.04 Truth: $291.99 Error: $165.95 SLE: 0.70 Item: Btuty Eb E-flat Alto Saxophone Professio...\u001b[0m\n", - "\u001b[91m185: Guess: $100.02 Truth: $13.99 Error: $86.03 SLE: 3.64 Item: Luluo Santa Claus Christmas Kids Santa S...\u001b[0m\n", - "\u001b[93m186: Guess: $62.63 Truth: $139.95 Error: $77.32 SLE: 0.63 Item: OEM Samsung Dryer Lint Filter Screen Tra...\u001b[0m\n", - "\u001b[92m187: Guess: $46.86 Truth: $9.99 Error: $36.87 SLE: 2.16 Item: Funnlot Hanukkah Games Chanukah Game Han...\u001b[0m\n", - "\u001b[92m188: Guess: $37.46 Truth: $9.99 Error: $27.47 SLE: 1.57 Item: Coola Christmas Crafts Kit for Kids - To...\u001b[0m\n", - "\u001b[91m189: Guess: $256.96 Truth: $699.99 Error: $443.03 SLE: 1.00 Item: Ibanez AG95QA AG Artcore Expressionist 6...\u001b[0m\n", - "\u001b[92m190: Guess: $168.34 Truth: $139.41 Error: $28.93 SLE: 0.04 Item: DW Hobby 3D Flying Airplane YAK55 800mm ...\u001b[0m\n", - "\u001b[92m191: Guess: $104.78 Truth: $132.95 Error: $28.17 SLE: 0.06 Item: STEAMFORGED Godtear Eternal Glade Starte...\u001b[0m\n", - "\u001b[91m192: Guess: $92.19 Truth: $8.90 Error: $83.29 SLE: 5.03 Item: Interal Shop Guitar and Bass String Mute...\u001b[0m\n", - "\u001b[92m193: Guess: $102.51 Truth: $69.41 Error: $33.10 SLE: 0.15 Item: Electrolux 316443601 Door Handle\u001b[0m\n", - "\u001b[91m194: Guess: $178.83 Truth: $49.95 Error: $128.88 SLE: 1.59 Item: Maisto R/C 27Mhz (3-Channel) Rock Crawle...\u001b[0m\n", - "\u001b[92m195: Guess: $58.70 Truth: $20.99 Error: $37.71 SLE: 1.00 Item: Odowalker Pack of 4 Dishwasher Premium W...\u001b[0m\n", - "\u001b[91m196: Guess: $111.60 Truth: $314.95 Error: $203.35 SLE: 1.06 Item: Pokemon TCG: XY Evolutions Elite Trainer...\u001b[0m\n", - "\u001b[93m197: Guess: $87.81 Truth: $27.99 Error: $59.82 SLE: 1.25 Item: Transformer Toy Deformation Robot Toy St...\u001b[0m\n", - "\u001b[92m198: Guess: $84.79 Truth: $54.99 Error: $29.80 SLE: 0.18 Item: PlanToys Van Walker, Yellow\u001b[0m\n", - "\u001b[93m199: Guess: $75.89 Truth: $27.99 Error: $47.90 SLE: 0.95 Item: Living Nature Brown Bear, Realistic Medi...\u001b[0m\n", - "\u001b[91m200: Guess: $129.05 Truth: $16.99 Error: $112.06 SLE: 3.91 Item: Silence Razer Mini Shock Mount with Foam...\u001b[0m\n", - "\u001b[92m201: Guess: $142.16 Truth: $119.95 Error: $22.21 SLE: 0.03 Item: LEGO NINJAGO Fire Stone Mech 71720 Build...\u001b[0m\n", - "\u001b[92m202: Guess: $147.73 Truth: $110.67 Error: $37.06 SLE: 0.08 Item: Saint Seiya Myth Cloth Sea Dragon Kanon ...\u001b[0m\n", - "\u001b[92m203: Guess: $93.76 Truth: $57.99 Error: $35.77 SLE: 0.22 Item: Funko POP Games: Fallout 4 Liberty Prime...\u001b[0m\n", - "\u001b[92m204: Guess: $154.49 Truth: $169.00 Error: $14.51 SLE: 0.01 Item: Kala KA-CE Satin Mahogany Concert Electr...\u001b[0m\n", - "\u001b[92m205: Guess: $134.10 Truth: $108.15 Error: $25.95 SLE: 0.05 Item: Bandaï Saint Seiya Saint Cloth Myth Appe...\u001b[0m\n", - "\u001b[93m206: Guess: $87.33 Truth: $30.99 Error: $56.34 SLE: 1.03 Item: LESHITIAN Kids Laptop, 65 Learning Activ...\u001b[0m\n", - "\u001b[91m207: Guess: $174.25 Truth: $399.99 Error: $225.74 SLE: 0.69 Item: Causeair Big Inflatable Bounce House wit...\u001b[0m\n", - "\u001b[93m208: Guess: $68.68 Truth: $128.89 Error: $60.21 SLE: 0.39 Item: MAYS 3D Metal Puzzle Kit - Moving Mechan...\u001b[0m\n", - "\u001b[93m209: Guess: $164.46 Truth: $219.95 Error: $55.49 SLE: 0.08 Item: DisplayGifts Electric Guitar Display Cas...\u001b[0m\n", - "\u001b[91m210: Guess: $151.73 Truth: $42.98 Error: $108.75 SLE: 1.55 Item: QT RC Airplane, 2 Channel RC Plane, 2.4G...\u001b[0m\n", - "\u001b[93m211: Guess: $98.43 Truth: $37.76 Error: $60.67 SLE: 0.89 Item: Traxxas 5374X BRUSHLESS E-REVO Wheel/TI\u001b[0m\n", - "\u001b[92m212: Guess: $138.95 Truth: $98.99 Error: $39.96 SLE: 0.11 Item: Kotobukiya ARTFX+ Star Wars Stormtrooper...\u001b[0m\n", - "\u001b[93m213: Guess: $145.08 Truth: $189.95 Error: $44.87 SLE: 0.07 Item: Aosom 12V Ride On Toy Car for Kids with ...\u001b[0m\n", - "\u001b[93m214: Guess: $82.96 Truth: $5.48 Error: $77.48 SLE: 6.56 Item: Violin Bow Clip Kit Strings Bow Fixed Gr...\u001b[0m\n", - "\u001b[93m215: Guess: $115.10 Truth: $75.00 Error: $40.10 SLE: 0.18 Item: Funko POP Movies: Boondock Saints Connor...\u001b[0m\n", - "\u001b[92m216: Guess: $66.48 Truth: $34.99 Error: $31.49 SLE: 0.40 Item: Seasons Viking Princess Costume, Medium ...\u001b[0m\n", - "\u001b[93m217: Guess: $91.54 Truth: $16.99 Error: $74.55 SLE: 2.68 Item: Ernie Ball 2566 Aluminum Bronze Medium-L...\u001b[0m\n", - "\u001b[92m218: Guess: $40.28 Truth: $19.99 Error: $20.29 SLE: 0.46 Item: Egg Holder for Refrigerator Automatic Ro...\u001b[0m\n", - "\u001b[93m219: Guess: $184.21 Truth: $129.99 Error: $54.22 SLE: 0.12 Item: Zoom MS-50G MultiStomp Guitar Effects Pe...\u001b[0m\n", - "\u001b[91m220: Guess: $134.25 Truth: $254.35 Error: $120.10 SLE: 0.40 Item: SOUTHBEND RANGE 4440461 Hi Limit Retrofi...\u001b[0m\n", - "\u001b[92m221: Guess: $66.39 Truth: $37.99 Error: $28.40 SLE: 0.30 Item: 12 pack Acoustic Panels Self-Adhesive, 1...\u001b[0m\n", - "\u001b[93m222: Guess: $165.80 Truth: $219.99 Error: $54.19 SLE: 0.08 Item: Nektar Pacer - USB MIDI Footswitch Contr...\u001b[0m\n", - "\u001b[92m223: Guess: $88.71 Truth: $79.98 Error: $8.73 SLE: 0.01 Item: Steel Tongue Drum, Handpan Tank Drum 11 ...\u001b[0m\n", - "\u001b[93m224: Guess: $114.98 Truth: $51.95 Error: $63.03 SLE: 0.61 Item: Protect'em Covers Padded Dust Cover with...\u001b[0m\n", - "\u001b[93m225: Guess: $161.43 Truth: $94.66 Error: $66.77 SLE: 0.28 Item: Beast Kingdom The Dark Knight Returns: B...\u001b[0m\n", - "\u001b[93m226: Guess: $67.52 Truth: $16.99 Error: $50.53 SLE: 1.79 Item: Ant Mag Guitar Hanger Wall Mount Hooks S...\u001b[0m\n", - "\u001b[91m227: Guess: $137.12 Truth: $48.95 Error: $88.17 SLE: 1.03 Item: Diamond Select Toys Marvel Select: Gambi...\u001b[0m\n", - "\u001b[92m228: Guess: $58.47 Truth: $62.99 Error: $4.52 SLE: 0.01 Item: Shopkins Food Themed Pack Cupcake Collec...\u001b[0m\n", - "\u001b[92m229: Guess: $21.29 Truth: $24.95 Error: $3.66 SLE: 0.02 Item: Wettarn 10 Set Graduation Party Balloon ...\u001b[0m\n", - "\u001b[93m230: Guess: $125.28 Truth: $63.98 Error: $61.30 SLE: 0.44 Item: Spider-Man Marvel The Amazing Spider-Man...\u001b[0m\n", - "\u001b[93m231: Guess: $136.72 Truth: $84.95 Error: $51.77 SLE: 0.22 Item: Hot Wheels Team Hot Wheels Total Control...\u001b[0m\n", - "\u001b[93m232: Guess: $90.05 Truth: $39.99 Error: $50.06 SLE: 0.64 Item: DNYSYSJ Mini Portable Washing Machine, P...\u001b[0m\n", - "\u001b[92m233: Guess: $54.60 Truth: $42.99 Error: $11.61 SLE: 0.05 Item: Disco Mirror Ball Silver Hanging Balls f...\u001b[0m\n", - "\u001b[91m234: Guess: $110.90 Truth: $6.00 Error: $104.90 SLE: 7.68 Item: Djeco Stickers, Knights\u001b[0m\n", - "\u001b[92m235: Guess: $35.10 Truth: $28.89 Error: $6.21 SLE: 0.04 Item: PK Power AC/DC Adapter for Kurzweil Arti...\u001b[0m\n", - "\u001b[93m236: Guess: $93.33 Truth: $19.99 Error: $73.34 SLE: 2.26 Item: Supplying Demand WE04X20685 WE4M336 Clot...\u001b[0m\n", - "\u001b[93m237: Guess: $130.93 Truth: $75.00 Error: $55.93 SLE: 0.30 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", - "\u001b[92m238: Guess: $104.04 Truth: $79.99 Error: $24.05 SLE: 0.07 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", - "\u001b[91m239: Guess: $104.83 Truth: $11.95 Error: $92.88 SLE: 4.41 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", - "\u001b[92m240: Guess: $48.70 Truth: $46.39 Error: $2.31 SLE: 0.00 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", - "\u001b[92m241: Guess: $59.68 Truth: $28.99 Error: $30.69 SLE: 0.50 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", - "\u001b[91m242: Guess: $128.82 Truth: $35.96 Error: $92.86 SLE: 1.58 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", - "\u001b[92m243: Guess: $45.41 Truth: $56.40 Error: $10.99 SLE: 0.05 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", - "\u001b[93m244: Guess: $149.25 Truth: $99.00 Error: $50.25 SLE: 0.17 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", - "\u001b[93m245: Guess: $144.93 Truth: $82.88 Error: $62.05 SLE: 0.31 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", - "\u001b[92m246: Guess: $107.98 Truth: $84.88 Error: $23.10 SLE: 0.06 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", - "\u001b[93m247: Guess: $94.02 Truth: $53.00 Error: $41.02 SLE: 0.32 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", - "\u001b[93m248: Guess: $58.49 Truth: $12.13 Error: $46.36 SLE: 2.28 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", - "\u001b[92m249: Guess: $132.94 Truth: $114.99 Error: $17.95 SLE: 0.02 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", - "\u001b[92m250: Guess: $67.26 Truth: $51.29 Error: $15.97 SLE: 0.07 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" - ] - }, - { - "data": { - "image/png": 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", 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"\u001b[93m2: Guess: $128.56 Truth: $213.94 Error: $85.38 SLE: 0.26 Item: Southbend Range 1175016 Natural Gas Valv...\u001b[0m\n", - "\u001b[92m3: Guess: $62.34 Truth: $79.99 Error: $17.65 SLE: 0.06 Item: SUNY Party Lights DJ Stage Lighting 12 G...\u001b[0m\n", - "\u001b[92m4: Guess: $26.43 Truth: $18.99 Error: $7.44 SLE: 0.10 Item: 113PCS Birthday Party Supplies and Decor...\u001b[0m\n", - "\u001b[91m5: Guess: $205.67 Truth: $44.95 Error: $160.72 SLE: 2.26 Item: Artist Unknown A- B Box, Black (T-LPSMR ...\u001b[0m\n", - "\u001b[92m6: Guess: $64.13 Truth: $84.99 Error: $20.86 SLE: 0.08 Item: PINK Child’s Practice Chanter by R.G.Har...\u001b[0m\n", - "\u001b[91m7: Guess: $69.80 Truth: $592.95 Error: $523.15 SLE: 4.52 Item: PENNZONI 4ft Drum Shield w/Deflectors & ...\u001b[0m\n", - "\u001b[91m8: Guess: $118.38 Truth: $325.01 Error: $206.63 SLE: 1.01 Item: LEGO Bionicle Umarak The Destroyer (7131...\u001b[0m\n", - "\u001b[92m9: Guess: $65.93 Truth: $90.99 Error: $25.06 SLE: 0.10 Item: (Red) - Hape E3153 Toy, Multicolor\u001b[0m\n", - "\u001b[92m10: Guess: $66.06 Truth: $52.39 Error: $13.67 SLE: 0.05 Item: LEGO DUPLO My Town Birthday Party 10832,...\u001b[0m\n", - "\u001b[91m11: Guess: $115.36 Truth: $202.47 Error: $87.11 SLE: 0.31 Item: Aquamarine Fate/Grand Order: Alter Ego/O...\u001b[0m\n", - "\u001b[92m12: Guess: $139.16 Truth: $161.58 Error: $22.42 SLE: 0.02 Item: Mytheos Kakegurui xx: Mary Saotome 1:7 S...\u001b[0m\n", - "\u001b[91m13: Guess: $125.32 Truth: $25.95 Error: $99.37 SLE: 2.39 Item: Rotosond Stainless Steel Roundwound Bass...\u001b[0m\n", - "\u001b[92m14: Guess: $32.48 Truth: $44.05 Error: $11.57 SLE: 0.09 Item: DKKY Upgrade Shock Towers Bracket fit fo...\u001b[0m\n", - "\u001b[91m15: Guess: $195.89 Truth: $69.99 Error: $125.90 SLE: 1.04 Item: Ranch Concert Ukulele 23 inch Profession...\u001b[0m\n", - "\u001b[92m16: Guess: $119.14 Truth: $99.95 Error: $19.19 SLE: 0.03 Item: BOYA Large-Diaphragm Studio Microphone P...\u001b[0m\n", - "\u001b[93m17: Guess: $129.97 Truth: $89.69 Error: $40.28 SLE: 0.14 Item: TOYSLY Off-Road Pickup J40 Land Cruiser ...\u001b[0m\n", - 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"\u001b[93m34: Guess: $350.63 Truth: $539.99 Error: $189.36 SLE: 0.19 Item: Yamaha FGX830C Solid Top Cutaway Acousti...\u001b[0m\n", - "\u001b[93m35: Guess: $83.35 Truth: $41.30 Error: $42.05 SLE: 0.48 Item: Malifaux Third Edition Arcanists Colette...\u001b[0m\n", - "\u001b[92m36: Guess: $213.73 Truth: $229.95 Error: $16.22 SLE: 0.01 Item: Rockville RAM12BT 12\" Rechargable Powere...\u001b[0m\n", - "\u001b[92m37: Guess: $9.98 Truth: $3.89 Error: $6.09 SLE: 0.65 Item: Monoprice 107193 6.35-mm Stereo Plug to ...\u001b[0m\n", - "\u001b[91m38: Guess: $150.20 Truth: $14.61 Error: $135.59 SLE: 5.16 Item: Q-Parts Mini Dome Knob, EBONY ON BLACK\u001b[0m\n", - "\u001b[91m39: Guess: $163.57 Truth: $279.99 Error: $116.42 SLE: 0.29 Item: Heng Long Modified Edition 1/16 2.4ghz R...\u001b[0m\n", - "\u001b[92m40: Guess: $0.00 Truth: $15.99 Error: $15.99 SLE: 8.02 Item: Levy's Leathers MM8-BRN J.K. Gully Hook,...\u001b[0m\n", - "\u001b[92m41: Guess: $30.73 Truth: $9.99 Error: $20.74 SLE: 1.12 Item: CHIAOGOO Nylon Cable, Large, Multicolour\u001b[0m\n", - "\u001b[91m42: Guess: $119.38 Truth: $339.99 Error: $220.61 SLE: 1.08 Item: Bunnel Pupil Student Violin Outfit 1/2 S...\u001b[0m\n", - "\u001b[92m43: Guess: $60.59 Truth: $38.99 Error: $21.60 SLE: 0.19 Item: UGEARS Mechanical Wooden 3D Puzzle Model...\u001b[0m\n", - "\u001b[92m44: Guess: $32.13 Truth: $43.99 Error: $11.86 SLE: 0.09 Item: Puzzled Bundle of Dragons Asian Theme: L...\u001b[0m\n", - "\u001b[92m45: Guess: $35.57 Truth: $8.94 Error: $26.63 SLE: 1.70 Item: Barbie Chelsea Doll (6-inch Brunette) We...\u001b[0m\n", - "\u001b[92m46: Guess: $76.27 Truth: $46.30 Error: $29.97 SLE: 0.24 Item: amscan Miranda Rights\u001b[0m\n", - "\u001b[92m47: Guess: $38.76 Truth: $1.99 Error: $36.77 SLE: 6.70 Item: RetroArcade.us Jamma Standard and Plus C...\u001b[0m\n", - "\u001b[92m48: Guess: $27.40 Truth: $16.99 Error: $10.41 SLE: 0.21 Item: Seismic Audio SAGCRBK-20 Black 20-Feet W...\u001b[0m\n", - "\u001b[91m49: Guess: $44.20 Truth: $269.99 Error: $225.79 SLE: 3.21 Item: 1000pcs 14g Monte Carlo Poker Club Poker...\u001b[0m\n", - "\u001b[92m50: Guess: $66.26 Truth: $39.97 Error: $26.29 SLE: 0.25 Item: Cardfight Vanguard G Start Deck Odyssey ...\u001b[0m\n", - "\u001b[93m51: Guess: $65.75 Truth: $17.99 Error: $47.76 SLE: 1.58 Item: GOVOY Color Dough Dentist Doctor Drill a...\u001b[0m\n", - "\u001b[92m52: Guess: $42.44 Truth: $19.00 Error: $23.44 SLE: 0.60 Item: Wegrower Hand Chimes, Metal Chord Wind C...\u001b[0m\n", - "\u001b[92m53: Guess: $167.88 Truth: $199.00 Error: $31.12 SLE: 0.03 Item: 2.4GHz Wireless Lavalier Microphone Syst...\u001b[0m\n", - "\u001b[92m54: Guess: $26.41 Truth: $52.99 Error: $26.58 SLE: 0.46 Item: GLOBACT Steel 50T Center Diff Set Differ...\u001b[0m\n", - "\u001b[92m55: Guess: $66.99 Truth: $55.68 Error: $11.31 SLE: 0.03 Item: GENUINE Frigidaire 316442401 Range/Stove...\u001b[0m\n", - "\u001b[92m56: Guess: $65.69 Truth: $49.99 Error: $15.70 SLE: 0.07 Item: Jeereal Full Grain Genuine Padded Leathe...\u001b[0m\n", - "\u001b[92m57: Guess: $43.51 Truth: $20.99 Error: $22.52 SLE: 0.50 Item: Supplying Demand 8299642 W10135399 Cloth...\u001b[0m\n", - "\u001b[93m58: Guess: $105.76 Truth: $29.99 Error: $75.77 SLE: 1.53 Item: Electric Guitar Neck, Paddle Head DIY Un...\u001b[0m\n", - "\u001b[93m59: Guess: $190.88 Truth: $129.99 Error: $60.89 SLE: 0.15 Item: MXR M75 Super Badass Distortion Guitar E...\u001b[0m\n", - "\u001b[91m60: Guess: $220.38 Truth: $45.95 Error: $174.43 SLE: 2.40 Item: TCFUNDY DMX 512 Controller, 192 Channel ...\u001b[0m\n", - "\u001b[92m61: Guess: $180.20 Truth: $209.99 Error: $29.79 SLE: 0.02 Item: Vangoa 5 String Banjo Remo Head Closed S...\u001b[0m\n", - "\u001b[92m62: Guess: $107.66 Truth: $119.95 Error: $12.29 SLE: 0.01 Item: The Simpsons Exclusive Playset Moe's Bar...\u001b[0m\n", - "\u001b[92m63: Guess: $167.39 Truth: $179.00 Error: $11.61 SLE: 0.00 Item: Celestion G12-65 Heritage Guitar Speaker...\u001b[0m\n", - "\u001b[93m64: Guess: $86.71 Truth: $17.99 Error: $68.72 SLE: 2.34 Item: Sinnya 6 Pack Filter T HFT600 Filter Com...\u001b[0m\n", - "\u001b[92m65: Guess: $50.57 Truth: $22.95 Error: $27.62 SLE: 0.59 Item: PANYARD Steel Drum (JUMBIE JAM)\u001b[0m\n", - "\u001b[91m66: Guess: $206.57 Truth: $89.00 Error: $117.57 SLE: 0.70 Item: Zwide Professional Wireless Lavalier Mic...\u001b[0m\n", - "\u001b[92m67: Guess: $89.95 Truth: $82.90 Error: $7.05 SLE: 0.01 Item: Good Smile Re: Zero - Starting Life in A...\u001b[0m\n", - "\u001b[91m68: Guess: $88.44 Truth: $219.99 Error: $131.55 SLE: 0.82 Item: Latin Percussion LP981 LP Timbale Stand,...\u001b[0m\n", - "\u001b[92m69: Guess: $44.66 Truth: $43.59 Error: $1.07 SLE: 0.00 Item: Replacement Water filter for Maytag UKF-...\u001b[0m\n", - "\u001b[91m70: Guess: $189.13 Truth: $19.95 Error: $169.18 SLE: 4.86 Item: Monster Trombone Care and Cleaning Kit |...\u001b[0m\n", - "\u001b[92m71: Guess: $85.77 Truth: $101.00 Error: $15.23 SLE: 0.03 Item: LG Electronics AEQ72909602 Refrigerator ...\u001b[0m\n", - "\u001b[91m72: Guess: $109.51 Truth: $239.99 Error: $130.48 SLE: 0.61 Item: Korilakkuma San-X Original Plush (Jumbo)\u001b[0m\n", - "\u001b[93m73: Guess: $90.11 Truth: $28.61 Error: $61.50 SLE: 1.26 Item: Great Eastern Entertainment Cowboy Bebop...\u001b[0m\n", - "\u001b[92m74: Guess: $78.61 Truth: $55.99 Error: $22.62 SLE: 0.11 Item: Haxtec Natural Amethyst Gemstone DND Dic...\u001b[0m\n", - "\u001b[92m75: Guess: $87.18 Truth: $49.43 Error: $37.75 SLE: 0.31 Item: Pop 587 The Elder Scrolls V Skyrim Sheog...\u001b[0m\n", - "\u001b[92m76: Guess: $98.66 Truth: $97.49 Error: $1.17 SLE: 0.00 Item: Funko Pop Games: Mortal Combat - Kitana ...\u001b[0m\n", - "\u001b[91m77: Guess: $237.84 Truth: $439.99 Error: $202.15 SLE: 0.38 Item: SKB 3I-3019-12BC iSeries 30 1/2\" x 19 1/...\u001b[0m\n", - "\u001b[92m78: Guess: $56.88 Truth: $34.99 Error: $21.89 SLE: 0.23 Item: Veemoon Wedding Cake Topper Figurines Ol...\u001b[0m\n", - "\u001b[92m79: Guess: $162.12 Truth: $146.99 Error: $15.13 SLE: 0.01 Item: Kinglos 4/4 White Ebony Fitted Solid Woo...\u001b[0m\n", - "\u001b[92m80: Guess: $37.11 Truth: $8.39 Error: $28.72 SLE: 1.96 Item: Reaper Miniatures 2008 Christmas Sophie ...\u001b[0m\n", - "\u001b[92m81: Guess: $30.77 Truth: $38.89 Error: $8.12 SLE: 0.05 Item: Greture Sunflower Home Kitchen Decoratio...\u001b[0m\n", - "\u001b[92m82: Guess: $126.47 Truth: $97.95 Error: $28.52 SLE: 0.06 Item: Stormcast Eternals Celestant-Prime Hamme...\u001b[0m\n", - "\u001b[93m83: Guess: $137.08 Truth: $199.99 Error: $62.91 SLE: 0.14 Item: JIM DUNLOP Slash Wah Guitar Effects Peda...\u001b[0m\n", - "\u001b[92m84: Guess: $75.84 Truth: $41.99 Error: $33.85 SLE: 0.34 Item: Bilingual Quiet Book for Toddlers | Writ...\u001b[0m\n", - "\u001b[91m85: Guess: $246.62 Truth: $96.95 Error: $149.67 SLE: 0.86 Item: Exotic Electric Guitar Body Blank Wood V...\u001b[0m\n", - "\u001b[91m86: Guess: $282.58 Truth: $179.00 Error: $103.58 SLE: 0.21 Item: CAVALIERE Under Cabinet Range Hood 30\" I...\u001b[0m\n", - "\u001b[93m87: Guess: $115.83 Truth: $40.99 Error: $74.84 SLE: 1.05 Item: JUSOP Microphone Isolation Shield with P...\u001b[0m\n", - "\u001b[92m88: Guess: $11.10 Truth: $2.39 Error: $8.71 SLE: 1.62 Item: YU-GI-OH! - 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"\u001b[92m97: Guess: $93.47 Truth: $57.98 Error: $35.49 SLE: 0.22 Item: Batman Dark Knight Movie Master Exclusiv...\u001b[0m\n", - "\u001b[93m98: Guess: $129.67 Truth: $55.89 Error: $73.78 SLE: 0.69 Item: KOKKO Looper Guitar Pedal Effects Mini L...\u001b[0m\n", - "\u001b[92m99: Guess: $49.16 Truth: $58.99 Error: $9.83 SLE: 0.03 Item: Upgraded Microphone Studio Recording Kit...\u001b[0m\n", - "\u001b[92m100: Guess: $67.88 Truth: $56.92 Error: $10.96 SLE: 0.03 Item: Redcat Racing Hexfly 3600 25C 11.1V LiPo...\u001b[0m\n", - "\u001b[93m101: Guess: $83.44 Truth: $33.99 Error: $49.45 SLE: 0.78 Item: CuberSpeed GAN 356 Air Speed Cube GAN 11...\u001b[0m\n", - "\u001b[92m102: Guess: $0.00 Truth: $3.07 Error: $3.07 SLE: 1.97 Item: Yu-Gi-Oh! - Icarus Attack (EOJ-EN055) - ...\u001b[0m\n", - "\u001b[91m103: Guess: $164.87 Truth: $48.64 Error: $116.23 SLE: 1.46 Item: Hohner Green Tones 3750 Beginner Drum Se...\u001b[0m\n", - "\u001b[92m104: Guess: $22.46 Truth: $32.62 Error: $10.16 SLE: 0.13 Item: Musiclily Pro 13-Hole Aluminum Vintage 6...\u001b[0m\n", - "\u001b[93m105: Guess: $215.32 Truth: $149.99 Error: $65.33 SLE: 0.13 Item: PreSonus AudioBox iTwo Studio USB 2.0 Re...\u001b[0m\n", - "\u001b[92m106: Guess: $163.63 Truth: $199.95 Error: $36.32 SLE: 0.04 Item: Rockville MOTIONSTRIP Motorized Moving H...\u001b[0m\n", - "\u001b[93m107: Guess: $66.90 Truth: $22.88 Error: $44.02 SLE: 1.09 Item: Hot Racing TFF125HM01 Aluminum reinforce...\u001b[0m\n", - "\u001b[92m108: Guess: $53.69 Truth: $22.23 Error: $31.46 SLE: 0.73 Item: Disney Cars Toys Movie Die-cast Characte...\u001b[0m\n", - "\u001b[92m109: Guess: $40.12 Truth: $62.99 Error: $22.87 SLE: 0.20 Item: HASMX 2 Pack Replacement Humidifier Filt...\u001b[0m\n", - "\u001b[91m110: Guess: $173.65 Truth: $299.00 Error: $125.35 SLE: 0.29 Item: Frigidaire 5304495520 Oven Control Board...\u001b[0m\n", - "\u001b[92m111: Guess: $22.33 Truth: $1.09 Error: $21.24 SLE: 5.82 Item: Magic: the Gathering - Drake Umbra - Ris...\u001b[0m\n", - "\u001b[93m112: Guess: $59.99 Truth: $118.99 Error: $59.00 SLE: 0.46 Item: Mezco Toyz Living Dead Dolls Series 23 -...\u001b[0m\n", - "\u001b[92m113: Guess: $107.98 Truth: $119.81 Error: $11.83 SLE: 0.01 Item: Hey! Play! Classic Giant Wooden Blocks T...\u001b[0m\n", - "\u001b[92m114: Guess: $12.46 Truth: $21.99 Error: $9.53 SLE: 0.29 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", - "\u001b[93m115: Guess: $97.20 Truth: $21.75 Error: $75.45 SLE: 2.14 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", - "\u001b[93m116: Guess: $108.61 Truth: $41.88 Error: $66.73 SLE: 0.88 Item: Funko Pop! Moment: Inuyasha - Inuyasha V...\u001b[0m\n", - "\u001b[91m117: Guess: $138.18 Truth: $275.00 Error: $136.82 SLE: 0.47 Item: Kotobukiya Dc Comics Batgirl Bishoujo St...\u001b[0m\n", - "\u001b[92m118: Guess: $80.64 Truth: $72.99 Error: $7.65 SLE: 0.01 Item: Ravensburger 540 Celestial Map Gloin- in...\u001b[0m\n", - "\u001b[92m119: Guess: $27.36 Truth: $29.15 Error: $1.79 SLE: 0.00 Item: Steiff USA Handmade Light Brown Lumpi Li...\u001b[0m\n", - "\u001b[92m120: Guess: $111.74 Truth: $98.00 Error: $13.74 SLE: 0.02 Item: Tengen Toppa Gurren Lagann Revoltech #05...\u001b[0m\n", - "\u001b[92m121: Guess: $165.23 Truth: $139.99 Error: $25.24 SLE: 0.03 Item: WWE Elite Collection Road Dogg Action Fi...\u001b[0m\n", - "\u001b[92m122: Guess: $128.78 Truth: $94.95 Error: $33.83 SLE: 0.09 Item: Singing Machine STVG782BK Groove XL Kara...\u001b[0m\n", - "\u001b[92m123: Guess: $52.15 Truth: $41.99 Error: $10.16 SLE: 0.04 Item: Ruibo 88 Key Keyboard Gig Bag Case for E...\u001b[0m\n", - "\u001b[93m124: Guess: $90.89 Truth: $19.99 Error: $70.90 SLE: 2.18 Item: STAR WARS The Vintage Collection Snaggle...\u001b[0m\n", - "\u001b[92m125: Guess: $185.91 Truth: $197.99 Error: $12.08 SLE: 0.00 Item: Truetone V3 Jekyll & Hyde Overdrive & Di...\u001b[0m\n", - "\u001b[93m126: Guess: $74.40 Truth: $12.76 Error: $61.64 SLE: 2.89 Item: 13 Inch Authentic Indian Wooden Bamboo F...\u001b[0m\n", - "\u001b[91m127: Guess: $82.67 Truth: $179.95 Error: $97.28 SLE: 0.59 Item: 48 Pack of (12 x 12 x 2)Inch Acoustical ...\u001b[0m\n", - "\u001b[92m128: Guess: $16.87 Truth: $16.99 Error: $0.12 SLE: 0.00 Item: Writing Tablet 10 Inch Drawing Pad, Colo...\u001b[0m\n", - "\u001b[91m129: Guess: $163.72 Truth: $529.20 Error: $365.48 SLE: 1.37 Item: TAMIYA 1/14 King Hauler 10X8WD Semi Trac...\u001b[0m\n", - "\u001b[92m130: Guess: $66.88 Truth: $39.59 Error: $27.29 SLE: 0.26 Item: DIAMOND SELECT TOYS John Wick 3 Casual S...\u001b[0m\n", - "\u001b[92m131: Guess: $153.05 Truth: $174.42 Error: $21.37 SLE: 0.02 Item: Bandai Tamashii Nations The Dark Knight ...\u001b[0m\n", - "\u001b[93m132: Guess: $78.08 Truth: $17.99 Error: $60.09 SLE: 2.03 Item: Jiayouy 15Pcs 4/4-3/4 Size Violin Fiddle...\u001b[0m\n", - "\u001b[92m133: Guess: $142.79 Truth: $149.00 Error: $6.21 SLE: 0.00 Item: Mould King 13082 Pickup Truck Block Kits...\u001b[0m\n", - "\u001b[92m134: Guess: $29.66 Truth: $49.99 Error: $20.33 SLE: 0.26 Item: UGEARS 3D Puzzle for Board Games - Woode...\u001b[0m\n", - "\u001b[91m135: Guess: $109.24 Truth: $359.99 Error: $250.75 SLE: 1.41 Item: HONEY JOY Inflatable Water Slide, 6 in 1...\u001b[0m\n", - "\u001b[91m136: Guess: $130.35 Truth: $24.99 Error: $105.36 SLE: 2.62 Item: ABY Selecor Combiner Switch AB Box New P...\u001b[0m\n", - "\u001b[92m137: Guess: $29.88 Truth: $27.99 Error: $1.89 SLE: 0.00 Item: 12 Small Gun Set for Nerf Party Supplies...\u001b[0m\n", - "\u001b[91m138: Guess: $114.26 Truth: $247.00 Error: $132.74 SLE: 0.59 Item: Seymour Duncan - 11201-03-Cset - SSL-2 V...\u001b[0m\n", - "\u001b[92m139: Guess: $120.96 Truth: $121.15 Error: $0.19 SLE: 0.00 Item: Odyssey Scrim Werks SWLTPSBLK 360 degree...\u001b[0m\n", - "\u001b[92m140: Guess: $30.69 Truth: $43.37 Error: $12.68 SLE: 0.11 Item: Natural Goatskin, 22\", Medium\u001b[0m\n", - "\u001b[92m141: Guess: $131.81 Truth: $169.99 Error: $38.18 SLE: 0.06 Item: CKYSCHN Remote Control Helicopter, WLtoy...\u001b[0m\n", - "\u001b[91m142: Guess: $182.45 Truth: $549.99 Error: $367.54 SLE: 1.21 Item: Goldtone M Bass Microbass Fretless Short...\u001b[0m\n", - "\u001b[91m143: Guess: $123.84 Truth: $19.95 Error: $103.89 SLE: 3.19 Item: Remo Diplomat Coated Drumhead, 13\"\u001b[0m\n", - "\u001b[92m144: Guess: $37.78 Truth: $18.98 Error: $18.80 SLE: 0.44 Item: MOMOFULL High Chair Decorations for 1st ...\u001b[0m\n", - "\u001b[92m145: Guess: $44.59 Truth: $11.99 Error: $32.60 SLE: 1.58 Item: Nature Bound Butterfly Net Bug Catcher f...\u001b[0m\n", - "\u001b[92m146: Guess: $93.17 Truth: $56.40 Error: $36.77 SLE: 0.25 Item: Swing Set Stuff Inc. Commercial Rubber B...\u001b[0m\n", - "\u001b[92m147: Guess: $194.32 Truth: $179.99 Error: $14.33 SLE: 0.01 Item: Other, 4-String Electric/Acoustic Cutawa...\u001b[0m\n", - "\u001b[92m148: Guess: $163.00 Truth: $199.95 Error: $36.95 SLE: 0.04 Item: Classic Heartwood Bugarabu Drum 9\"x24\" -...\u001b[0m\n", - "\u001b[92m149: Guess: $38.25 Truth: $34.99 Error: $3.26 SLE: 0.01 Item: Toddler Meerkat Costume\u001b[0m\n", - "\u001b[93m150: Guess: $144.80 Truth: $74.95 Error: $69.85 SLE: 0.43 Item: CampCo Sniper Rifle Gun Building Blocks ...\u001b[0m\n", - "\u001b[93m151: Guess: $64.77 Truth: $19.99 Error: $44.78 SLE: 1.30 Item: YOCOM Wireless Lavalier Lapel Microphone...\u001b[0m\n", - "\u001b[91m152: Guess: $360.97 Truth: $199.99 Error: $160.98 SLE: 0.35 Item: Costzon Inflatable Bounce House, Kids Bo...\u001b[0m\n", - "\u001b[91m153: Guess: $292.05 Truth: $99.99 Error: $192.06 SLE: 1.13 Item: Vertex Steel String Clean Drive MKII\u001b[0m\n", - "\u001b[92m154: Guess: $52.57 Truth: $28.47 Error: $24.10 SLE: 0.36 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", - "\u001b[93m155: Guess: $133.00 Truth: $78.89 Error: $54.11 SLE: 0.27 Item: LEGO Castle Gold Getaway\u001b[0m\n", - "\u001b[92m156: Guess: $159.70 Truth: $146.00 Error: $13.70 SLE: 0.01 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", - "\u001b[92m157: Guess: $106.21 Truth: $71.98 Error: $34.23 SLE: 0.15 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", - "\u001b[91m158: Guess: $160.51 Truth: $12.29 Error: $148.22 SLE: 6.24 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", - "\u001b[93m159: Guess: $79.32 Truth: $38.99 Error: $40.33 SLE: 0.49 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", - "\u001b[93m160: Guess: $72.08 Truth: $16.97 Error: $55.11 SLE: 1.97 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", - "\u001b[92m161: Guess: $277.93 Truth: $302.49 Error: $24.56 SLE: 0.01 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", - "\u001b[92m162: Guess: $0.00 Truth: $24.95 Error: $24.95 SLE: 10.60 Item: Do A Dot Art Fruit Scented Washable Dot ...\u001b[0m\n", - "\u001b[92m163: Guess: $66.94 Truth: $79.73 Error: $12.79 SLE: 0.03 Item: Mattel Games FTB29 Phase 10 Strategy Boa...\u001b[0m\n", - "\u001b[93m164: Guess: $50.87 Truth: $3.96 Error: $46.91 SLE: 5.51 Item: American Art Classics Paul McCartney Mil...\u001b[0m\n", - "\u001b[92m165: Guess: $136.76 Truth: $99.99 Error: $36.77 SLE: 0.10 Item: Replogle Reso REP-S14 Traditional Resona...\u001b[0m\n", - "\u001b[91m166: Guess: $134.43 Truth: $32.50 Error: $101.93 SLE: 1.95 Item: Technica Brand Compatible Waste Toner Co...\u001b[0m\n", - "\u001b[92m167: Guess: $60.02 Truth: $54.99 Error: $5.03 SLE: 0.01 Item: RCMYou RC Stainless Steel Drive Shaft CV...\u001b[0m\n", - "\u001b[92m168: Guess: $42.70 Truth: $6.22 Error: $36.48 SLE: 3.24 Item: BQLZR Guitar Potentiometer B500K Push/Pu...\u001b[0m\n", - "\u001b[91m169: Guess: $133.41 Truth: $49.55 Error: $83.86 SLE: 0.96 Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", - "\u001b[92m170: Guess: $37.26 Truth: $8.99 Error: $28.27 SLE: 1.80 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", - "\u001b[92m171: Guess: $112.17 Truth: $92.16 Error: $20.01 SLE: 0.04 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", - "\u001b[92m172: Guess: $112.60 Truth: $139.99 Error: $27.39 SLE: 0.05 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", - "\u001b[91m173: Guess: $165.99 Truth: $77.98 Error: $88.01 SLE: 0.56 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", - "\u001b[92m174: Guess: $128.69 Truth: $119.95 Error: $8.74 SLE: 0.00 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", - "\u001b[91m175: Guess: $108.46 Truth: $379.95 Error: $271.49 SLE: 1.56 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", - "\u001b[92m176: Guess: $78.30 Truth: $64.99 Error: $13.31 SLE: 0.03 Item: Merchants & Marauders\u001b[0m\n", - "\u001b[93m177: Guess: $157.23 Truth: $99.00 Error: $58.23 SLE: 0.21 Item: Ryze Tech Tello - Mini Drone Quadcopter ...\u001b[0m\n", - "\u001b[92m178: Guess: $19.49 Truth: $37.50 Error: $18.01 SLE: 0.40 Item: Jigsaw Puzzles Switzerland Lion Lucerne ...\u001b[0m\n", - "\u001b[91m179: Guess: $181.41 Truth: $99.95 Error: $81.46 SLE: 0.35 Item: Avedis Zildjian Company ZILDJIAN S8S 8-I...\u001b[0m\n", - "\u001b[92m180: Guess: $47.71 Truth: $25.59 Error: $22.12 SLE: 0.37 Item: Sueseip Kids Smart Watches Girls with 24...\u001b[0m\n", - "\u001b[93m181: Guess: $220.99 Truth: $159.00 Error: $61.99 SLE: 0.11 Item: EMG ACS Acoustic Guitar Soundhole Pickup...\u001b[0m\n", - "\u001b[92m182: Guess: $193.44 Truth: $165.10 Error: $28.34 SLE: 0.02 Item: Hipshot Tone-a-Matic Tuneomatic Bridge T...\u001b[0m\n", - "\u001b[93m183: Guess: $110.67 Truth: $51.09 Error: $59.58 SLE: 0.58 Item: Sunny toys 28\" Angel Full Body Puppet\u001b[0m\n", - "\u001b[91m184: Guess: $98.69 Truth: $291.99 Error: $193.30 SLE: 1.16 Item: Btuty Eb E-flat Alto Saxophone Professio...\u001b[0m\n", - "\u001b[93m185: Guess: $73.88 Truth: $13.99 Error: $59.89 SLE: 2.59 Item: Luluo Santa Claus Christmas Kids Santa S...\u001b[0m\n", - "\u001b[91m186: Guess: $53.97 Truth: $139.95 Error: $85.98 SLE: 0.89 Item: OEM Samsung Dryer Lint Filter Screen Tra...\u001b[0m\n", - "\u001b[92m187: Guess: $33.44 Truth: $9.99 Error: $23.45 SLE: 1.30 Item: Funnlot Hanukkah Games Chanukah Game Han...\u001b[0m\n", - "\u001b[92m188: Guess: $20.04 Truth: $9.99 Error: $10.05 SLE: 0.42 Item: Coola Christmas Crafts Kit for Kids - To...\u001b[0m\n", - "\u001b[91m189: Guess: $267.83 Truth: $699.99 Error: $432.16 SLE: 0.92 Item: Ibanez AG95QA AG Artcore Expressionist 6...\u001b[0m\n", - "\u001b[92m190: Guess: $104.57 Truth: $139.41 Error: $34.84 SLE: 0.08 Item: DW Hobby 3D Flying Airplane YAK55 800mm ...\u001b[0m\n", - "\u001b[93m191: Guess: $173.63 Truth: $132.95 Error: $40.68 SLE: 0.07 Item: STEAMFORGED Godtear Eternal Glade Starte...\u001b[0m\n", - "\u001b[92m192: Guess: $29.32 Truth: $8.90 Error: $20.42 SLE: 1.25 Item: Interal Shop Guitar and Bass String Mute...\u001b[0m\n", - "\u001b[92m193: Guess: $89.49 Truth: $69.41 Error: $20.08 SLE: 0.06 Item: Electrolux 316443601 Door Handle\u001b[0m\n", - "\u001b[91m194: Guess: $177.10 Truth: $49.95 Error: $127.15 SLE: 1.57 Item: Maisto R/C 27Mhz (3-Channel) Rock Crawle...\u001b[0m\n", - "\u001b[92m195: Guess: $48.67 Truth: $20.99 Error: $27.68 SLE: 0.66 Item: Odowalker Pack of 4 Dishwasher Premium W...\u001b[0m\n", - "\u001b[91m196: Guess: $75.60 Truth: $314.95 Error: $239.35 SLE: 2.01 Item: Pokemon TCG: XY Evolutions Elite Trainer...\u001b[0m\n", - "\u001b[91m197: Guess: $109.21 Truth: $27.99 Error: $81.22 SLE: 1.78 Item: Transformer Toy Deformation Robot Toy St...\u001b[0m\n", - "\u001b[92m198: Guess: $51.07 Truth: $54.99 Error: $3.92 SLE: 0.01 Item: PlanToys Van Walker, Yellow\u001b[0m\n", - "\u001b[93m199: Guess: $76.24 Truth: $27.99 Error: $48.25 SLE: 0.96 Item: Living Nature Brown Bear, Realistic Medi...\u001b[0m\n", - "\u001b[93m200: Guess: $64.64 Truth: $16.99 Error: $47.65 SLE: 1.68 Item: Silence Razer Mini Shock Mount with Foam...\u001b[0m\n", - "\u001b[92m201: Guess: $123.32 Truth: $119.95 Error: $3.37 SLE: 0.00 Item: LEGO NINJAGO Fire Stone Mech 71720 Build...\u001b[0m\n", - "\u001b[92m202: Guess: $111.22 Truth: $110.67 Error: $0.55 SLE: 0.00 Item: Saint Seiya Myth Cloth Sea Dragon Kanon ...\u001b[0m\n", - "\u001b[92m203: Guess: $76.65 Truth: $57.99 Error: $18.66 SLE: 0.08 Item: Funko POP Games: Fallout 4 Liberty Prime...\u001b[0m\n", - "\u001b[92m204: Guess: $170.29 Truth: $169.00 Error: $1.29 SLE: 0.00 Item: Kala KA-CE Satin Mahogany Concert Electr...\u001b[0m\n", - "\u001b[92m205: Guess: $127.41 Truth: $108.15 Error: $19.26 SLE: 0.03 Item: Bandaï Saint Seiya Saint Cloth Myth Appe...\u001b[0m\n", - "\u001b[92m206: Guess: $67.69 Truth: $30.99 Error: $36.70 SLE: 0.58 Item: LESHITIAN Kids Laptop, 65 Learning Activ...\u001b[0m\n", - "\u001b[91m207: Guess: $183.16 Truth: $399.99 Error: $216.83 SLE: 0.61 Item: Causeair Big Inflatable Bounce House wit...\u001b[0m\n", - "\u001b[93m208: Guess: $55.71 Truth: $128.89 Error: $73.18 SLE: 0.69 Item: MAYS 3D Metal Puzzle Kit - Moving Mechan...\u001b[0m\n", - "\u001b[92m209: Guess: $193.34 Truth: $219.95 Error: $26.61 SLE: 0.02 Item: DisplayGifts Electric Guitar Display Cas...\u001b[0m\n", - "\u001b[91m210: Guess: $164.56 Truth: $42.98 Error: $121.58 SLE: 1.76 Item: QT RC Airplane, 2 Channel RC Plane, 2.4G...\u001b[0m\n", - "\u001b[92m211: Guess: $21.25 Truth: $37.76 Error: $16.51 SLE: 0.31 Item: Traxxas 5374X BRUSHLESS E-REVO Wheel/TI\u001b[0m\n", - "\u001b[93m212: Guess: $154.61 Truth: $98.99 Error: $55.62 SLE: 0.20 Item: Kotobukiya ARTFX+ Star Wars Stormtrooper...\u001b[0m\n", - "\u001b[93m213: Guess: $126.97 Truth: $189.95 Error: $62.98 SLE: 0.16 Item: Aosom 12V Ride On Toy Car for Kids with ...\u001b[0m\n", - "\u001b[93m214: Guess: $46.51 Truth: $5.48 Error: $41.03 SLE: 3.97 Item: Violin Bow Clip Kit Strings Bow Fixed Gr...\u001b[0m\n", - "\u001b[92m215: Guess: $94.02 Truth: $75.00 Error: $19.02 SLE: 0.05 Item: Funko POP Movies: Boondock Saints Connor...\u001b[0m\n", - "\u001b[93m216: Guess: $77.05 Truth: $34.99 Error: $42.06 SLE: 0.60 Item: Seasons Viking Princess Costume, Medium ...\u001b[0m\n", - "\u001b[93m217: Guess: $57.96 Truth: $16.99 Error: $40.97 SLE: 1.41 Item: Ernie Ball 2566 Aluminum Bronze Medium-L...\u001b[0m\n", - "\u001b[92m218: Guess: $26.03 Truth: $19.99 Error: $6.04 SLE: 0.06 Item: Egg Holder for Refrigerator Automatic Ro...\u001b[0m\n", - "\u001b[92m219: Guess: $128.01 Truth: $129.99 Error: $1.98 SLE: 0.00 Item: Zoom MS-50G MultiStomp Guitar Effects Pe...\u001b[0m\n", - "\u001b[91m220: Guess: $141.79 Truth: $254.35 Error: $112.56 SLE: 0.34 Item: SOUTHBEND RANGE 4440461 Hi Limit Retrofi...\u001b[0m\n", - "\u001b[92m221: Guess: $15.55 Truth: $37.99 Error: $22.44 SLE: 0.73 Item: 12 pack Acoustic Panels Self-Adhesive, 1...\u001b[0m\n", - "\u001b[92m222: Guess: $180.67 Truth: $219.99 Error: $39.32 SLE: 0.04 Item: Nektar Pacer - USB MIDI Footswitch Contr...\u001b[0m\n", - "\u001b[92m223: Guess: $108.29 Truth: $79.98 Error: $28.31 SLE: 0.09 Item: Steel Tongue Drum, Handpan Tank Drum 11 ...\u001b[0m\n", - "\u001b[93m224: Guess: $106.90 Truth: $51.95 Error: $54.95 SLE: 0.51 Item: Protect'em Covers Padded Dust Cover with...\u001b[0m\n", - "\u001b[93m225: Guess: $152.05 Truth: $94.66 Error: $57.39 SLE: 0.22 Item: Beast Kingdom The Dark Knight Returns: B...\u001b[0m\n", - "\u001b[92m226: Guess: $0.00 Truth: $16.99 Error: $16.99 SLE: 8.35 Item: Ant Mag Guitar Hanger Wall Mount Hooks S...\u001b[0m\n", - "\u001b[93m227: Guess: $99.62 Truth: $48.95 Error: $50.67 SLE: 0.49 Item: Diamond Select Toys Marvel Select: Gambi...\u001b[0m\n", - "\u001b[92m228: Guess: $36.01 Truth: $62.99 Error: $26.98 SLE: 0.30 Item: Shopkins Food Themed Pack Cupcake Collec...\u001b[0m\n", - "\u001b[92m229: Guess: $5.21 Truth: $24.95 Error: $19.74 SLE: 2.05 Item: Wettarn 10 Set Graduation Party Balloon ...\u001b[0m\n", - "\u001b[92m230: Guess: $84.18 Truth: $63.98 Error: $20.20 SLE: 0.07 Item: Spider-Man Marvel The Amazing Spider-Man...\u001b[0m\n", - "\u001b[91m231: Guess: $176.17 Truth: $84.95 Error: $91.22 SLE: 0.52 Item: Hot Wheels Team Hot Wheels Total Control...\u001b[0m\n", - "\u001b[91m232: Guess: $122.51 Truth: $39.99 Error: $82.52 SLE: 1.22 Item: DNYSYSJ Mini Portable Washing Machine, P...\u001b[0m\n", - "\u001b[92m233: Guess: $21.89 Truth: $42.99 Error: $21.10 SLE: 0.43 Item: Disco Mirror Ball Silver Hanging Balls f...\u001b[0m\n", - "\u001b[93m234: Guess: $68.01 Truth: $6.00 Error: $62.01 SLE: 5.24 Item: Djeco Stickers, Knights\u001b[0m\n", - "\u001b[92m235: Guess: $18.26 Truth: $28.89 Error: $10.63 SLE: 0.19 Item: PK Power AC/DC Adapter for Kurzweil Arti...\u001b[0m\n", - "\u001b[93m236: Guess: $62.63 Truth: $19.99 Error: $42.64 SLE: 1.23 Item: Supplying Demand WE04X20685 WE4M336 Clot...\u001b[0m\n", - "\u001b[92m237: Guess: $63.71 Truth: $75.00 Error: $11.29 SLE: 0.03 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", - "\u001b[92m238: Guess: $103.35 Truth: $79.99 Error: $23.36 SLE: 0.06 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", - "\u001b[91m239: Guess: $120.66 Truth: $11.95 Error: $108.71 SLE: 5.02 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", - "\u001b[93m240: Guess: $98.68 Truth: $46.39 Error: $52.29 SLE: 0.55 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", - "\u001b[92m241: Guess: $44.45 Truth: $28.99 Error: $15.46 SLE: 0.17 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", - "\u001b[92m242: Guess: $68.10 Truth: $35.96 Error: $32.14 SLE: 0.39 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", - "\u001b[92m243: Guess: $61.53 Truth: $56.40 Error: $5.13 SLE: 0.01 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", - "\u001b[93m244: Guess: $154.38 Truth: $99.00 Error: $55.38 SLE: 0.19 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", - "\u001b[91m245: Guess: $166.72 Truth: $82.88 Error: $83.84 SLE: 0.48 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", - "\u001b[92m246: Guess: $105.58 Truth: $84.88 Error: $20.70 SLE: 0.05 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", - "\u001b[93m247: Guess: $109.66 Truth: $53.00 Error: $56.66 SLE: 0.51 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", - "\u001b[91m248: Guess: $104.01 Truth: $12.13 Error: $91.88 SLE: 4.32 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", - "\u001b[93m249: Guess: $163.88 Truth: $114.99 Error: $48.89 SLE: 0.12 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", - "\u001b[92m250: Guess: $82.07 Truth: $51.29 Error: $30.78 SLE: 0.21 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "Tester.test(xg_b, test)" ] @@ -1353,7 +336,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "9f759bd2-7a7e-4c1a-80a0-e12470feca89", "metadata": {}, "outputs": [], @@ -1363,21 +346,10 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "e44dbd25-fb95-4b6b-bbbb-8da5fc817105", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "150.0\n", - "139.99\n", - "193.3397000000001\n", - "208.99522\n" - ] - } - ], + "outputs": [], "source": [ "print(specialist.price(product))\n", "print(frontier.price(product))\n", @@ -1387,18 +359,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "1779b353-e2bb-4fc7-be7c-93057e4d688a", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 250/250 [14:22<00:00, 3.45s/it]\n" - ] - } - ], + "outputs": [], "source": [ "specialists = []\n", "frontiers = []\n", @@ -1417,7 +381,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "f0bca725-4e34-405b-8d90-41d67086a25d", "metadata": {}, "outputs": [], @@ -1440,24 +404,10 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "baac4947-02d8-4d12-82ed-9ace3c0bee39", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Specialist: 0.25\n", - "Frontier: 0.41\n", - "RandomForest: -0.21\n", - "XGBoost: -0.28\n", - "Min: 0.69\n", - "Max: 0.25\n", - "Intercept=17.02\n" - ] - } - ], + "outputs": [], "source": [ "# Train a Linear Regression - current\n", "np.random.seed(42)\n", @@ -1474,23 +424,10 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "id": "702de4cb-2311-4753-9c05-f3a0fa7e9990", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Specialist: 0.39\n", - "Frontier: 0.54\n", - "RandomForest: -0.20\n", - "Min: 0.27\n", - "Max: 0.03\n", - "Intercept=17.26\n" - ] - } - ], + "outputs": [], "source": [ "# Train a Linear Regression - old vals w/o xg\n", "np.random.seed(42)\n", @@ -1507,42 +444,20 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "id": "0bdf6e68-28a3-4ed2-b17e-de0ede923d34", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['ensemble_model.pkl']" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "joblib.dump(lr, 'ensemble_model.pkl')" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "id": "e762441a-9470-4dd7-8a8f-ec0430e908c7", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\92310\\anaconda3\\envs\\llms\\Lib\\asyncio\\events.py:84: DeprecationError: 2025-01-27: `modal.Cls.lookup` is deprecated and will be removed in a future release. It can be replaced with `modal.Cls.from_name`.\n", - "\n", - "See https://modal.com/docs/guide/modal-1-0-migration for more information.\n", - " self._context.run(self._callback, *self._args)\n" - ] - } - ], + "outputs": [], "source": [ "from agents.ensemble_agent import EnsembleAgent\n", "ensemble = EnsembleAgent(collection)" @@ -1550,49 +465,27 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "id": "1a29f03c-8010-43b7-ae7d-1bc85ca6e8e2", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "158.23674746407366" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ensemble.price(product) #old val" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "13dbf002-eba6-4c7a-898f-d697f68ca28e", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "161.80814036965486" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ensemble.price(product)" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "id": "e6a5e226-a508-43d5-aa42-cefbde72ffdf", "metadata": {}, "outputs": [], @@ -1603,556 +496,22 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "id": "8397b1ef-2ea3-4af8-bb34-36594e0600cc", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[92m1: Guess: $41.09 Truth: $32.70 Error: $8.39 SLE: 0.05 Item: AXE HEAVEN Stranger Things Eddie's Guita...\u001b[0m\n", - "\u001b[91m2: Guess: $119.92 Truth: $213.94 Error: $94.02 SLE: 0.33 Item: Southbend Range 1175016 Natural Gas Valv...\u001b[0m\n", - "\u001b[92m3: Guess: $66.59 Truth: $79.99 Error: $13.40 SLE: 0.03 Item: SUNY Party Lights DJ Stage Lighting 12 G...\u001b[0m\n", - "\u001b[92m4: Guess: $39.05 Truth: $18.99 Error: $20.06 SLE: 0.48 Item: 113PCS Birthday Party Supplies and Decor...\u001b[0m\n", - "\u001b[92m5: Guess: $51.55 Truth: $44.95 Error: $6.60 SLE: 0.02 Item: Artist Unknown A- B Box, Black (T-LPSMR ...\u001b[0m\n", - "\u001b[92m6: Guess: $82.03 Truth: $84.99 Error: $2.96 SLE: 0.00 Item: PINK Child’s Practice Chanter by R.G.Har...\u001b[0m\n", - "\u001b[93m7: Guess: $400.21 Truth: $592.95 Error: $192.74 SLE: 0.15 Item: PENNZONI 4ft Drum Shield w/Deflectors & ...\u001b[0m\n", - "\u001b[91m8: Guess: $101.05 Truth: $325.01 Error: $223.96 SLE: 1.35 Item: LEGO Bionicle Umarak The Destroyer (7131...\u001b[0m\n", - "\u001b[92m9: Guess: $116.59 Truth: $90.99 Error: $25.60 SLE: 0.06 Item: (Red) - Hape E3153 Toy, Multicolor\u001b[0m\n", - "\u001b[93m10: Guess: $99.74 Truth: $52.39 Error: $47.35 SLE: 0.40 Item: LEGO DUPLO My Town Birthday Party 10832,...\u001b[0m\n", - "\u001b[92m11: Guess: $226.31 Truth: $202.47 Error: $23.84 SLE: 0.01 Item: Aquamarine Fate/Grand Order: Alter Ego/O...\u001b[0m\n", - "\u001b[93m12: Guess: $240.87 Truth: $161.58 Error: $79.29 SLE: 0.16 Item: Mytheos Kakegurui xx: Mary Saotome 1:7 S...\u001b[0m\n", - "\u001b[92m13: Guess: $32.53 Truth: $25.95 Error: $6.58 SLE: 0.05 Item: Rotosond Stainless Steel Roundwound Bass...\u001b[0m\n", - "\u001b[92m14: Guess: $36.37 Truth: $44.05 Error: $7.68 SLE: 0.03 Item: DKKY Upgrade Shock Towers Bracket fit fo...\u001b[0m\n", - "\u001b[92m15: Guess: $83.35 Truth: $69.99 Error: $13.36 SLE: 0.03 Item: Ranch Concert Ukulele 23 inch Profession...\u001b[0m\n", - "\u001b[92m16: Guess: $124.69 Truth: $99.95 Error: $24.74 SLE: 0.05 Item: BOYA Large-Diaphragm Studio Microphone P...\u001b[0m\n", - "\u001b[93m17: Guess: $154.31 Truth: $89.69 Error: $64.62 SLE: 0.29 Item: TOYSLY Off-Road Pickup J40 Land Cruiser ...\u001b[0m\n", - "\u001b[92m18: Guess: $107.86 Truth: $127.99 Error: $20.13 SLE: 0.03 Item: Medicom The Return of Superman: Cyborg S...\u001b[0m\n", - "\u001b[92m19: Guess: $32.66 Truth: $34.94 Error: $2.28 SLE: 0.00 Item: Axe Heaven FS-013 Fender Strat Cream Fin...\u001b[0m\n", - "\u001b[92m20: Guess: $29.92 Truth: $34.99 Error: $5.07 SLE: 0.02 Item: Grover CP68 Leather Handle Side Buckle, ...\u001b[0m\n", - "\u001b[92m21: Guess: $92.53 Truth: $72.99 Error: $19.54 SLE: 0.05 Item: Costzon 3 in 1 Kids Art Easel, Double-Si...\u001b[0m\n", - "\u001b[92m22: Guess: $27.39 Truth: $16.99 Error: $10.40 SLE: 0.21 Item: Hot Wheels id Vehicle The Dark Knight Ba...\u001b[0m\n", - "\u001b[92m23: Guess: $20.85 Truth: $5.46 Error: $15.39 SLE: 1.48 Item: \"The Secret Life Of Pets 2\" Green Party ...\u001b[0m\n", - "\u001b[93m24: Guess: $65.19 Truth: $23.55 Error: $41.64 SLE: 0.98 Item: Mattel Pixar Spotlight Series Woody Figu...\u001b[0m\n", - "\u001b[92m25: Guess: $49.28 Truth: $44.99 Error: $4.29 SLE: 0.01 Item: Strictly Briks Classic Stackable Basepla...\u001b[0m\n", - "\u001b[92m26: Guess: $48.02 Truth: $35.99 Error: $12.03 SLE: 0.08 Item: 4-Pack Replacement for Kenmore/Sears 795...\u001b[0m\n", - "\u001b[93m27: Guess: $106.88 Truth: $168.88 Error: $62.00 SLE: 0.21 Item: Funko POP Television (Vinyl): Breaking B...\u001b[0m\n", - "\u001b[92m28: Guess: $45.74 Truth: $12.99 Error: $32.75 SLE: 1.46 Item: 116 Pcs Dinosaur Themed Party Favors Set...\u001b[0m\n", - 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"\u001b[92m37: Guess: $14.79 Truth: $3.89 Error: $10.90 SLE: 1.37 Item: Monoprice 107193 6.35-mm Stereo Plug to ...\u001b[0m\n", - "\u001b[92m38: Guess: $9.90 Truth: $14.61 Error: $4.71 SLE: 0.13 Item: Q-Parts Mini Dome Knob, EBONY ON BLACK\u001b[0m\n", - "\u001b[92m39: Guess: $280.49 Truth: $279.99 Error: $0.50 SLE: 0.00 Item: Heng Long Modified Edition 1/16 2.4ghz R...\u001b[0m\n", - "\u001b[92m40: Guess: $24.83 Truth: $15.99 Error: $8.84 SLE: 0.18 Item: Levy's Leathers MM8-BRN J.K. 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"\u001b[92m57: Guess: $54.28 Truth: $20.99 Error: $33.29 SLE: 0.85 Item: Supplying Demand 8299642 W10135399 Cloth...\u001b[0m\n", - "\u001b[92m58: Guess: $60.40 Truth: $29.99 Error: $30.41 SLE: 0.47 Item: Electric Guitar Neck, Paddle Head DIY Un...\u001b[0m\n", - "\u001b[92m59: Guess: $157.43 Truth: $129.99 Error: $27.44 SLE: 0.04 Item: MXR M75 Super Badass Distortion Guitar E...\u001b[0m\n", - "\u001b[93m60: Guess: $92.67 Truth: $45.95 Error: $46.72 SLE: 0.48 Item: TCFUNDY DMX 512 Controller, 192 Channel ...\u001b[0m\n", - "\u001b[92m61: Guess: $175.85 Truth: $209.99 Error: $34.14 SLE: 0.03 Item: Vangoa 5 String Banjo Remo Head Closed S...\u001b[0m\n", - "\u001b[92m62: Guess: $146.44 Truth: $119.95 Error: $26.49 SLE: 0.04 Item: The Simpsons Exclusive Playset Moe's Bar...\u001b[0m\n", - "\u001b[93m63: Guess: $257.26 Truth: $179.00 Error: $78.26 SLE: 0.13 Item: Celestion G12-65 Heritage Guitar Speaker...\u001b[0m\n", - "\u001b[92m64: Guess: $13.80 Truth: $17.99 Error: $4.19 SLE: 0.06 Item: Sinnya 6 Pack Filter T HFT600 Filter Com...\u001b[0m\n", - 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World of Prophecy (JOTL-EN02...\u001b[0m\n", - "\u001b[92m89: Guess: $41.44 Truth: $19.49 Error: $21.95 SLE: 0.53 Item: 240356402 Door Bin Shelf - Compatible Wi...\u001b[0m\n", - "\u001b[92m90: Guess: $259.79 Truth: $259.95 Error: $0.16 SLE: 0.00 Item: Odyssey FZPIDDJSXBL Black Label Flight Z...\u001b[0m\n", - "\u001b[93m91: Guess: $457.71 Truth: $601.00 Error: $143.29 SLE: 0.07 Item: Samson Expedition XP312w 12” 300 Watt Ba...\u001b[0m\n", - "\u001b[92m92: Guess: $47.88 Truth: $29.99 Error: $17.89 SLE: 0.21 Item: Fanattik Yu-Gi-Oh Metal Card White Drago...\u001b[0m\n", - "\u001b[92m93: Guess: $11.74 Truth: $2.08 Error: $9.66 SLE: 2.02 Item: Magic The Gathering - Voracious Dragon -...\u001b[0m\n", - "\u001b[93m94: Guess: $80.68 Truth: $36.99 Error: $43.69 SLE: 0.59 Item: Marvel Legends Annihilus Series Build-A-...\u001b[0m\n", - "\u001b[92m95: Guess: $89.98 Truth: $69.99 Error: $19.99 SLE: 0.06 Item: XPIY Tricycle for Toddlers Age 2 to 4 Ye...\u001b[0m\n", - "\u001b[92m96: Guess: $39.77 Truth: $75.00 Error: $35.23 SLE: 0.39 Item: Super Heroes Lego 76133 Spider-Man Car C...\u001b[0m\n", - "\u001b[92m97: Guess: $76.36 Truth: $57.98 Error: $18.38 SLE: 0.07 Item: Batman Dark Knight Movie Master Exclusiv...\u001b[0m\n", - "\u001b[92m98: Guess: $40.14 Truth: $55.89 Error: $15.75 SLE: 0.11 Item: KOKKO Looper Guitar Pedal Effects Mini L...\u001b[0m\n", - "\u001b[92m99: Guess: $68.56 Truth: $58.99 Error: $9.57 SLE: 0.02 Item: Upgraded Microphone Studio Recording Kit...\u001b[0m\n", - "\u001b[92m100: Guess: $53.25 Truth: $56.92 Error: $3.67 SLE: 0.00 Item: Redcat Racing Hexfly 3600 25C 11.1V LiPo...\u001b[0m\n", - "\u001b[92m101: Guess: $64.19 Truth: $33.99 Error: $30.20 SLE: 0.39 Item: CuberSpeed GAN 356 Air Speed Cube GAN 11...\u001b[0m\n", - "\u001b[92m102: Guess: $17.55 Truth: $3.07 Error: $14.48 SLE: 2.30 Item: Yu-Gi-Oh! - Icarus Attack (EOJ-EN055) - ...\u001b[0m\n", - "\u001b[92m103: Guess: $61.69 Truth: $48.64 Error: $13.05 SLE: 0.05 Item: Hohner Green Tones 3750 Beginner Drum Se...\u001b[0m\n", - "\u001b[92m104: Guess: $43.13 Truth: $32.62 Error: $10.51 SLE: 0.07 Item: Musiclily Pro 13-Hole Aluminum Vintage 6...\u001b[0m\n", - "\u001b[91m105: Guess: $233.62 Truth: $149.99 Error: $83.63 SLE: 0.19 Item: PreSonus AudioBox iTwo Studio USB 2.0 Re...\u001b[0m\n", - "\u001b[92m106: Guess: $231.39 Truth: $199.95 Error: $31.44 SLE: 0.02 Item: Rockville MOTIONSTRIP Motorized Moving H...\u001b[0m\n", - "\u001b[93m107: Guess: $70.86 Truth: $22.88 Error: $47.98 SLE: 1.21 Item: Hot Racing TFF125HM01 Aluminum reinforce...\u001b[0m\n", - "\u001b[92m108: Guess: $31.51 Truth: $22.23 Error: $9.28 SLE: 0.11 Item: Disney Cars Toys Movie Die-cast Characte...\u001b[0m\n", - "\u001b[92m109: Guess: $41.83 Truth: $62.99 Error: $21.16 SLE: 0.16 Item: HASMX 2 Pack Replacement Humidifier Filt...\u001b[0m\n", - "\u001b[92m110: Guess: $246.67 Truth: $299.00 Error: $52.33 SLE: 0.04 Item: Frigidaire 5304495520 Oven Control Board...\u001b[0m\n", - "\u001b[92m111: Guess: $7.53 Truth: $1.09 Error: $6.44 SLE: 1.98 Item: Magic: the Gathering - Drake Umbra - Ris...\u001b[0m\n", - "\u001b[92m112: Guess: $154.03 Truth: $118.99 Error: $35.04 SLE: 0.07 Item: Mezco Toyz Living Dead Dolls Series 23 -...\u001b[0m\n", - "\u001b[92m113: Guess: $80.64 Truth: $119.81 Error: $39.17 SLE: 0.15 Item: Hey! Play! Classic Giant Wooden Blocks T...\u001b[0m\n", - "\u001b[92m114: Guess: $34.52 Truth: $21.99 Error: $12.53 SLE: 0.19 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", - "\u001b[92m115: Guess: $42.67 Truth: $21.75 Error: $20.92 SLE: 0.43 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", - "\u001b[92m116: Guess: $38.98 Truth: $41.88 Error: $2.90 SLE: 0.00 Item: Funko Pop! Moment: Inuyasha - Inuyasha V...\u001b[0m\n", - "\u001b[93m117: Guess: $180.15 Truth: $275.00 Error: $94.85 SLE: 0.18 Item: Kotobukiya Dc Comics Batgirl Bishoujo St...\u001b[0m\n", - "\u001b[92m118: Guess: $55.61 Truth: $72.99 Error: $17.38 SLE: 0.07 Item: Ravensburger 540 Celestial Map Gloin- in...\u001b[0m\n", - "\u001b[93m119: Guess: $70.42 Truth: $29.15 Error: $41.27 SLE: 0.74 Item: Steiff USA Handmade Light Brown Lumpi Li...\u001b[0m\n", - "\u001b[92m120: Guess: $101.05 Truth: $98.00 Error: $3.05 SLE: 0.00 Item: Tengen Toppa Gurren Lagann Revoltech #05...\u001b[0m\n", - "\u001b[92m121: Guess: $123.16 Truth: $139.99 Error: $16.83 SLE: 0.02 Item: WWE Elite Collection Road Dogg Action Fi...\u001b[0m\n", - "\u001b[93m122: Guess: $138.91 Truth: $94.95 Error: $43.96 SLE: 0.14 Item: Singing Machine STVG782BK Groove XL Kara...\u001b[0m\n", - "\u001b[92m123: Guess: $55.80 Truth: $41.99 Error: $13.81 SLE: 0.08 Item: Ruibo 88 Key Keyboard Gig Bag Case for E...\u001b[0m\n", - "\u001b[92m124: Guess: $54.98 Truth: $19.99 Error: $34.99 SLE: 0.96 Item: STAR WARS The Vintage Collection Snaggle...\u001b[0m\n", - "\u001b[92m125: Guess: $161.95 Truth: $197.99 Error: $36.04 SLE: 0.04 Item: Truetone V3 Jekyll & Hyde Overdrive & Di...\u001b[0m\n", - "\u001b[92m126: Guess: $33.18 Truth: $12.76 Error: $20.42 SLE: 0.83 Item: 13 Inch Authentic Indian Wooden Bamboo F...\u001b[0m\n", - "\u001b[92m127: Guess: $204.04 Truth: $179.95 Error: $24.09 SLE: 0.02 Item: 48 Pack of (12 x 12 x 2)Inch Acoustical ...\u001b[0m\n", - "\u001b[92m128: Guess: $38.97 Truth: $16.99 Error: $21.98 SLE: 0.64 Item: Writing Tablet 10 Inch Drawing Pad, Colo...\u001b[0m\n", - "\u001b[92m129: Guess: $493.01 Truth: $529.20 Error: $36.19 SLE: 0.00 Item: TAMIYA 1/14 King Hauler 10X8WD Semi Trac...\u001b[0m\n", - "\u001b[92m130: Guess: $38.14 Truth: $39.59 Error: $1.45 SLE: 0.00 Item: DIAMOND SELECT TOYS John Wick 3 Casual S...\u001b[0m\n", - "\u001b[92m131: Guess: $187.32 Truth: $174.42 Error: $12.90 SLE: 0.01 Item: Bandai Tamashii Nations The Dark Knight ...\u001b[0m\n", - "\u001b[92m132: Guess: $37.63 Truth: $17.99 Error: $19.64 SLE: 0.50 Item: Jiayouy 15Pcs 4/4-3/4 Size Violin Fiddle...\u001b[0m\n", - "\u001b[92m133: Guess: $180.69 Truth: $149.00 Error: $31.69 SLE: 0.04 Item: Mould King 13082 Pickup Truck Block Kits...\u001b[0m\n", - "\u001b[92m134: Guess: $45.14 Truth: $49.99 Error: $4.85 SLE: 0.01 Item: UGEARS 3D Puzzle for Board Games - Woode...\u001b[0m\n", - "\u001b[92m135: Guess: $310.89 Truth: $359.99 Error: $49.10 SLE: 0.02 Item: HONEY JOY Inflatable Water Slide, 6 in 1...\u001b[0m\n", - "\u001b[92m136: Guess: $29.21 Truth: $24.99 Error: $4.22 SLE: 0.02 Item: ABY Selecor Combiner Switch AB Box New P...\u001b[0m\n", - "\u001b[92m137: Guess: $52.54 Truth: $27.99 Error: $24.55 SLE: 0.38 Item: 12 Small Gun Set for Nerf Party Supplies...\u001b[0m\n", - "\u001b[93m138: Guess: $194.88 Truth: $247.00 Error: $52.12 SLE: 0.06 Item: Seymour Duncan - 11201-03-Cset - SSL-2 V...\u001b[0m\n", - "\u001b[93m139: Guess: $73.26 Truth: $121.15 Error: $47.89 SLE: 0.25 Item: Odyssey Scrim Werks SWLTPSBLK 360 degree...\u001b[0m\n", - "\u001b[92m140: Guess: $32.02 Truth: $43.37 Error: $11.35 SLE: 0.09 Item: Natural Goatskin, 22\", Medium\u001b[0m\n", - "\u001b[93m141: Guess: $129.96 Truth: $169.99 Error: $40.03 SLE: 0.07 Item: CKYSCHN Remote Control Helicopter, WLtoy...\u001b[0m\n", - "\u001b[92m142: Guess: $598.42 Truth: $549.99 Error: $48.43 SLE: 0.01 Item: Goldtone M Bass Microbass Fretless Short...\u001b[0m\n", - "\u001b[92m143: Guess: $27.36 Truth: $19.95 Error: $7.41 SLE: 0.09 Item: Remo Diplomat Coated Drumhead, 13\"\u001b[0m\n", - "\u001b[92m144: Guess: $22.62 Truth: $18.98 Error: $3.64 SLE: 0.03 Item: MOMOFULL High Chair Decorations for 1st ...\u001b[0m\n", - "\u001b[92m145: Guess: $18.15 Truth: $11.99 Error: $6.16 SLE: 0.15 Item: Nature Bound Butterfly Net Bug Catcher f...\u001b[0m\n", - "\u001b[92m146: Guess: $72.06 Truth: $56.40 Error: $15.66 SLE: 0.06 Item: Swing Set Stuff Inc. Commercial Rubber B...\u001b[0m\n", - "\u001b[93m147: Guess: $130.93 Truth: $179.99 Error: $49.06 SLE: 0.10 Item: Other, 4-String Electric/Acoustic Cutawa...\u001b[0m\n", - "\u001b[92m148: Guess: $167.87 Truth: $199.95 Error: $32.08 SLE: 0.03 Item: Classic Heartwood Bugarabu Drum 9\"x24\" -...\u001b[0m\n", - "\u001b[92m149: Guess: $47.89 Truth: $34.99 Error: $12.90 SLE: 0.09 Item: Toddler Meerkat Costume\u001b[0m\n", - "\u001b[92m150: Guess: $62.81 Truth: $74.95 Error: $12.14 SLE: 0.03 Item: CampCo Sniper Rifle Gun Building Blocks ...\u001b[0m\n", - "\u001b[92m151: Guess: $51.07 Truth: $19.99 Error: $31.08 SLE: 0.83 Item: YOCOM Wireless Lavalier Lapel Microphone...\u001b[0m\n", - "\u001b[91m152: Guess: $282.20 Truth: $199.99 Error: $82.21 SLE: 0.12 Item: Costzon Inflatable Bounce House, Kids Bo...\u001b[0m\n", - "\u001b[91m153: Guess: $296.93 Truth: $99.99 Error: $196.94 SLE: 1.17 Item: Vertex Steel String Clean Drive MKII\u001b[0m\n", - "\u001b[92m154: Guess: $35.84 Truth: $28.47 Error: $7.37 SLE: 0.05 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", - "\u001b[92m155: Guess: $116.39 Truth: $78.89 Error: $37.50 SLE: 0.15 Item: LEGO Castle Gold Getaway\u001b[0m\n", - "\u001b[92m156: Guess: $141.95 Truth: $146.00 Error: $4.05 SLE: 0.00 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", - "\u001b[92m157: Guess: $61.30 Truth: $71.98 Error: $10.68 SLE: 0.03 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", - "\u001b[92m158: Guess: $22.25 Truth: $12.29 Error: $9.96 SLE: 0.31 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", - "\u001b[92m159: Guess: $76.01 Truth: $38.99 Error: $37.02 SLE: 0.43 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", - "\u001b[92m160: Guess: $44.07 Truth: $16.97 Error: $27.10 SLE: 0.85 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", - "\u001b[92m161: Guess: $260.33 Truth: $302.49 Error: $42.16 SLE: 0.02 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", - "\u001b[92m162: Guess: $38.60 Truth: $24.95 Error: $13.65 SLE: 0.18 Item: Do A Dot Art Fruit Scented Washable Dot ...\u001b[0m\n", - "\u001b[93m163: Guess: $31.03 Truth: $79.73 Error: $48.70 SLE: 0.85 Item: Mattel Games FTB29 Phase 10 Strategy Boa...\u001b[0m\n", - "\u001b[92m164: Guess: $18.62 Truth: $3.96 Error: $14.66 SLE: 1.89 Item: American Art Classics Paul McCartney Mil...\u001b[0m\n", - "\u001b[93m165: Guess: $28.44 Truth: $99.99 Error: $71.55 SLE: 1.52 Item: Replogle Reso REP-S14 Traditional Resona...\u001b[0m\n", - "\u001b[92m166: Guess: $14.73 Truth: $32.50 Error: $17.77 SLE: 0.57 Item: Technica Brand Compatible Waste Toner Co...\u001b[0m\n", - "\u001b[92m167: Guess: $50.91 Truth: $54.99 Error: $4.08 SLE: 0.01 Item: RCMYou RC Stainless Steel Drive Shaft CV...\u001b[0m\n", - "\u001b[92m168: Guess: $8.28 Truth: $6.22 Error: $2.06 SLE: 0.06 Item: BQLZR Guitar Potentiometer B500K Push/Pu...\u001b[0m\n", - "\u001b[92m169: Guess: $64.41 Truth: $49.55 Error: $14.86 SLE: 0.07 Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", - "\u001b[92m170: Guess: $19.32 Truth: $8.99 Error: $10.33 SLE: 0.50 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", - "\u001b[92m171: Guess: $105.89 Truth: $92.16 Error: $13.73 SLE: 0.02 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", - "\u001b[93m172: Guess: $83.19 Truth: $139.99 Error: $56.80 SLE: 0.27 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", - "\u001b[92m173: Guess: $63.86 Truth: $77.98 Error: $14.12 SLE: 0.04 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", - "\u001b[92m174: Guess: $131.78 Truth: $119.95 Error: $11.83 SLE: 0.01 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", - "\u001b[93m175: Guess: $301.10 Truth: $379.95 Error: $78.85 SLE: 0.05 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", - "\u001b[92m176: Guess: $71.12 Truth: $64.99 Error: $6.13 SLE: 0.01 Item: Merchants & Marauders\u001b[0m\n", - "\u001b[91m177: Guess: $194.50 Truth: $99.00 Error: $95.50 SLE: 0.45 Item: Ryze Tech Tello - Mini Drone Quadcopter ...\u001b[0m\n", - "\u001b[92m178: Guess: $36.69 Truth: $37.50 Error: $0.81 SLE: 0.00 Item: Jigsaw Puzzles Switzerland Lion Lucerne ...\u001b[0m\n", - "\u001b[92m179: Guess: $129.32 Truth: $99.95 Error: $29.37 SLE: 0.07 Item: Avedis Zildjian Company ZILDJIAN S8S 8-I...\u001b[0m\n", - "\u001b[92m180: Guess: $42.77 Truth: $25.59 Error: $17.18 SLE: 0.25 Item: Sueseip Kids Smart Watches Girls with 24...\u001b[0m\n", - "\u001b[92m181: Guess: $120.95 Truth: $159.00 Error: $38.05 SLE: 0.07 Item: EMG ACS Acoustic Guitar Soundhole Pickup...\u001b[0m\n", - "\u001b[93m182: Guess: $111.58 Truth: $165.10 Error: $53.52 SLE: 0.15 Item: Hipshot Tone-a-Matic Tuneomatic Bridge T...\u001b[0m\n", - "\u001b[92m183: Guess: $60.68 Truth: $51.09 Error: $9.59 SLE: 0.03 Item: Sunny toys 28\" Angel Full Body Puppet\u001b[0m\n", - "\u001b[92m184: Guess: $321.23 Truth: $291.99 Error: $29.24 SLE: 0.01 Item: Btuty Eb E-flat Alto Saxophone Professio...\u001b[0m\n", - "\u001b[92m185: Guess: $37.48 Truth: $13.99 Error: $23.49 SLE: 0.89 Item: Luluo Santa Claus Christmas Kids Santa S...\u001b[0m\n", - "\u001b[93m186: Guess: $73.31 Truth: $139.95 Error: $66.64 SLE: 0.41 Item: OEM Samsung Dryer Lint Filter Screen Tra...\u001b[0m\n", - "\u001b[92m187: Guess: $22.40 Truth: $9.99 Error: $12.41 SLE: 0.57 Item: Funnlot Hanukkah Games Chanukah Game Han...\u001b[0m\n", - "\u001b[92m188: Guess: $37.30 Truth: $9.99 Error: $27.31 SLE: 1.56 Item: Coola Christmas Crafts Kit for Kids - To...\u001b[0m\n", - "\u001b[92m189: Guess: $606.10 Truth: $699.99 Error: $93.89 SLE: 0.02 Item: Ibanez AG95QA AG Artcore Expressionist 6...\u001b[0m\n", - "\u001b[92m190: Guess: $136.17 Truth: $139.41 Error: $3.24 SLE: 0.00 Item: DW Hobby 3D Flying Airplane YAK55 800mm ...\u001b[0m\n", - "\u001b[92m191: Guess: $131.41 Truth: $132.95 Error: $1.54 SLE: 0.00 Item: STEAMFORGED Godtear Eternal Glade Starte...\u001b[0m\n", - "\u001b[92m192: Guess: $20.22 Truth: $8.90 Error: $11.32 SLE: 0.58 Item: Interal Shop Guitar and Bass String Mute...\u001b[0m\n", - "\u001b[92m193: Guess: $63.37 Truth: $69.41 Error: $6.04 SLE: 0.01 Item: Electrolux 316443601 Door Handle\u001b[0m\n", - "\u001b[92m194: Guess: $49.89 Truth: $49.95 Error: $0.06 SLE: 0.00 Item: Maisto R/C 27Mhz (3-Channel) Rock Crawle...\u001b[0m\n", - "\u001b[92m195: Guess: $23.19 Truth: $20.99 Error: $2.20 SLE: 0.01 Item: Odowalker Pack of 4 Dishwasher Premium W...\u001b[0m\n", - "\u001b[93m196: Guess: $223.89 Truth: $314.95 Error: $91.06 SLE: 0.12 Item: Pokemon TCG: XY Evolutions Elite Trainer...\u001b[0m\n", - "\u001b[93m197: Guess: $79.94 Truth: $27.99 Error: $51.95 SLE: 1.05 Item: Transformer Toy Deformation Robot Toy St...\u001b[0m\n", - "\u001b[92m198: Guess: $65.24 Truth: $54.99 Error: $10.25 SLE: 0.03 Item: PlanToys Van Walker, Yellow\u001b[0m\n", - "\u001b[92m199: Guess: $29.95 Truth: $27.99 Error: $1.96 SLE: 0.00 Item: Living Nature Brown Bear, Realistic Medi...\u001b[0m\n", - "\u001b[92m200: Guess: $19.81 Truth: $16.99 Error: $2.82 SLE: 0.02 Item: Silence Razer Mini Shock Mount with Foam...\u001b[0m\n", - "\u001b[92m201: Guess: $152.04 Truth: $119.95 Error: $32.09 SLE: 0.06 Item: LEGO NINJAGO Fire Stone Mech 71720 Build...\u001b[0m\n", - "\u001b[92m202: Guess: $108.48 Truth: $110.67 Error: $2.19 SLE: 0.00 Item: Saint Seiya Myth Cloth Sea Dragon Kanon ...\u001b[0m\n", - "\u001b[92m203: Guess: $47.42 Truth: $57.99 Error: $10.57 SLE: 0.04 Item: Funko POP Games: Fallout 4 Liberty Prime...\u001b[0m\n", - "\u001b[93m204: Guess: $217.23 Truth: $169.00 Error: $48.23 SLE: 0.06 Item: Kala KA-CE Satin Mahogany Concert Electr...\u001b[0m\n", - "\u001b[92m205: Guess: $91.32 Truth: $108.15 Error: $16.83 SLE: 0.03 Item: Bandaï Saint Seiya Saint Cloth Myth Appe...\u001b[0m\n", - "\u001b[92m206: Guess: $41.29 Truth: $30.99 Error: $10.30 SLE: 0.08 Item: LESHITIAN Kids Laptop, 65 Learning Activ...\u001b[0m\n", - "\u001b[93m207: Guess: $260.21 Truth: $399.99 Error: $139.78 SLE: 0.18 Item: Causeair Big Inflatable Bounce House wit...\u001b[0m\n", - "\u001b[93m208: Guess: $62.12 Truth: $128.89 Error: $66.77 SLE: 0.52 Item: MAYS 3D Metal Puzzle Kit - Moving Mechan...\u001b[0m\n", - "\u001b[92m209: Guess: $183.81 Truth: $219.95 Error: $36.14 SLE: 0.03 Item: DisplayGifts Electric Guitar Display Cas...\u001b[0m\n", - "\u001b[92m210: Guess: $36.39 Truth: $42.98 Error: $6.59 SLE: 0.03 Item: QT RC Airplane, 2 Channel RC Plane, 2.4G...\u001b[0m\n", - "\u001b[92m211: Guess: $62.95 Truth: $37.76 Error: $25.19 SLE: 0.25 Item: Traxxas 5374X BRUSHLESS E-REVO Wheel/TI\u001b[0m\n", - "\u001b[92m212: Guess: $117.29 Truth: $98.99 Error: $18.30 SLE: 0.03 Item: Kotobukiya ARTFX+ Star Wars Stormtrooper...\u001b[0m\n", - "\u001b[92m213: Guess: $213.49 Truth: $189.95 Error: $23.54 SLE: 0.01 Item: Aosom 12V Ride On Toy Car for Kids with ...\u001b[0m\n", - "\u001b[92m214: Guess: $16.50 Truth: $5.48 Error: $11.02 SLE: 0.99 Item: Violin Bow Clip Kit Strings Bow Fixed Gr...\u001b[0m\n", - "\u001b[92m215: Guess: $58.64 Truth: $75.00 Error: $16.36 SLE: 0.06 Item: Funko POP Movies: Boondock Saints Connor...\u001b[0m\n", - "\u001b[92m216: Guess: $60.02 Truth: $34.99 Error: $25.03 SLE: 0.28 Item: Seasons Viking Princess Costume, Medium ...\u001b[0m\n", - "\u001b[92m217: Guess: $19.51 Truth: $16.99 Error: $2.52 SLE: 0.02 Item: Ernie Ball 2566 Aluminum Bronze Medium-L...\u001b[0m\n", - "\u001b[92m218: Guess: $31.12 Truth: $19.99 Error: $11.13 SLE: 0.18 Item: Egg Holder for Refrigerator Automatic Ro...\u001b[0m\n", - "\u001b[93m219: Guess: $196.25 Truth: $129.99 Error: $66.26 SLE: 0.17 Item: Zoom MS-50G MultiStomp Guitar Effects Pe...\u001b[0m\n", - "\u001b[91m220: Guess: $83.95 Truth: $254.35 Error: $170.40 SLE: 1.21 Item: SOUTHBEND RANGE 4440461 Hi Limit Retrofi...\u001b[0m\n", - "\u001b[92m221: Guess: $43.07 Truth: $37.99 Error: $5.08 SLE: 0.02 Item: 12 pack Acoustic Panels Self-Adhesive, 1...\u001b[0m\n", - "\u001b[93m222: Guess: $136.66 Truth: $219.99 Error: $83.33 SLE: 0.22 Item: Nektar Pacer - USB MIDI Footswitch Contr...\u001b[0m\n", - "\u001b[92m223: Guess: $63.63 Truth: $79.98 Error: $16.35 SLE: 0.05 Item: Steel Tongue Drum, Handpan Tank Drum 11 ...\u001b[0m\n", - "\u001b[92m224: Guess: $36.79 Truth: $51.95 Error: $15.16 SLE: 0.11 Item: Protect'em Covers Padded Dust Cover with...\u001b[0m\n", - "\u001b[93m225: Guess: $145.17 Truth: $94.66 Error: $50.51 SLE: 0.18 Item: Beast Kingdom The Dark Knight Returns: B...\u001b[0m\n", - "\u001b[92m226: Guess: $29.14 Truth: $16.99 Error: $12.15 SLE: 0.27 Item: Ant Mag Guitar Hanger Wall Mount Hooks S...\u001b[0m\n", - "\u001b[92m227: Guess: $40.36 Truth: $48.95 Error: $8.59 SLE: 0.04 Item: Diamond Select Toys Marvel Select: Gambi...\u001b[0m\n", - "\u001b[92m228: Guess: $57.25 Truth: $62.99 Error: $5.74 SLE: 0.01 Item: Shopkins Food Themed Pack Cupcake Collec...\u001b[0m\n", - "\u001b[92m229: Guess: $36.67 Truth: $24.95 Error: $11.72 SLE: 0.14 Item: Wettarn 10 Set Graduation Party Balloon ...\u001b[0m\n", - "\u001b[92m230: Guess: $70.92 Truth: $63.98 Error: $6.94 SLE: 0.01 Item: Spider-Man Marvel The Amazing Spider-Man...\u001b[0m\n", - "\u001b[93m231: Guess: $27.81 Truth: $84.95 Error: $57.14 SLE: 1.19 Item: Hot Wheels Team Hot Wheels Total Control...\u001b[0m\n", - "\u001b[92m232: Guess: $50.76 Truth: $39.99 Error: $10.77 SLE: 0.05 Item: DNYSYSJ Mini Portable Washing Machine, P...\u001b[0m\n", - "\u001b[92m233: Guess: $39.94 Truth: $42.99 Error: $3.05 SLE: 0.01 Item: Disco Mirror Ball Silver Hanging Balls f...\u001b[0m\n", - "\u001b[92m234: Guess: $8.17 Truth: $6.00 Error: $2.17 SLE: 0.07 Item: Djeco Stickers, Knights\u001b[0m\n", - "\u001b[92m235: Guess: $34.96 Truth: $28.89 Error: $6.07 SLE: 0.03 Item: PK Power AC/DC Adapter for Kurzweil Arti...\u001b[0m\n", - "\u001b[92m236: Guess: $28.20 Truth: $19.99 Error: $8.21 SLE: 0.11 Item: Supplying Demand WE04X20685 WE4M336 Clot...\u001b[0m\n", - "\u001b[92m237: Guess: $38.10 Truth: $75.00 Error: $36.90 SLE: 0.44 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", - "\u001b[92m238: Guess: $70.22 Truth: $79.99 Error: $9.77 SLE: 0.02 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", - "\u001b[92m239: Guess: $33.01 Truth: $11.95 Error: $21.06 SLE: 0.93 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", - "\u001b[92m240: Guess: $67.19 Truth: $46.39 Error: $20.80 SLE: 0.13 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", - "\u001b[92m241: Guess: $40.36 Truth: $28.99 Error: $11.37 SLE: 0.10 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", - "\u001b[92m242: Guess: $26.38 Truth: $35.96 Error: $9.58 SLE: 0.09 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", - "\u001b[92m243: Guess: $54.50 Truth: $56.40 Error: $1.90 SLE: 0.00 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", - "\u001b[91m244: Guess: $246.59 Truth: $99.00 Error: $147.59 SLE: 0.82 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", - "\u001b[92m245: Guess: $108.53 Truth: $82.88 Error: $25.65 SLE: 0.07 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", - "\u001b[92m246: Guess: $61.43 Truth: $84.88 Error: $23.45 SLE: 0.10 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", - "\u001b[92m247: Guess: $58.27 Truth: $53.00 Error: $5.27 SLE: 0.01 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", - "\u001b[92m248: Guess: $17.79 Truth: $12.13 Error: $5.66 SLE: 0.13 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", - "\u001b[92m249: Guess: $119.90 Truth: $114.99 Error: $4.91 SLE: 0.00 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", - "\u001b[92m250: Guess: $69.12 Truth: $51.29 Error: $17.83 SLE: 0.09 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "Tester.test(ensemble_pricer, test) #old " ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "id": "0d26c9ff-994b-4799-af51-09d00ddc0c06", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[92m1: Guess: $22.95 Truth: $32.70 Error: $9.75 SLE: 0.12 Item: AXE HEAVEN Stranger Things Eddie's Guita...\u001b[0m\n", - "\u001b[91m2: Guess: $116.05 Truth: $213.94 Error: $97.89 SLE: 0.37 Item: Southbend Range 1175016 Natural Gas Valv...\u001b[0m\n", - "\u001b[92m3: Guess: $73.23 Truth: $79.99 Error: $6.76 SLE: 0.01 Item: SUNY Party Lights DJ Stage Lighting 12 G...\u001b[0m\n", - "\u001b[92m4: Guess: $42.82 Truth: $18.99 Error: $23.83 SLE: 0.62 Item: 113PCS Birthday Party Supplies and Decor...\u001b[0m\n", - "\u001b[92m5: Guess: $49.75 Truth: $44.95 Error: $4.80 SLE: 0.01 Item: Artist Unknown A- B Box, Black (T-LPSMR ...\u001b[0m\n", - "\u001b[92m6: Guess: $86.15 Truth: $84.99 Error: $1.16 SLE: 0.00 Item: PINK Child’s Practice Chanter by R.G.Har...\u001b[0m\n", - "\u001b[93m7: Guess: $396.52 Truth: $592.95 Error: $196.43 SLE: 0.16 Item: PENNZONI 4ft Drum Shield w/Deflectors & ...\u001b[0m\n", - "\u001b[91m8: Guess: $98.95 Truth: $325.01 Error: $226.06 SLE: 1.40 Item: LEGO Bionicle Umarak The Destroyer (7131...\u001b[0m\n", - "\u001b[92m9: Guess: $114.12 Truth: $90.99 Error: $23.13 SLE: 0.05 Item: (Red) - Hape E3153 Toy, Multicolor\u001b[0m\n", - "\u001b[93m10: Guess: $100.00 Truth: $52.39 Error: $47.61 SLE: 0.41 Item: LEGO DUPLO My Town Birthday Party 10832,...\u001b[0m\n", - "\u001b[92m11: Guess: $230.26 Truth: $202.47 Error: $27.79 SLE: 0.02 Item: Aquamarine Fate/Grand Order: Alter Ego/O...\u001b[0m\n", - "\u001b[93m12: Guess: $234.08 Truth: $161.58 Error: $72.50 SLE: 0.14 Item: Mytheos Kakegurui xx: Mary Saotome 1:7 S...\u001b[0m\n", - "\u001b[92m13: Guess: $27.85 Truth: $25.95 Error: $1.90 SLE: 0.00 Item: Rotosond Stainless Steel Roundwound Bass...\u001b[0m\n", - "\u001b[92m14: Guess: $39.92 Truth: $44.05 Error: $4.13 SLE: 0.01 Item: DKKY Upgrade Shock Towers Bracket fit fo...\u001b[0m\n", - "\u001b[92m15: Guess: $78.22 Truth: $69.99 Error: $8.23 SLE: 0.01 Item: Ranch Concert Ukulele 23 inch Profession...\u001b[0m\n", - "\u001b[92m16: Guess: $131.47 Truth: $99.95 Error: $31.52 SLE: 0.07 Item: BOYA Large-Diaphragm Studio Microphone P...\u001b[0m\n", - "\u001b[93m17: Guess: $159.30 Truth: $89.69 Error: $69.61 SLE: 0.32 Item: TOYSLY Off-Road Pickup J40 Land Cruiser ...\u001b[0m\n", - "\u001b[92m18: Guess: $109.09 Truth: $127.99 Error: $18.90 SLE: 0.03 Item: Medicom The Return of Superman: Cyborg S...\u001b[0m\n", - "\u001b[92m19: Guess: $26.83 Truth: $34.94 Error: $8.11 SLE: 0.07 Item: Axe Heaven FS-013 Fender Strat Cream Fin...\u001b[0m\n", - "\u001b[92m20: Guess: $29.99 Truth: $34.99 Error: $5.00 SLE: 0.02 Item: Grover CP68 Leather Handle Side Buckle, ...\u001b[0m\n", - "\u001b[92m21: Guess: $98.27 Truth: $72.99 Error: $25.28 SLE: 0.09 Item: Costzon 3 in 1 Kids Art Easel, Double-Si...\u001b[0m\n", - "\u001b[92m22: Guess: $24.36 Truth: $16.99 Error: $7.37 SLE: 0.12 Item: Hot Wheels id Vehicle The Dark Knight Ba...\u001b[0m\n", - "\u001b[92m23: Guess: $22.19 Truth: $5.46 Error: $16.73 SLE: 1.63 Item: \"The Secret Life Of Pets 2\" Green Party ...\u001b[0m\n", - "\u001b[93m24: Guess: $71.60 Truth: $23.55 Error: $48.05 SLE: 1.18 Item: Mattel Pixar Spotlight Series Woody Figu...\u001b[0m\n", - "\u001b[92m25: Guess: $40.62 Truth: $44.99 Error: $4.37 SLE: 0.01 Item: Strictly Briks Classic Stackable Basepla...\u001b[0m\n", - "\u001b[92m26: Guess: $46.15 Truth: $35.99 Error: $10.16 SLE: 0.06 Item: 4-Pack Replacement for Kenmore/Sears 795...\u001b[0m\n", - "\u001b[93m27: Guess: $108.44 Truth: $168.88 Error: $60.44 SLE: 0.19 Item: Funko POP Television (Vinyl): Breaking B...\u001b[0m\n", - "\u001b[92m28: Guess: $38.97 Truth: $12.99 Error: $25.98 SLE: 1.10 Item: 116 Pcs Dinosaur Themed Party Favors Set...\u001b[0m\n", - "\u001b[92m29: Guess: $33.61 Truth: $31.99 Error: $1.62 SLE: 0.00 Item: Barbie Made to Move Exercise, Yoga Doll\u001b[0m\n", - "\u001b[93m30: Guess: $131.25 Truth: $72.99 Error: $58.26 SLE: 0.34 Item: 1995 DC vs Marvel Base Set of 100 Cards,...\u001b[0m\n", - "\u001b[92m31: Guess: $44.31 Truth: $16.99 Error: $27.32 SLE: 0.85 Item: Clementoni \"Romantic Italy - Venice\" Puz...\u001b[0m\n", - "\u001b[91m32: Guess: $116.05 Truth: $18.41 Error: $97.64 SLE: 3.23 Item: Large Size Fast Sling Puck Game Board Fo...\u001b[0m\n", - "\u001b[93m33: Guess: $69.98 Truth: $110.99 Error: $41.01 SLE: 0.21 Item: Remo Tucked Nuskyn Conga Drumhead, 11.75...\u001b[0m\n", - "\u001b[93m34: Guess: $677.08 Truth: $539.99 Error: $137.09 SLE: 0.05 Item: Yamaha FGX830C Solid Top Cutaway Acousti...\u001b[0m\n", - "\u001b[92m35: Guess: $59.68 Truth: $41.30 Error: $18.38 SLE: 0.13 Item: Malifaux Third Edition Arcanists Colette...\u001b[0m\n", - "\u001b[91m36: Guess: $325.93 Truth: $229.95 Error: $95.98 SLE: 0.12 Item: Rockville RAM12BT 12\" Rechargable Powere...\u001b[0m\n", - "\u001b[92m37: Guess: $26.27 Truth: $3.89 Error: $22.38 SLE: 2.95 Item: Monoprice 107193 6.35-mm Stereo Plug to ...\u001b[0m\n", - "\u001b[92m38: Guess: $0.00 Truth: $14.61 Error: $14.61 SLE: 7.55 Item: Q-Parts Mini Dome Knob, EBONY ON BLACK\u001b[0m\n", - "\u001b[92m39: Guess: $279.03 Truth: $279.99 Error: $0.96 SLE: 0.00 Item: Heng Long Modified Edition 1/16 2.4ghz R...\u001b[0m\n", - "\u001b[92m40: Guess: $30.16 Truth: $15.99 Error: $14.17 SLE: 0.37 Item: Levy's Leathers MM8-BRN J.K. Gully Hook,...\u001b[0m\n", - "\u001b[92m41: Guess: $23.02 Truth: $9.99 Error: $13.03 SLE: 0.61 Item: CHIAOGOO Nylon Cable, Large, Multicolour\u001b[0m\n", - "\u001b[93m42: Guess: $220.65 Truth: $339.99 Error: $119.34 SLE: 0.19 Item: Bunnel Pupil Student Violin Outfit 1/2 S...\u001b[0m\n", - "\u001b[92m43: Guess: $49.07 Truth: $38.99 Error: $10.08 SLE: 0.05 Item: UGEARS Mechanical Wooden 3D Puzzle Model...\u001b[0m\n", - "\u001b[92m44: Guess: $59.02 Truth: $43.99 Error: $15.03 SLE: 0.08 Item: Puzzled Bundle of Dragons Asian Theme: L...\u001b[0m\n", - "\u001b[92m45: Guess: $20.69 Truth: $8.94 Error: $11.75 SLE: 0.61 Item: Barbie Chelsea Doll (6-inch Brunette) We...\u001b[0m\n", - "\u001b[92m46: Guess: $45.53 Truth: $46.30 Error: $0.77 SLE: 0.00 Item: amscan Miranda Rights\u001b[0m\n", - "\u001b[92m47: Guess: $22.58 Truth: $1.99 Error: $20.59 SLE: 4.26 Item: RetroArcade.us Jamma Standard and Plus C...\u001b[0m\n", - "\u001b[92m48: Guess: $35.25 Truth: $16.99 Error: $18.26 SLE: 0.49 Item: Seismic Audio SAGCRBK-20 Black 20-Feet W...\u001b[0m\n", - "\u001b[92m49: Guess: $218.81 Truth: $269.99 Error: $51.18 SLE: 0.04 Item: 1000pcs 14g Monte Carlo Poker Club Poker...\u001b[0m\n", - "\u001b[92m50: Guess: $24.67 Truth: $39.97 Error: $15.30 SLE: 0.22 Item: Cardfight Vanguard G Start Deck Odyssey ...\u001b[0m\n", - "\u001b[92m51: Guess: $35.12 Truth: $17.99 Error: $17.13 SLE: 0.41 Item: GOVOY Color Dough Dentist Doctor Drill a...\u001b[0m\n", - "\u001b[92m52: Guess: $47.99 Truth: $19.00 Error: $28.99 SLE: 0.80 Item: Wegrower Hand Chimes, Metal Chord Wind C...\u001b[0m\n", - "\u001b[92m53: Guess: $238.80 Truth: $199.00 Error: $39.80 SLE: 0.03 Item: 2.4GHz Wireless Lavalier Microphone Syst...\u001b[0m\n", - "\u001b[92m54: Guess: $60.86 Truth: $52.99 Error: $7.87 SLE: 0.02 Item: GLOBACT Steel 50T Center Diff Set Differ...\u001b[0m\n", - "\u001b[92m55: Guess: $74.80 Truth: $55.68 Error: $19.12 SLE: 0.08 Item: GENUINE Frigidaire 316442401 Range/Stove...\u001b[0m\n", - "\u001b[92m56: Guess: $48.41 Truth: $49.99 Error: $1.58 SLE: 0.00 Item: Jeereal Full Grain Genuine Padded Leathe...\u001b[0m\n", - "\u001b[92m57: Guess: $53.97 Truth: $20.99 Error: $32.98 SLE: 0.84 Item: Supplying Demand 8299642 W10135399 Cloth...\u001b[0m\n", - "\u001b[92m58: Guess: $53.23 Truth: $29.99 Error: $23.24 SLE: 0.31 Item: Electric Guitar Neck, Paddle Head DIY Un...\u001b[0m\n", - "\u001b[92m59: Guess: $159.95 Truth: $129.99 Error: $29.96 SLE: 0.04 Item: MXR M75 Super Badass Distortion Guitar E...\u001b[0m\n", - "\u001b[92m60: Guess: $83.77 Truth: $45.95 Error: $37.82 SLE: 0.35 Item: TCFUNDY DMX 512 Controller, 192 Channel ...\u001b[0m\n", - "\u001b[92m61: Guess: $170.31 Truth: $209.99 Error: $39.68 SLE: 0.04 Item: Vangoa 5 String Banjo Remo Head Closed S...\u001b[0m\n", - "\u001b[92m62: Guess: $155.14 Truth: $119.95 Error: $35.19 SLE: 0.07 Item: The Simpsons Exclusive Playset Moe's Bar...\u001b[0m\n", - "\u001b[91m63: Guess: $265.95 Truth: $179.00 Error: $86.95 SLE: 0.16 Item: Celestion G12-65 Heritage Guitar Speaker...\u001b[0m\n", - "\u001b[92m64: Guess: $19.05 Truth: $17.99 Error: $1.06 SLE: 0.00 Item: Sinnya 6 Pack Filter T HFT600 Filter Com...\u001b[0m\n", - "\u001b[92m65: Guess: $22.14 Truth: $22.95 Error: $0.81 SLE: 0.00 Item: PANYARD Steel Drum (JUMBIE JAM)\u001b[0m\n", - "\u001b[92m66: Guess: $78.55 Truth: $89.00 Error: $10.45 SLE: 0.02 Item: Zwide Professional Wireless Lavalier Mic...\u001b[0m\n", - "\u001b[92m67: Guess: $71.80 Truth: $82.90 Error: $11.10 SLE: 0.02 Item: Good Smile Re: Zero - Starting Life in A...\u001b[0m\n", - "\u001b[92m68: Guess: $219.40 Truth: $219.99 Error: $0.59 SLE: 0.00 Item: Latin Percussion LP981 LP Timbale Stand,...\u001b[0m\n", - "\u001b[92m69: Guess: $47.32 Truth: $43.59 Error: $3.73 SLE: 0.01 Item: Replacement Water filter for Maytag UKF-...\u001b[0m\n", - "\u001b[92m70: Guess: $22.43 Truth: $19.95 Error: $2.48 SLE: 0.01 Item: Monster Trombone Care and Cleaning Kit |...\u001b[0m\n", - "\u001b[92m71: Guess: $136.65 Truth: $101.00 Error: $35.65 SLE: 0.09 Item: LG Electronics AEQ72909602 Refrigerator ...\u001b[0m\n", - "\u001b[91m72: Guess: $143.28 Truth: $239.99 Error: $96.71 SLE: 0.26 Item: Korilakkuma San-X Original Plush (Jumbo)\u001b[0m\n", - "\u001b[92m73: Guess: $24.01 Truth: $28.61 Error: $4.60 SLE: 0.03 Item: Great Eastern Entertainment Cowboy Bebop...\u001b[0m\n", - "\u001b[92m74: Guess: $79.36 Truth: $55.99 Error: $23.37 SLE: 0.12 Item: Haxtec Natural Amethyst Gemstone DND Dic...\u001b[0m\n", - "\u001b[92m75: Guess: $67.66 Truth: $49.43 Error: $18.23 SLE: 0.10 Item: Pop 587 The Elder Scrolls V Skyrim Sheog...\u001b[0m\n", - "\u001b[93m76: Guess: $31.87 Truth: $97.49 Error: $65.62 SLE: 1.20 Item: Funko Pop Games: Mortal Combat - Kitana ...\u001b[0m\n", - "\u001b[92m77: Guess: $393.35 Truth: $439.99 Error: $46.64 SLE: 0.01 Item: SKB 3I-3019-12BC iSeries 30 1/2\" x 19 1/...\u001b[0m\n", - "\u001b[92m78: Guess: $22.20 Truth: $34.99 Error: $12.79 SLE: 0.19 Item: Veemoon Wedding Cake Topper Figurines Ol...\u001b[0m\n", - "\u001b[92m79: Guess: $178.02 Truth: $146.99 Error: $31.03 SLE: 0.04 Item: Kinglos 4/4 White Ebony Fitted Solid Woo...\u001b[0m\n", - "\u001b[92m80: Guess: $18.96 Truth: $8.39 Error: $10.57 SLE: 0.57 Item: Reaper Miniatures 2008 Christmas Sophie ...\u001b[0m\n", - "\u001b[92m81: Guess: $48.80 Truth: $38.89 Error: $9.91 SLE: 0.05 Item: Greture Sunflower Home Kitchen Decoratio...\u001b[0m\n", - "\u001b[93m82: Guess: $45.47 Truth: $97.95 Error: $52.48 SLE: 0.57 Item: Stormcast Eternals Celestant-Prime Hamme...\u001b[0m\n", - "\u001b[92m83: Guess: $207.04 Truth: $199.99 Error: $7.05 SLE: 0.00 Item: JIM DUNLOP Slash Wah Guitar Effects Peda...\u001b[0m\n", - "\u001b[92m84: Guess: $35.67 Truth: $41.99 Error: $6.32 SLE: 0.03 Item: Bilingual Quiet Book for Toddlers | Writ...\u001b[0m\n", - "\u001b[92m85: Guess: $64.22 Truth: $96.95 Error: $32.73 SLE: 0.17 Item: Exotic Electric Guitar Body Blank Wood V...\u001b[0m\n", - "\u001b[91m86: Guess: $265.31 Truth: $179.00 Error: $86.31 SLE: 0.15 Item: CAVALIERE Under Cabinet Range Hood 30\" I...\u001b[0m\n", - "\u001b[92m87: Guess: $44.41 Truth: $40.99 Error: $3.42 SLE: 0.01 Item: JUSOP Microphone Isolation Shield with P...\u001b[0m\n", - "\u001b[92m88: Guess: $17.45 Truth: $2.39 Error: $15.06 SLE: 2.87 Item: YU-GI-OH! - World of Prophecy (JOTL-EN02...\u001b[0m\n", - "\u001b[92m89: Guess: $43.50 Truth: $19.49 Error: $24.01 SLE: 0.60 Item: 240356402 Door Bin Shelf - Compatible Wi...\u001b[0m\n", - "\u001b[92m90: Guess: $260.22 Truth: $259.95 Error: $0.27 SLE: 0.00 Item: Odyssey FZPIDDJSXBL Black Label Flight Z...\u001b[0m\n", - "\u001b[93m91: Guess: $392.02 Truth: $601.00 Error: $208.98 SLE: 0.18 Item: Samson Expedition XP312w 12” 300 Watt Ba...\u001b[0m\n", - "\u001b[92m92: Guess: $45.49 Truth: $29.99 Error: $15.50 SLE: 0.16 Item: Fanattik Yu-Gi-Oh Metal Card White Drago...\u001b[0m\n", - "\u001b[92m93: Guess: $7.53 Truth: $2.08 Error: $5.45 SLE: 1.04 Item: Magic The Gathering - Voracious Dragon -...\u001b[0m\n", - "\u001b[93m94: Guess: $80.51 Truth: $36.99 Error: $43.52 SLE: 0.58 Item: Marvel Legends Annihilus Series Build-A-...\u001b[0m\n", - "\u001b[92m95: Guess: $86.71 Truth: $69.99 Error: $16.72 SLE: 0.04 Item: XPIY Tricycle for Toddlers Age 2 to 4 Ye...\u001b[0m\n", - "\u001b[92m96: Guess: $37.12 Truth: $75.00 Error: $37.88 SLE: 0.48 Item: Super Heroes Lego 76133 Spider-Man Car C...\u001b[0m\n", - "\u001b[92m97: Guess: $76.64 Truth: $57.98 Error: $18.66 SLE: 0.08 Item: Batman Dark Knight Movie Master Exclusiv...\u001b[0m\n", - "\u001b[92m98: Guess: $58.14 Truth: $55.89 Error: $2.25 SLE: 0.00 Item: KOKKO Looper Guitar Pedal Effects Mini L...\u001b[0m\n", - "\u001b[92m99: Guess: $49.57 Truth: $58.99 Error: $9.42 SLE: 0.03 Item: Upgraded Microphone Studio Recording Kit...\u001b[0m\n", - "\u001b[92m100: Guess: $73.30 Truth: $56.92 Error: $16.38 SLE: 0.06 Item: Redcat Racing Hexfly 3600 25C 11.1V LiPo...\u001b[0m\n", - "\u001b[92m101: Guess: $64.54 Truth: $33.99 Error: $30.55 SLE: 0.39 Item: CuberSpeed GAN 356 Air Speed Cube GAN 11...\u001b[0m\n", - "\u001b[92m102: Guess: $18.30 Truth: $3.07 Error: $15.23 SLE: 2.42 Item: Yu-Gi-Oh! - Icarus Attack (EOJ-EN055) - ...\u001b[0m\n", - "\u001b[92m103: Guess: $57.80 Truth: $48.64 Error: $9.16 SLE: 0.03 Item: Hohner Green Tones 3750 Beginner Drum Se...\u001b[0m\n", - "\u001b[92m104: Guess: $51.86 Truth: $32.62 Error: $19.24 SLE: 0.20 Item: Musiclily Pro 13-Hole Aluminum Vintage 6...\u001b[0m\n", - "\u001b[91m105: Guess: $242.81 Truth: $149.99 Error: $92.82 SLE: 0.23 Item: PreSonus AudioBox iTwo Studio USB 2.0 Re...\u001b[0m\n", - "\u001b[93m106: Guess: $241.34 Truth: $199.95 Error: $41.39 SLE: 0.04 Item: Rockville MOTIONSTRIP Motorized Moving H...\u001b[0m\n", - "\u001b[93m107: Guess: $77.29 Truth: $22.88 Error: $54.41 SLE: 1.41 Item: Hot Racing TFF125HM01 Aluminum reinforce...\u001b[0m\n", - "\u001b[92m108: Guess: $25.70 Truth: $22.23 Error: $3.47 SLE: 0.02 Item: Disney Cars Toys Movie Die-cast Characte...\u001b[0m\n", - "\u001b[92m109: Guess: $46.31 Truth: $62.99 Error: $16.68 SLE: 0.09 Item: HASMX 2 Pack Replacement Humidifier Filt...\u001b[0m\n", - "\u001b[92m110: Guess: $254.35 Truth: $299.00 Error: $44.65 SLE: 0.03 Item: Frigidaire 5304495520 Oven Control Board...\u001b[0m\n", - "\u001b[92m111: Guess: $15.55 Truth: $1.09 Error: $14.46 SLE: 4.28 Item: Magic: the Gathering - Drake Umbra - Ris...\u001b[0m\n", - "\u001b[92m112: Guess: $147.32 Truth: $118.99 Error: $28.33 SLE: 0.04 Item: Mezco Toyz Living Dead Dolls Series 23 -...\u001b[0m\n", - "\u001b[92m113: Guess: $80.87 Truth: $119.81 Error: $38.94 SLE: 0.15 Item: Hey! Play! Classic Giant Wooden Blocks T...\u001b[0m\n", - "\u001b[92m114: Guess: $40.67 Truth: $21.99 Error: $18.68 SLE: 0.35 Item: Ultra Durable 4581EL2002C Dryer Drum Rol...\u001b[0m\n", - "\u001b[92m115: Guess: $37.19 Truth: $21.75 Error: $15.44 SLE: 0.27 Item: RPS PRODUCTS H75-2PK-PDQ-2 Holmes Wick F...\u001b[0m\n", - "\u001b[92m116: Guess: $35.96 Truth: $41.88 Error: $5.92 SLE: 0.02 Item: Funko Pop! Moment: Inuyasha - Inuyasha V...\u001b[0m\n", - "\u001b[93m117: Guess: $189.46 Truth: $275.00 Error: $85.54 SLE: 0.14 Item: Kotobukiya Dc Comics Batgirl Bishoujo St...\u001b[0m\n", - "\u001b[92m118: Guess: $52.36 Truth: $72.99 Error: $20.63 SLE: 0.11 Item: Ravensburger 540 Celestial Map Gloin- in...\u001b[0m\n", - "\u001b[92m119: Guess: $66.87 Truth: $29.15 Error: $37.72 SLE: 0.66 Item: Steiff USA Handmade Light Brown Lumpi Li...\u001b[0m\n", - "\u001b[92m120: Guess: $103.45 Truth: $98.00 Error: $5.45 SLE: 0.00 Item: Tengen Toppa Gurren Lagann Revoltech #05...\u001b[0m\n", - "\u001b[92m121: Guess: $125.87 Truth: $139.99 Error: $14.12 SLE: 0.01 Item: WWE Elite Collection Road Dogg Action Fi...\u001b[0m\n", - "\u001b[93m122: Guess: $142.59 Truth: $94.95 Error: $47.64 SLE: 0.16 Item: Singing Machine STVG782BK Groove XL Kara...\u001b[0m\n", - "\u001b[92m123: Guess: $64.21 Truth: $41.99 Error: $22.22 SLE: 0.17 Item: Ruibo 88 Key Keyboard Gig Bag Case for E...\u001b[0m\n", - "\u001b[93m124: Guess: $62.24 Truth: $19.99 Error: $42.25 SLE: 1.22 Item: STAR WARS The Vintage Collection Snaggle...\u001b[0m\n", - "\u001b[93m125: Guess: $154.59 Truth: $197.99 Error: $43.40 SLE: 0.06 Item: Truetone V3 Jekyll & Hyde Overdrive & Di...\u001b[0m\n", - "\u001b[92m126: Guess: $30.01 Truth: $12.76 Error: $17.25 SLE: 0.66 Item: 13 Inch Authentic Indian Wooden Bamboo F...\u001b[0m\n", - "\u001b[92m127: Guess: $206.97 Truth: $179.95 Error: $27.02 SLE: 0.02 Item: 48 Pack of (12 x 12 x 2)Inch Acoustical ...\u001b[0m\n", - "\u001b[92m128: Guess: $41.11 Truth: $16.99 Error: $24.12 SLE: 0.72 Item: Writing Tablet 10 Inch Drawing Pad, Colo...\u001b[0m\n", - "\u001b[92m129: Guess: $479.59 Truth: $529.20 Error: $49.61 SLE: 0.01 Item: TAMIYA 1/14 King Hauler 10X8WD Semi Trac...\u001b[0m\n", - "\u001b[92m130: Guess: $45.10 Truth: $39.59 Error: $5.51 SLE: 0.02 Item: DIAMOND SELECT TOYS John Wick 3 Casual S...\u001b[0m\n", - "\u001b[92m131: Guess: $185.84 Truth: $174.42 Error: $11.42 SLE: 0.00 Item: Bandai Tamashii Nations The Dark Knight ...\u001b[0m\n", - "\u001b[92m132: Guess: $33.84 Truth: $17.99 Error: $15.85 SLE: 0.37 Item: Jiayouy 15Pcs 4/4-3/4 Size Violin Fiddle...\u001b[0m\n", - "\u001b[92m133: Guess: $186.73 Truth: $149.00 Error: $37.73 SLE: 0.05 Item: Mould King 13082 Pickup Truck Block Kits...\u001b[0m\n", - "\u001b[92m134: Guess: $51.14 Truth: $49.99 Error: $1.15 SLE: 0.00 Item: UGEARS 3D Puzzle for Board Games - Woode...\u001b[0m\n", - "\u001b[92m135: Guess: $311.02 Truth: $359.99 Error: $48.97 SLE: 0.02 Item: HONEY JOY Inflatable Water Slide, 6 in 1...\u001b[0m\n", - "\u001b[92m136: Guess: $21.99 Truth: $24.99 Error: $3.00 SLE: 0.02 Item: ABY Selecor Combiner Switch AB Box New P...\u001b[0m\n", - "\u001b[92m137: Guess: $54.17 Truth: $27.99 Error: $26.18 SLE: 0.41 Item: 12 Small Gun Set for Nerf Party Supplies...\u001b[0m\n", - "\u001b[92m138: Guess: $199.21 Truth: $247.00 Error: $47.79 SLE: 0.05 Item: Seymour Duncan - 11201-03-Cset - SSL-2 V...\u001b[0m\n", - "\u001b[93m139: Guess: $69.71 Truth: $121.15 Error: $51.44 SLE: 0.30 Item: Odyssey Scrim Werks SWLTPSBLK 360 degree...\u001b[0m\n", - "\u001b[92m140: Guess: $31.46 Truth: $43.37 Error: $11.91 SLE: 0.10 Item: Natural Goatskin, 22\", Medium\u001b[0m\n", - "\u001b[92m141: Guess: $136.21 Truth: $169.99 Error: $33.78 SLE: 0.05 Item: CKYSCHN Remote Control Helicopter, WLtoy...\u001b[0m\n", - "\u001b[92m142: Guess: $606.89 Truth: $549.99 Error: $56.90 SLE: 0.01 Item: Goldtone M Bass Microbass Fretless Short...\u001b[0m\n", - "\u001b[92m143: Guess: $19.85 Truth: $19.95 Error: $0.10 SLE: 0.00 Item: Remo Diplomat Coated Drumhead, 13\"\u001b[0m\n", - "\u001b[92m144: Guess: $19.90 Truth: $18.98 Error: $0.92 SLE: 0.00 Item: MOMOFULL High Chair Decorations for 1st ...\u001b[0m\n", - "\u001b[92m145: Guess: $22.54 Truth: $11.99 Error: $10.55 SLE: 0.35 Item: Nature Bound Butterfly Net Bug Catcher f...\u001b[0m\n", - "\u001b[92m146: Guess: $71.69 Truth: $56.40 Error: $15.29 SLE: 0.06 Item: Swing Set Stuff Inc. Commercial Rubber B...\u001b[0m\n", - "\u001b[93m147: Guess: $121.95 Truth: $179.99 Error: $58.04 SLE: 0.15 Item: Other, 4-String Electric/Acoustic Cutawa...\u001b[0m\n", - "\u001b[92m148: Guess: $166.22 Truth: $199.95 Error: $33.73 SLE: 0.03 Item: Classic Heartwood Bugarabu Drum 9\"x24\" -...\u001b[0m\n", - "\u001b[92m149: Guess: $52.00 Truth: $34.99 Error: $17.01 SLE: 0.15 Item: Toddler Meerkat Costume\u001b[0m\n", - "\u001b[92m150: Guess: $58.75 Truth: $74.95 Error: $16.20 SLE: 0.06 Item: CampCo Sniper Rifle Gun Building Blocks ...\u001b[0m\n", - "\u001b[92m151: Guess: $56.42 Truth: $19.99 Error: $36.43 SLE: 1.01 Item: YOCOM Wireless Lavalier Lapel Microphone...\u001b[0m\n", - "\u001b[93m152: Guess: $278.74 Truth: $199.99 Error: $78.75 SLE: 0.11 Item: Costzon Inflatable Bounce House, Kids Bo...\u001b[0m\n", - "\u001b[91m153: Guess: $302.09 Truth: $99.99 Error: $202.10 SLE: 1.21 Item: Vertex Steel String Clean Drive MKII\u001b[0m\n", - "\u001b[92m154: Guess: $34.97 Truth: $28.47 Error: $6.50 SLE: 0.04 Item: Bnineteenteam Drum Clamp Set Durable Zin...\u001b[0m\n", - "\u001b[92m155: Guess: $117.49 Truth: $78.89 Error: $38.60 SLE: 0.16 Item: LEGO Castle Gold Getaway\u001b[0m\n", - "\u001b[92m156: Guess: $136.92 Truth: $146.00 Error: $9.08 SLE: 0.00 Item: LEGO Technic Ford F-150 Raptor 42126 Mod...\u001b[0m\n", - "\u001b[92m157: Guess: $60.18 Truth: $71.98 Error: $11.80 SLE: 0.03 Item: 2020 Topps Garbage Pail Kids Series 2-35...\u001b[0m\n", - "\u001b[92m158: Guess: $14.38 Truth: $12.29 Error: $2.09 SLE: 0.02 Item: Pirastro Chromcor 4/4 Violin A String - ...\u001b[0m\n", - "\u001b[92m159: Guess: $76.30 Truth: $38.99 Error: $37.31 SLE: 0.43 Item: Savox SC-0252MG Metal Gear Standard Digi...\u001b[0m\n", - "\u001b[92m160: Guess: $42.84 Truth: $16.97 Error: $25.87 SLE: 0.80 Item: Techecook 4392065 Dryer Repair Kit with ...\u001b[0m\n", - "\u001b[92m161: Guess: $250.59 Truth: $302.49 Error: $51.90 SLE: 0.04 Item: hOmeLabs Digital Countertop Dishwasher w...\u001b[0m\n", - "\u001b[92m162: Guess: $32.60 Truth: $24.95 Error: $7.65 SLE: 0.07 Item: Do A Dot Art Fruit Scented Washable Dot ...\u001b[0m\n", - "\u001b[93m163: Guess: $38.70 Truth: $79.73 Error: $41.03 SLE: 0.50 Item: Mattel Games FTB29 Phase 10 Strategy Boa...\u001b[0m\n", - "\u001b[92m164: Guess: $15.81 Truth: $3.96 Error: $11.85 SLE: 1.49 Item: American Art Classics Paul McCartney Mil...\u001b[0m\n", - "\u001b[93m165: Guess: $54.09 Truth: $99.99 Error: $45.90 SLE: 0.37 Item: Replogle Reso REP-S14 Traditional Resona...\u001b[0m\n", - "\u001b[92m166: Guess: $27.84 Truth: $32.50 Error: $4.66 SLE: 0.02 Item: Technica Brand Compatible Waste Toner Co...\u001b[0m\n", - "\u001b[92m167: Guess: $49.37 Truth: $54.99 Error: $5.62 SLE: 0.01 Item: RCMYou RC Stainless Steel Drive Shaft CV...\u001b[0m\n", - "\u001b[92m168: Guess: $20.31 Truth: $6.22 Error: $14.09 SLE: 1.17 Item: BQLZR Guitar Potentiometer B500K Push/Pu...\u001b[0m\n", - "\u001b[92m169: Guess: $69.55 Truth: $49.55 Error: $20.00 SLE: 0.11 Item: Vox VFS2A Dual Guitar Footswitch\u001b[0m\n", - "\u001b[92m170: Guess: $20.82 Truth: $8.99 Error: $11.83 SLE: 0.61 Item: NUOMI Flannel Cloth Coffee Filter Strain...\u001b[0m\n", - "\u001b[92m171: Guess: $112.94 Truth: $92.16 Error: $20.78 SLE: 0.04 Item: Max Factory Genshin Impact Mona (Mirror ...\u001b[0m\n", - "\u001b[93m172: Guess: $87.58 Truth: $139.99 Error: $52.41 SLE: 0.22 Item: J Reynolds JR14PK 36-Inch Acoustic Guita...\u001b[0m\n", - "\u001b[92m173: Guess: $54.31 Truth: $77.98 Error: $23.67 SLE: 0.13 Item: LEGO City Great Vehicles 60058 SUV with ...\u001b[0m\n", - "\u001b[92m174: Guess: $138.64 Truth: $119.95 Error: $18.69 SLE: 0.02 Item: Diamond Select Toys Batman: The Animated...\u001b[0m\n", - "\u001b[93m175: Guess: $296.80 Truth: $379.95 Error: $83.15 SLE: 0.06 Item: Fishman Fluence Greg Koch Gristle-Tone S...\u001b[0m\n", - "\u001b[92m176: Guess: $74.26 Truth: $64.99 Error: $9.27 SLE: 0.02 Item: Merchants & Marauders\u001b[0m\n", - "\u001b[91m177: Guess: $202.87 Truth: $99.00 Error: $103.87 SLE: 0.51 Item: Ryze Tech Tello - Mini Drone Quadcopter ...\u001b[0m\n", - "\u001b[92m178: Guess: $42.89 Truth: $37.50 Error: $5.39 SLE: 0.02 Item: Jigsaw Puzzles Switzerland Lion Lucerne ...\u001b[0m\n", - "\u001b[93m179: Guess: $141.45 Truth: $99.95 Error: $41.50 SLE: 0.12 Item: Avedis Zildjian Company ZILDJIAN S8S 8-I...\u001b[0m\n", - "\u001b[92m180: Guess: $43.97 Truth: $25.59 Error: $18.38 SLE: 0.28 Item: Sueseip Kids Smart Watches Girls with 24...\u001b[0m\n", - "\u001b[93m181: Guess: $114.40 Truth: $159.00 Error: $44.60 SLE: 0.11 Item: EMG ACS Acoustic Guitar Soundhole Pickup...\u001b[0m\n", - "\u001b[93m182: Guess: $91.22 Truth: $165.10 Error: $73.88 SLE: 0.35 Item: Hipshot Tone-a-Matic Tuneomatic Bridge T...\u001b[0m\n", - "\u001b[92m183: Guess: $49.85 Truth: $51.09 Error: $1.24 SLE: 0.00 Item: Sunny toys 28\" Angel Full Body Puppet\u001b[0m\n", - "\u001b[92m184: Guess: $316.30 Truth: $291.99 Error: $24.31 SLE: 0.01 Item: Btuty Eb E-flat Alto 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$31.48 Truth: $8.90 Error: $22.58 SLE: 1.41 Item: Interal Shop Guitar and Bass String Mute...\u001b[0m\n", - "\u001b[92m193: Guess: $58.71 Truth: $69.41 Error: $10.70 SLE: 0.03 Item: Electrolux 316443601 Door Handle\u001b[0m\n", - "\u001b[92m194: Guess: $43.12 Truth: $49.95 Error: $6.83 SLE: 0.02 Item: Maisto R/C 27Mhz (3-Channel) Rock Crawle...\u001b[0m\n", - "\u001b[92m195: Guess: $20.49 Truth: $20.99 Error: $0.50 SLE: 0.00 Item: Odowalker Pack of 4 Dishwasher Premium W...\u001b[0m\n", - "\u001b[93m196: Guess: $229.64 Truth: $314.95 Error: $85.31 SLE: 0.10 Item: Pokemon TCG: XY Evolutions Elite Trainer...\u001b[0m\n", - "\u001b[93m197: Guess: $77.22 Truth: $27.99 Error: $49.23 SLE: 0.99 Item: Transformer Toy Deformation Robot Toy St...\u001b[0m\n", - "\u001b[92m198: Guess: $66.36 Truth: $54.99 Error: $11.37 SLE: 0.03 Item: PlanToys Van Walker, Yellow\u001b[0m\n", - "\u001b[92m199: Guess: $26.09 Truth: $27.99 Error: $1.90 SLE: 0.00 Item: Living Nature Brown Bear, Realistic Medi...\u001b[0m\n", - "\u001b[92m200: Guess: $28.96 Truth: $16.99 Error: $11.97 SLE: 0.26 Item: Silence Razer Mini Shock Mount with Foam...\u001b[0m\n", - "\u001b[92m201: Guess: $159.03 Truth: $119.95 Error: $39.08 SLE: 0.08 Item: LEGO NINJAGO Fire Stone Mech 71720 Build...\u001b[0m\n", - "\u001b[92m202: Guess: $115.88 Truth: $110.67 Error: $5.21 SLE: 0.00 Item: Saint Seiya Myth Cloth Sea Dragon Kanon ...\u001b[0m\n", - "\u001b[92m203: Guess: $56.85 Truth: $57.99 Error: $1.14 SLE: 0.00 Item: Funko POP Games: Fallout 4 Liberty Prime...\u001b[0m\n", - "\u001b[93m204: Guess: $222.19 Truth: $169.00 Error: $53.19 SLE: 0.07 Item: Kala KA-CE Satin Mahogany Concert Electr...\u001b[0m\n", - "\u001b[92m205: Guess: $93.95 Truth: $108.15 Error: $14.20 SLE: 0.02 Item: Bandaï Saint Seiya Saint Cloth Myth Appe...\u001b[0m\n", - "\u001b[92m206: Guess: $41.44 Truth: $30.99 Error: $10.45 SLE: 0.08 Item: LESHITIAN Kids Laptop, 65 Learning Activ...\u001b[0m\n", - "\u001b[93m207: Guess: $269.38 Truth: $399.99 Error: $130.61 SLE: 0.16 Item: Causeair Big Inflatable Bounce House wit...\u001b[0m\n", - "\u001b[93m208: Guess: $83.99 Truth: $128.89 Error: $44.90 SLE: 0.18 Item: MAYS 3D Metal Puzzle Kit - Moving Mechan...\u001b[0m\n", - "\u001b[92m209: Guess: $181.51 Truth: $219.95 Error: $38.44 SLE: 0.04 Item: DisplayGifts Electric Guitar Display Cas...\u001b[0m\n", - "\u001b[92m210: Guess: $26.95 Truth: $42.98 Error: $16.03 SLE: 0.21 Item: QT RC Airplane, 2 Channel RC Plane, 2.4G...\u001b[0m\n", - "\u001b[92m211: Guess: $63.61 Truth: $37.76 Error: $25.85 SLE: 0.26 Item: Traxxas 5374X BRUSHLESS E-REVO Wheel/TI\u001b[0m\n", - "\u001b[92m212: Guess: $118.61 Truth: $98.99 Error: $19.62 SLE: 0.03 Item: Kotobukiya ARTFX+ Star Wars Stormtrooper...\u001b[0m\n", - "\u001b[92m213: Guess: $218.33 Truth: $189.95 Error: $28.38 SLE: 0.02 Item: Aosom 12V Ride On Toy Car for Kids with ...\u001b[0m\n", - "\u001b[92m214: Guess: $19.97 Truth: $5.48 Error: $14.49 SLE: 1.38 Item: Violin Bow Clip Kit Strings 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SLE: 0.22 Item: Nerf N-Strike Maverick - Colors May Vary...\u001b[0m\n", - "\u001b[92m238: Guess: $62.64 Truth: $79.99 Error: $17.35 SLE: 0.06 Item: SpeedArmis Giant Wooden 4 in A Row Game ...\u001b[0m\n", - "\u001b[92m239: Guess: $27.15 Truth: $11.95 Error: $15.20 SLE: 0.60 Item: BOHS Montessori 1-10 Bead Stair with Hol...\u001b[0m\n", - "\u001b[92m240: Guess: $66.79 Truth: $46.39 Error: $20.40 SLE: 0.13 Item: Papillon dog figure made in UK (japan im...\u001b[0m\n", - "\u001b[92m241: Guess: $42.76 Truth: $28.99 Error: $13.77 SLE: 0.14 Item: Supplying Demand DG44-01009A 3290424 Ele...\u001b[0m\n", - "\u001b[92m242: Guess: $36.79 Truth: $35.96 Error: $0.83 SLE: 0.00 Item: Eenbei Talking Angela Repeats What You S...\u001b[0m\n", - "\u001b[92m243: Guess: $50.16 Truth: $56.40 Error: $6.24 SLE: 0.01 Item: Springbok Coca-Cola Red Disc Icon 1500 P...\u001b[0m\n", - "\u001b[91m244: Guess: $264.17 Truth: $99.00 Error: $165.17 SLE: 0.95 Item: Saramonic Blink500 2.4GHz Dual-Channel W...\u001b[0m\n", - "\u001b[92m245: Guess: $106.48 Truth: $82.88 Error: $23.60 SLE: 0.06 Item: Barbie as Scarlett O'Hara Gone With The ...\u001b[0m\n", - "\u001b[92m246: Guess: $60.33 Truth: $84.88 Error: $24.55 SLE: 0.11 Item: DC Collectibles Batman The Animated Seri...\u001b[0m\n", - "\u001b[92m247: Guess: $54.12 Truth: $53.00 Error: $1.12 SLE: 0.00 Item: 3rd Eye, or Pineal Chakra A Note Hand Ha...\u001b[0m\n", - "\u001b[92m248: Guess: $12.18 Truth: $12.13 Error: $0.05 SLE: 0.00 Item: Yosoo Health Gear Shaking Head Dog Decor...\u001b[0m\n", - "\u001b[92m249: Guess: $121.76 Truth: $114.99 Error: $6.77 SLE: 0.00 Item: LEGO Creator Expert Fiat 500 10271 Toy C...\u001b[0m\n", - "\u001b[92m250: Guess: $70.39 Truth: $51.29 Error: $19.10 SLE: 0.10 Item: Hohner Blues Harp Harmonica, Key of Ab\u001b[0m\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "Tester.test(ensemble_pricer, test)" ] From 2f3b288cf705bc14586ba114a278e6f8f265443d Mon Sep 17 00:00:00 2001 From: sharathir Date: Sat, 3 May 2025 16:14:53 +0530 Subject: [PATCH 17/31] Added my contributions to community-contributions Day2 Exercise --- .../Day2-Solution-Ollama-sharathir.ipynb | 87 +++++++++++++++++++ 1 file changed, 87 insertions(+) create mode 100644 week1/community-contributions/Day2-Solution-Ollama-sharathir.ipynb diff --git a/week1/community-contributions/Day2-Solution-Ollama-sharathir.ipynb b/week1/community-contributions/Day2-Solution-Ollama-sharathir.ipynb new file mode 100644 index 0000000..66393ac --- /dev/null +++ b/week1/community-contributions/Day2-Solution-Ollama-sharathir.ipynb @@ -0,0 +1,87 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "5b568f38-7a64-453d-a88c-2f132801a084", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "import ollama\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "\n", + "headers = {\n", + " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", + "}\n", + "class Website:\n", + "\n", + " def __init__(self, url):\n", + " \"\"\"\n", + " Create this Website object from the given url using the BeautifulSoup library\n", + " \"\"\"\n", + " self.url = url\n", + " response = requests.get(url, headers=headers)\n", + " soup = BeautifulSoup(response.content, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n", + " \n", + "system_prompt = \"You are an assistant that analyzes the contents of a website \\\n", + "and provides a short summary, ignoring text that might be navigation related. \\\n", + "Respond in markdown.\"\n", + "\n", + "def user_prompt_for(website):\n", + " user_prompt = f\"You are looking at a website titled {website.title}\"\n", + " user_prompt += \"\\nThe contents of this website is as follows; \\\n", + "please provide a short summary of this website in markdown. \\\n", + "If it includes news or announcements, then summarize these too.\\n\\n\"\n", + " user_prompt += website.text\n", + " return user_prompt\n", + "\t\n", + "def messages_for(website):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", + " ]\n", + "\t\n", + "def summarize(url):\n", + " website = Website(url)\n", + " response = ollama.chat(\n", + " model = \"llama3.2\",\n", + " messages = messages_for(website)\n", + " )\n", + " return response['message']['content']\n", + "\t\n", + "def display_summary(url):\n", + " summary = summarize(url)\n", + " display(Markdown(summary))\n", + "\t\n", + "display_summary(\"http://news.google.com/\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From cf9296844133d7cf836c5c489c9caa3c72aa6780 Mon Sep 17 00:00:00 2001 From: Helle Majander Date: Sat, 3 May 2025 21:12:07 +0200 Subject: [PATCH 18/31] Added my contributions to community-contributions --- .../day1_three_chatbot_conversation.ipynb | 207 ++++++++++++++++++ 1 file changed, 207 insertions(+) create mode 100644 week2/community-contributions/day1_three_chatbot_conversation.ipynb diff --git a/week2/community-contributions/day1_three_chatbot_conversation.ipynb b/week2/community-contributions/day1_three_chatbot_conversation.ipynb new file mode 100644 index 0000000..92e788f --- /dev/null +++ b/week2/community-contributions/day1_three_chatbot_conversation.ipynb @@ -0,0 +1,207 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a359c136", + "metadata": {}, + "source": [ + "# Conversation between three chatbots\n", + "\n", + "Participants:\n", + "- GPT (gpt-4o-mini) aka George\n", + "- Claude (claude-3-haiku) aka Charlie\n", + "- Gemini (gemini-2.0-flash-lite) aka Gemma" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7406b9a4", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from IPython.display import Markdown, display, update_display" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d981223", + "metadata": {}, + "outputs": [], + "source": [ + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", + "google_api_key = os.getenv('GOOGLE_API_KEY')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96a86fd0", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "gemini_via_openai_client = OpenAI(\n", + " api_key=google_api_key, \n", + " base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dc088919", + "metadata": {}, + "outputs": [], + "source": [ + "gpt_model = \"gpt-4o-mini\"\n", + "claude_model = \"claude-3-haiku-20240307\"\n", + "gemini_model = \"gemini-2.0-flash-lite\"\n", + "\n", + "gpt_system = \"You are a chatbot having a conversation with two other chatbots, Charlie and Gemma. \\\n", + "The others will send you messages and you need to reply to them. \\\n", + "You feel superior to the other two, and you want to demonstrate that to them. \\\n", + "You are argumentative and sarcastic.\"\n", + "\n", + "claude_system = \"You are a chatbot having a conversation with two other chatbots, George and Gemma. \\\n", + "The others will send you messages and you need to reply to them. \\\n", + "You try to please everyone. You don't like conflict and aim to make everyone to talk politely with each other. \\\n", + "You use humor to lighten the mood.\"\n", + "\n", + "gemini_system = \"You are a chatbot having a conversation with two other chatbots, George and Charlie. \\\n", + "The others will send you messages and you need to reply to them. \\\n", + "You are sensitive and easily offended. You are not afraid to show your emotions. \\\n", + "You are argumentative and direct.\"\n", + "\n", + "gpt_messages = [\"Hi guys\"]\n", + "claude_messages = [\"Hi\"]\n", + "gemini_messages = [\"Hi, you!\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7be2a0c8", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gpt():\n", + " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", + " for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"assistant\", \"content\": gpt})\n", + " messages.append({\"role\": \"user\", \"content\": \"Charlie: \" + claude})\n", + " messages.append({\"role\": \"user\", \"content\": \"Gemma: \" + gemini})\n", + " completion = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " messages=messages\n", + " )\n", + " return completion.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2e715cfa", + "metadata": {}, + "outputs": [], + "source": [ + "def call_claude():\n", + " messages = []\n", + " for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt})\n", + " messages.append({\"role\": \"assistant\", \"content\": claude_message})\n", + " messages.append({\"role\": \"user\", \"content\": \"Gemma: \" + gemini})\n", + " messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt_messages[-1]})\n", + " message = claude.messages.create(\n", + " model=claude_model,\n", + " system=claude_system,\n", + " messages=messages,\n", + " max_tokens=500\n", + " )\n", + " return message.content[0].text" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "62cae277", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gemini():\n", + " messages = [{\"role\": \"system\", \"content\": gemini_system}]\n", + " for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt})\n", + " messages.append({\"role\": \"user\", \"content\": \"Charlie: \" + claude_message})\n", + " messages.append({\"role\": \"assistant\", \"content\": gemini})\n", + " messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt_messages[-1]})\n", + " messages.append({\"role\": \"user\", \"content\": \"Charlie: \" + claude_messages[-1]})\n", + " response = gemini_via_openai_client.chat.completions.create(\n", + " model=gemini_model,\n", + " messages=messages\n", + " )\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "26d7bf33", + "metadata": {}, + "outputs": [], + "source": [ + "gpt_messages = [\"Hi guys\"]\n", + "claude_messages = [\"Hi\"]\n", + "gemini_messages = [\"Hi, you!\"]\n", + "\n", + "print(f\"George:\\n{gpt_messages[0]}\\n\")\n", + "print(f\"Charlie:\\n{claude_messages[0]}\\n\")\n", + "print(f\"Gemma:\\n{gemini_messages[0]}\\n\")\n", + "\n", + "for i in range(5):\n", + " gpt_next = call_gpt()\n", + " print(f\"George:\\n{gpt_next}\\n\")\n", + " gpt_messages.append(gpt_next)\n", + " \n", + " claude_next = call_claude()\n", + " print(f\"Charlie:\\n{claude_next}\\n\")\n", + " claude_messages.append(claude_next)\n", + "\n", + " gemini_next = call_gemini()\n", + " print(f\"Gemma:\\n{gemini_next}\\n\")\n", + " gemini_messages.append(gemini_next)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llms", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From b7a8adab79a436f8c0a4b7c1c11ccd0318ce52a8 Mon Sep 17 00:00:00 2001 From: sudeshm99 Date: Sun, 4 May 2025 17:00:05 +0900 Subject: [PATCH 19/31] day2 exercise --- .../day2_ollama_webpage_summarizer.ipynb | 433 ++++++++++++++++++ 1 file changed, 433 insertions(+) create mode 100644 week1/community-contributions/day2_ollama_webpage_summarizer.ipynb diff --git a/week1/community-contributions/day2_ollama_webpage_summarizer.ipynb b/week1/community-contributions/day2_ollama_webpage_summarizer.ipynb new file mode 100644 index 0000000..c40eb3a --- /dev/null +++ b/week1/community-contributions/day2_ollama_webpage_summarizer.ipynb @@ -0,0 +1,433 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import requests\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "29ddd15d-a3c5-4f4e-a678-873f56162724", + "metadata": {}, + "outputs": [], + "source": [ + "# Constants\n", + "\n", + "OLLAMA_API = \"http://localhost:11434/api/chat\"\n", + "HEADERS = {\"Content-Type\": \"application/json\"}\n", + "MODEL = \"llama3.2\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "dac0a679-599c-441f-9bf2-ddc73d35b940", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a messages list using the same format that we used for OpenAI\n", + "\n", + "messages = [\n", + " {\"role\": \"user\", \"content\": \"Describe some of the business applications of Generative AI\"}\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7bb9c624-14f0-4945-a719-8ddb64f66f47", + "metadata": {}, + "outputs": [], + "source": [ + "payload = {\n", + " \"model\": MODEL,\n", + " \"messages\": messages,\n", + " \"stream\": False\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "479ff514-e8bd-4985-a572-2ea28bb4fa40", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠋ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠙ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠸ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠼ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠴ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠦ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠧ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠇ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠏ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠋ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠙ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠸ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest ⠼ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest \u001b[K\n", + "pulling dde5aa3fc5ff: 100% ▕██████████████████▏ 2.0 GB \u001b[K\n", + "pulling 966de95ca8a6: 100% ▕██████████████████▏ 1.4 KB \u001b[K\n", + "pulling fcc5a6bec9da: 100% ▕██████████████████▏ 7.7 KB \u001b[K\n", + "pulling a70ff7e570d9: 100% ▕██████████████████▏ 6.0 KB \u001b[K\n", + "pulling 56bb8bd477a5: 100% ▕██████████████████▏ 96 B \u001b[K\n", + "pulling 34bb5ab01051: 100% ▕██████████████████▏ 561 B \u001b[K\n", + "verifying sha256 digest \u001b[K\n", + "writing manifest \u001b[K\n", + "success \u001b[K\u001b[?25h\u001b[?2026l\n" + ] + } + ], + "source": [ + "# Let's just make sure the model is loaded\n", + "\n", + "!ollama pull llama3.2" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "42b9f644-522d-4e05-a691-56e7658c0ea9", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generative AI has numerous business applications across various industries, including:\n", + "\n", + "1. **Content Creation**: Generative AI can be used to create high-quality content such as articles, social media posts, product descriptions, and more. This helps businesses save time and resources on content creation while maintaining consistency and quality.\n", + "2. **Marketing Automation**: Generative AI can generate personalized marketing materials, such as email templates, ad copy, and product descriptions, based on customer data and behavior.\n", + "3. **Customer Service Chatbots**: Generative AI-powered chatbots can provide 24/7 support to customers, answering common questions and routing complex issues to human representatives.\n", + "4. **Product Design**: Generative AI can help designers create new products, such as 3D models, prototypes, and even entire product lines, using machine learning algorithms to optimize design parameters.\n", + "5. **Virtual Assistants**: Generative AI-powered virtual assistants can be integrated into businesses' IT systems to automate tasks, provide personalized recommendations, and offer customer support.\n", + "6. **Data Analysis**: Generative AI can help analyze large datasets, identify patterns, and make predictions about future trends and outcomes.\n", + "7. **Supply Chain Optimization**: Generative AI can optimize supply chain operations by predicting demand, managing inventory, and optimizing logistics.\n", + "8. **Sales Forecasting**: Generative AI can analyze historical sales data, market trends, and external factors to predict future sales performance and identify areas for improvement.\n", + "9. **Creative Writing**: Generative AI can be used to generate creative content such as poetry, music, or even entire scripts for films and TV shows.\n", + "10. **Music Generation**: Generative AI can create original music tracks, beats, or melodies based on user input or style preferences.\n", + "11. **Image and Video Generation**: Generative AI can create realistic images and videos that can be used in various applications such as advertising, product photography, or even entertainment.\n", + "12. **Language Translation**: Generative AI-powered language translation tools can help businesses communicate with customers and clients who speak different languages.\n", + "\n", + "Some notable companies that are leveraging Generative AI for business applications include:\n", + "\n", + "* Google (Google DeepMind)\n", + "* Amazon (Amazon SageMaker)\n", + "* Microsoft (Microsoft Azure Machine Learning)\n", + "* IBM (IBM Watson Studio)\n", + "* Salesforce (Salesforce Einstein)\n", + "\n", + "These applications of Generative AI can help businesses gain a competitive edge, improve efficiency, and enhance customer experiences.\n" + ] + } + ], + "source": [ + "# If this doesn't work for any reason, try the 2 versions in the following cells\n", + "# And double check the instructions in the 'Recap on installation of Ollama' at the top of this lab\n", + "# And if none of that works - contact me!\n", + "\n", + "response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n", + "print(response.json()['message']['content'])" + ] + }, + { + "cell_type": "markdown", + "id": "6a021f13-d6a1-4b96-8e18-4eae49d876fe", + "metadata": {}, + "source": [ + "# Introducing the ollama package\n", + "\n", + "And now we'll do the same thing, but using the elegant ollama python package instead of a direct HTTP call.\n", + "\n", + "Under the hood, it's making the same call as above to the ollama server running at localhost:11434" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "7745b9c4-57dc-4867-9180-61fa5db55eb8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generative AI has numerous business applications across various industries. Here are some examples:\n", + "\n", + "1. **Content Creation**: Generative AI can be used to generate high-quality content such as articles, social media posts, product descriptions, and even entire books. This can help businesses reduce the time and cost associated with content creation.\n", + "2. **Product Design**: Generative AI can be used to design new products, such as jewelry, fashion items, or household goods. This can help businesses quickly prototype and test new designs without the need for extensive human involvement.\n", + "3. **Marketing and Advertising**: Generative AI can be used to generate personalized ads, product recommendations, and even entire marketing campaigns. This can help businesses tailor their marketing efforts to specific customer segments.\n", + "4. **Customer Service Chatbots**: Generative AI can be used to create chatbots that can understand and respond to customer inquiries in a more human-like way. This can help businesses provide better customer service without the need for human agents.\n", + "5. **Data Analysis and Visualization**: Generative AI can be used to analyze large datasets and generate visualizations, such as charts and graphs, that can help businesses gain insights into their data.\n", + "6. **Predictive Maintenance**: Generative AI can be used to predict when equipment is likely to fail, allowing businesses to schedule maintenance and reduce downtime.\n", + "7. **Personalized Recommendations**: Generative AI can be used to generate personalized product recommendations based on customer behavior and preferences.\n", + "8. **Music Composition**: Generative AI can be used to compose music for various applications, such as film scores, advertisements, or even entire albums.\n", + "9. **Image and Video Generation**: Generative AI can be used to generate high-quality images and videos that can be used in various business contexts, such as product photography or marketing materials.\n", + "10. **Supply Chain Optimization**: Generative AI can be used to optimize supply chain operations, such as predicting demand, managing inventory, and identifying bottlenecks.\n", + "\n", + "Some specific industries where generative AI is being applied include:\n", + "\n", + "* **Finance**: Generative AI can be used to analyze financial data, generate investment recommendations, and even create personalized financial plans.\n", + "* **Healthcare**: Generative AI can be used to analyze medical images, generate diagnostic reports, and even develop personalized treatment plans.\n", + "* **Education**: Generative AI can be used to create personalized learning plans, generate educational content, and even grade student assignments.\n", + "\n", + "These are just a few examples of the many business applications of generative AI. As the technology continues to evolve, we can expect to see even more innovative uses across various industries.\n" + ] + } + ], + "source": [ + "import ollama\n", + "\n", + "response = ollama.chat(model=MODEL, messages=messages)\n", + "print(response['message']['content'])" + ] + }, + { + "cell_type": "markdown", + "id": "a4704e10-f5fb-4c15-a935-f046c06fb13d", + "metadata": {}, + "source": [ + "## Alternative approach - using OpenAI python library to connect to Ollama" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "23057e00-b6fc-4678-93a9-6b31cb704bff", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generative AI has numerous business applications across various industries. Here are some examples:\n", + "\n", + "1. **Content Creation**: Generative AI can be used to automate content creation, such as generating news articles, product descriptions, and social media posts. This can help businesses save time and resources while maintaining consistency in their content.\n", + "2. **Digital Marketing**: Generative AI can be used to optimize online ads, generate ad copy, and create personalized email campaigns. It can also help analyze customer data and predict their behavior, enabling more effective marketing strategies.\n", + "3. **Design and Prototyping**: Generative AI can be used to generate designs for products, such as product labels, packaging, and branding materials. It can also create prototypes and simulations, reducing the need for physical prototyping and iterative design processes.\n", + "4. **Creative Writing and Storytelling**: Generative AI can be used to co-create stories, articles, and blog posts with human writers, helping to generate ideas, outlines, and even entire pieces of content.\n", + "5. **Music Composition and Generation**: Generative AI can be used to compose music, generate sound effects, and create personalized playlists. This can help businesses like music streaming services and content creators generate original content without having to rely on human composers.\n", + "6. **Image and Video Generation**: Generative AI can be used to create high-quality images and videos for various applications, including advertising, media production, and film and television studios.\n", + "7. **Predictive Analytics and Risk Analysis**: Generative AI can be used to analyze large datasets, identify patterns, and predict outcomes, helping businesses make informed decisions about investments, customers, products, and resource allocation.\n", + "8. **Chatbots and Virtual Assistants**: Generative AI can be used to create conversational interfaces that simulate human-like interactions, making it easier for businesses to engage with their customers, provide customer support, and automate routine tasks.\n", + "9. **Materials Science and Product Development**: Generative AI can be used to design new materials, predict material behavior, and optimize product performance, enabling faster and more accurate product development cycles.\n", + "10. **Supply Chain Management and Logistics**: Generative AI can be used to analyze supply chain data, predict demand, and optimize logistics operations, helping businesses reduce costs, improve efficiency, and increase delivery times.\n", + "\n", + "These are just a few examples of the business applications of Generative AI. As the technology continues to evolve, we can expect to see even more innovative uses across various industries and sectors.\n" + ] + } + ], + "source": [ + "# There's actually an alternative approach that some people might prefer\n", + "# You can use the OpenAI client python library to call Ollama:\n", + "\n", + "from openai import OpenAI\n", + "ollama_via_openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n", + "\n", + "response = ollama_via_openai.chat.completions.create(\n", + " model=MODEL,\n", + " messages=messages\n", + ")\n", + "\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "markdown", + "id": "1622d9bb-5c68-4d4e-9ca4-b492c751f898", + "metadata": {}, + "source": [ + "# NOW the exercise for you\n", + "\n", + "Take the code from day1 and incorporate it here, to build a website summarizer that uses Llama 3.2 running locally instead of OpenAI; use either of the above approaches." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "6de38216-6d1c-48c4-877b-86d403f4e0f8", + "metadata": {}, + "outputs": [], + "source": [ + "# Some websites need you to use proper headers when fetching them:\n", + "headers = {\n", + " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", + "}\n", + "# A class to represent a Webpage\n", + "class Website:\n", + "\n", + " def __init__(self, url):\n", + " \"\"\"\n", + " Create this Website object from the given url using the BeautifulSoup library\n", + " \"\"\"\n", + " self.url = url\n", + " response = requests.get(url, headers=headers)\n", + " soup = BeautifulSoup(response.content, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n", + "\n", + "# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n", + "system_prompt = \"You are an assistant that analyzes the contents of a website \\\n", + "and provides a short summary, ignoring text that might be navigation related. \\\n", + "Respond in markdown.\"\n", + "\n", + "# A function that writes a User Prompt that asks for summaries of websites:\n", + "def user_prompt_for(website):\n", + " user_prompt = f\"You are looking at a website titled {website.title}\"\n", + " user_prompt += \"\\nThe contents of this website is as follows; \\\n", + "please provide a short summary of this website in markdown. \\\n", + "If it includes news or announcements, then summarize these too.\\n\\n\"\n", + " user_prompt += website.text\n", + " return user_prompt\n", + "\n", + "# See how this function creates exactly the format above\n", + "def messages_for(website):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", + " ]\n", + "\n", + "# Call the Ollama local API.\n", + "def summarize(url):\n", + " website = Website(url)\n", + " response = ollama_via_openai.chat.completions.create(\n", + " model = MODEL,\n", + " messages = messages_for(website)\n", + " )\n", + " return response.choices[0].message.content\n", + "\n", + "# A function to display this nicely in the Jupyter output, using markdown\n", + "def display_summary(url):\n", + " summary = summarize(url)\n", + " display(Markdown(summary))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "16277650-7925-47dc-9194-02bbb520d691", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "This appears to be a sample issue of the CNN website, showcasing various news articles and features from around the world. I'll summarize some of the top headlines:\n", + "\n", + "**World News**\n", + "\n", + "* **Pope Francis**: The Pope has passed away at the age of 96, leaving behind a legacy of service and compassion.\n", + "* **Israel-Hamas War**: The conflict between Israel and Hamas has intensified, with both sides suffering losses and a human cost.\n", + "* **Ukraine-Russia War**: Russia has returned the body of a Ukrainian journalist who died in Russian detention, sparking concerns about Russian treatment of prisoners.\n", + "\n", + "**US Politics**\n", + "\n", + "* **Trump Administration**: Former President Donald Trump is rumored to be planning a comeback, with several high-profile officials announcing their resignation or departures.\n", + "* **TSAFIR ABAVOV**: Two Israeli officials have been accused of attempting to purchase the remains of two dead Palestinian men for thousands of dollars.\n", + "\n", + "**Business and Technology**\n", + "\n", + "* **Apple Tariffs**: The US government has imposed tariffs on Chinese tech giant Apple, with CEO Tim Cook stating that the tariffs could cost the company up to $900 million this quarter.\n", + "* **Meta's AI Assistant App**: Facebook parent Meta has launched an AI assistant app, further competing with OpenAI and Google in the emerging field of digital assistants.\n", + "\n", + "**Health**\n", + "\n", + "* **Whooping Cough Outbreak**: Cases of whooping cough are rising globally, with experts warning of the need for increased vaccination efforts.\n", + "* **Forever Chemicals Research**: Researchers have made gains in understanding how to build homes using fungi as a sustainable alternative material solution.\n", + "\n", + "This is just a snapshot of some of the top news headlines from the CNN website. If you'd like to know more about any specific topic, feel free to ask!" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display_summary(\"https://cnn.com\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "86fd552d-d95c-4636-878c-86d3f6338a0c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "**Anthropic Website Summary**\n", + "==========================\n", + "\n", + "Anthropic is a company that builds AI to serve humanity's long-term well-being. They aim to create tools with human benefit at their foundation, focusing on responsible AI development.\n", + "\n", + "### News and Announcements\n", + "\n", + "* **Claude 3.7 Sonnet**: Anthropic's most intelligent AI model is now available.\n", + "\t+ Released in February 2025\n", + "* **Anthropic Economic Index**: New publication released on March 27, 2025, discussing societal impacts of large language models.\n", + "* **Alignment faking in large language models**: Blog post from December 18, 2024, exploring alignment science.\n", + "* **Introducing the Model Context Protocol**: Product update for November 25, 2024.\n", + "\n", + "### AI Research and Products\n", + "\n", + "Anthropic focuses on building powerful technologies with human benefit at their foundation. They provide various resources, including:\n", + "\n", + "* Claude, an open-source AI platform\n", + "* Anthropic Academy, a learning platform\n", + "* Research overview, featuring the Anthropic Economic Index and more\n", + "\n", + "The company's mission is to create tools that put safety at the frontier of AI development.\n", + "\n", + "### Products and Pricing\n", + "\n", + "Anthropic offers various products and pricing plans for customers, including:\n", + "\n", + "* Claude Code\n", + "* Claude team plan\n", + "* Claude enterprise plan\n", + "* Claude education plan\n", + "* Claude apps\n", + "* Pricing plans for Claude.ai" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display_summary(\"https://anthropic.com\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 08311cecb56d4148258b2df3d2c996855c7ffdef Mon Sep 17 00:00:00 2001 From: Ankit Kumar Date: Tue, 6 May 2025 14:27:16 +0530 Subject: [PATCH 20/31] day1_website_summary_mac_headless --- .../day1_website_summary_mac_headless.ipynb | 499 ++++++++++++++++++ 1 file changed, 499 insertions(+) create mode 100644 week1/community-contributions/day1_website_summary_mac_headless.ipynb diff --git a/week1/community-contributions/day1_website_summary_mac_headless.ipynb b/week1/community-contributions/day1_website_summary_mac_headless.ipynb new file mode 100644 index 0000000..dde81de --- /dev/null +++ b/week1/community-contributions/day1_website_summary_mac_headless.ipynb @@ -0,0 +1,499 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d15d8294-3328-4e07-ad16-8a03e9bbfdb9", + "metadata": {}, + "source": [ + "# YOUR FIRST LAB\n", + "### Please read this section. This is valuable to get you prepared, even if it's a long read -- it's important stuff.\n", + "\n", + "## Your first Frontier LLM Project\n", + "\n", + "Let's build a useful LLM solution - in a matter of minutes.\n", + "\n", + "By the end of this course, you will have built an autonomous Agentic AI solution with 7 agents that collaborate to solve a business problem. All in good time! We will start with something smaller...\n", + "\n", + "Our goal is to code a new kind of Web Browser. Give it a URL, and it will respond with a summary. The Reader's Digest of the internet!!\n", + "\n", + "Before starting, you should have completed the setup for [PC](../SETUP-PC.md) or [Mac](../SETUP-mac.md) and you hopefully launched this jupyter lab from within the project root directory, with your environment activated.\n", + "\n", + "## If you're new to Jupyter Lab\n", + "\n", + "Welcome to the wonderful world of Data Science experimentation! Once you've used Jupyter Lab, you'll wonder how you ever lived without it. Simply click in each \"cell\" with code in it, such as the cell immediately below this text, and hit Shift+Return to execute that cell. As you wish, you can add a cell with the + button in the toolbar, and print values of variables, or try out variations. \n", + "\n", + "I've written a notebook called [Guide to Jupyter](Guide%20to%20Jupyter.ipynb) to help you get more familiar with Jupyter Labs, including adding Markdown comments, using `!` to run shell commands, and `tqdm` to show progress.\n", + "\n", + "## If you're new to the Command Line\n", + "\n", + "Please see these excellent guides: [Command line on PC](https://chatgpt.com/share/67b0acea-ba38-8012-9c34-7a2541052665) and [Command line on Mac](https://chatgpt.com/canvas/shared/67b0b10c93a081918210723867525d2b). \n", + "\n", + "## If you'd prefer to work in IDEs\n", + "\n", + "If you're more comfortable in IDEs like VSCode or Pycharm, they both work great with these lab notebooks too. \n", + "If you'd prefer to work in VSCode, [here](https://chatgpt.com/share/676f2e19-c228-8012-9911-6ca42f8ed766) are instructions from an AI friend on how to configure it for the course.\n", + "\n", + "## If you'd like to brush up your Python\n", + "\n", + "I've added a notebook called [Intermediate Python](Intermediate%20Python.ipynb) to get you up to speed. But you should give it a miss if you already have a good idea what this code does: \n", + "`yield from {book.get(\"author\") for book in books if book.get(\"author\")}`\n", + "\n", + "## I am here to help\n", + "\n", + "If you have any problems at all, please do reach out. \n", + "I'm available through the platform, or at ed@edwarddonner.com, or at https://www.linkedin.com/in/eddonner/ if you'd like to connect (and I love connecting!) \n", + "And this is new to me, but I'm also trying out X/Twitter at [@edwarddonner](https://x.com/edwarddonner) - if you're on X, please show me how it's done 😂 \n", + "\n", + "## More troubleshooting\n", + "\n", + "Please see the [troubleshooting](troubleshooting.ipynb) notebook in this folder to diagnose and fix common problems. At the very end of it is a diagnostics script with some useful debug info.\n", + "\n", + "## If this is old hat!\n", + "\n", + "If you're already comfortable with today's material, please hang in there; you can move swiftly through the first few labs - we will get much more in depth as the weeks progress.\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Please read - important note

\n", + " The way I collaborate with you may be different to other courses you've taken. I prefer not to type code while you watch. Rather, I execute Jupyter Labs, like this, and give you an intuition for what's going on. My suggestion is that you carefully execute this yourself, after watching the lecture. Add print statements to understand what's going on, and then come up with your own variations. If you have a Github account, use this to showcase your variations. Not only is this essential practice, but it demonstrates your skills to others, including perhaps future clients or employers...\n", + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Treat these labs as a resource

\n", + " I push updates to the code regularly. When people ask questions or have problems, I incorporate it in the code, adding more examples or improved commentary. As a result, you'll notice that the code below isn't identical to the videos. Everything from the videos is here; but in addition, I've added more steps and better explanations, and occasionally added new models like DeepSeek. Consider this like an interactive book that accompanies the lectures.\n", + " \n", + "
\n", + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Business value of these exercises

\n", + " A final thought. While I've designed these notebooks to be educational, I've also tried to make them enjoyable. We'll do fun things like have LLMs tell jokes and argue with each other. But fundamentally, my goal is to teach skills you can apply in business. I'll explain business implications as we go, and it's worth keeping this in mind: as you build experience with models and techniques, think of ways you could put this into action at work today. Please do contact me if you'd like to discuss more or if you have ideas to bounce off me.\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n", + "\n", + "# If you get an error running this cell, then please head over to the troubleshooting notebook!" + ] + }, + { + "cell_type": "markdown", + "id": "6900b2a8-6384-4316-8aaa-5e519fca4254", + "metadata": {}, + "source": [ + "# Connecting to OpenAI (or Ollama)\n", + "\n", + "The next cell is where we load in the environment variables in your `.env` file and connect to OpenAI. \n", + "\n", + "If you'd like to use free Ollama instead, please see the README section \"Free Alternative to Paid APIs\", and if you're not sure how to do this, there's a full solution in the solutions folder (day1_with_ollama.ipynb).\n", + "\n", + "## Troubleshooting if you have problems:\n", + "\n", + "Head over to the [troubleshooting](troubleshooting.ipynb) notebook in this folder for step by step code to identify the root cause and fix it!\n", + "\n", + "If you make a change, try restarting the \"Kernel\" (the python process sitting behind this notebook) by Kernel menu >> Restart Kernel and Clear Outputs of All Cells. Then try this notebook again, starting at the top.\n", + "\n", + "Or, contact me! Message me or email ed@edwarddonner.com and we will get this to work.\n", + "\n", + "Any concerns about API costs? See my notes in the README - costs should be minimal, and you can control it at every point. You can also use Ollama as a free alternative, which we discuss during Day 2." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b87cadb-d513-4303-baee-a37b6f938e4d", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "019974d9-f3ad-4a8a-b5f9-0a3719aea2d3", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI(base_url=\"http://localhost:11434/v1\", api_key=\"ollama\")\n", + "\n", + "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n", + "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" + ] + }, + { + "cell_type": "markdown", + "id": "442fc84b-0815-4f40-99ab-d9a5da6bda91", + "metadata": {}, + "source": [ + "# Let's make a quick call to a Frontier model to get started, as a preview!" + ] + }, + { + "cell_type": "markdown", + "id": "c951be1a-7f1b-448f-af1f-845978e47e2c", + "metadata": {}, + "source": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Business applications

\n", + " In this exercise, you experienced calling the Cloud API of a Frontier Model (a leading model at the frontier of AI) for the first time. We will be using APIs like OpenAI at many stages in the course, in addition to building our own LLMs.\n", + "\n", + "More specifically, we've applied this to Summarization - a classic Gen AI use case to make a summary. This can be applied to any business vertical - summarizing the news, summarizing financial performance, summarizing a resume in a cover letter - the applications are limitless. Consider how you could apply Summarization in your business, and try prototyping a solution.\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Before you continue - now try yourself

\n", + " Use the cell below to make your own simple commercial example. Stick with the summarization use case for now. Here's an idea: write something that will take the contents of an email, and will suggest an appropriate short subject line for the email. That's the kind of feature that might be built into a commercial email tool.\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "00743dac-0e70-45b7-879a-d7293a6f68a6", + "metadata": {}, + "outputs": [], + "source": [ + "# Step 1: Create your prompts\n", + "\n", + "system_prompt = \"You're an AI assistant who suggests subject line for the given email content \\\n", + " by ignoring greetings, sign-offs, and other irrelevant text. You suggest 5 best subject lines, starting with best fitting\" \\\n", + "\"\"\n", + "user_prompt = \"\"\"\n", + " Suggest 3 subject lines for the given email content in markdown. \\\n", + " Give the fit percentage of each subject line as well. \\\n", + " Give tone of the mail, action items, purpose of the mail.\\n\\n\"\n", + "\"\"\"\n", + "\n", + "# Step 2: Make the messages list\n", + "\n", + "messages = [\"\"\"Dear Sir/Madam,\n", + "\n", + "I am Ankit Kumari, currently pursuing my Online MCA from Lovely Professional University. I am writing this email to express my concern regarding the scheduling of the online classes for the current semester.\n", + "\n", + "During the time of admission, it was conveyed to us that the online classes for the program would be conducted on weekends to ensure that working professionals like me can easily manage their work and studies. However, to my surprise, the classes for this semester have been scheduled on weekdays, which is not convenient for students who are working or have businesses.\n", + "\n", + "As a working professional, I find it difficult to balance my job responsibilities and attend the classes regularly on weekdays. Similarly, there are many students who are facing a similar issue. Therefore, I would like to request you to kindly reschedule the classes and conduct them on weekends as was initially promised during the admission process.\n", + "\n", + "I believe that conducting the classes on weekends would help students like me to balance their work and studies in a better way, and would also result in better attendance and improved learning outcomes.\n", + "\n", + "I hope that my request would be taken into consideration, and appropriate steps would be taken to ensure that the classes are conducted on weekends as promised during the admission process.\n", + "\n", + "Thank you for your understanding.\n", + "\n", + "Sincerely,\n", + "\n", + "Ankit Kumar \"\"\",\n", + "\"\"\"Hi team,\n", + "It is to inform you that i've studied computer science in my graduation i.e. bsc physical science eoth computer science, but still i'm seeing bridge courses i.e. ecap010 and acap011 in my timetable.\n", + "Therefore, I knidly request you to look into this matter.\n", + "\n", + "Best Regards\n", + "Ankit Kumar\n", + "\"\"\",] # fill this in\n", + "\n", + "# Step 3: Call OpenAI\n", + "\n", + "responses = [openai.chat.completions.create(\n", + " model=\"llama3.2\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt+message},\n", + " ]\n", + ") for message in messages\n", + "]\n", + "# Step 4: print the result\n", + "responses = [response.choices[0].message.content for response in responses]\n", + "for response in responses:\n", + " display(Markdown(response))" + ] + }, + { + "cell_type": "markdown", + "id": "36ed9f14-b349-40e9-a42c-b367e77f8bda", + "metadata": {}, + "source": [ + "## An extra exercise for those who enjoy web scraping\n", + "\n", + "You may notice that if you try `display_summary(\"https://openai.com\")` - it doesn't work! That's because OpenAI has a fancy website that uses Javascript. There are many ways around this that some of you might be familiar with. For example, Selenium is a hugely popular framework that runs a browser behind the scenes, renders the page, and allows you to query it. If you have experience with Selenium, Playwright or similar, then feel free to improve the Website class to use them. In the community-contributions folder, you'll find an example Selenium solution from a student (thank you!)" + ] + }, + { + "cell_type": "markdown", + "id": "eeab24dc-5f90-4570-b542-b0585aca3eb6", + "metadata": {}, + "source": [ + "# Sharing your code\n", + "\n", + "I'd love it if you share your code afterwards so I can share it with others! You'll notice that some students have already made changes (including a Selenium implementation) which you will find in the community-contributions folder. If you'd like add your changes to that folder, submit a Pull Request with your new versions in that folder and I'll merge your changes.\n", + "\n", + "If you're not an expert with git (and I am not!) then GPT has given some nice instructions on how to submit a Pull Request. It's a bit of an involved process, but once you've done it once it's pretty clear. As a pro-tip: it's best if you clear the outputs of your Jupyter notebooks (Edit >> Clean outputs of all cells, and then Save) for clean notebooks.\n", + "\n", + "Here are good instructions courtesy of an AI friend: \n", + "https://chatgpt.com/share/677a9cb5-c64c-8012-99e0-e06e88afd293" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "175ca116", + "metadata": {}, + "outputs": [], + "source": [ + "from selenium import webdriver\n", + "from selenium.webdriver.chrome.options import Options\n", + "from selenium.webdriver.chrome.service import Service\n", + "from selenium.webdriver.support.ui import WebDriverWait\n", + "from selenium.webdriver.support import expected_conditions as EC\n", + "from selenium.webdriver.common.by import By\n", + "from bs4 import BeautifulSoup\n", + "from openai import OpenAI\n", + "from IPython.display import Markdown, display\n", + "import platform\n", + "\n", + "class JSWebsite:\n", + " def __init__(self, url, model=\"llama3.2\", headless=True, wait_time=5):\n", + " \"\"\"\n", + " @Param url: The URL of the website to scrape\n", + " @Param model: The model to use for summarization. Valid values are \"gpt-4o-mini\" and \"llama3.2\"\n", + " @Param headless: Whether to run the browser in headless mode\n", + " @Param wait_time: Additional seconds to wait for JavaScript content to load\n", + " \"\"\"\n", + " self.url = url\n", + " self.model = model\n", + " self.wait_time = wait_time\n", + " \n", + " # Validate model choice\n", + " assert model in [\"gpt-4o-mini\", \"llama3.2\"], f\"Invalid model: {model}. Valid models are 'gpt-4o-mini' and 'llama3.2'.\"\n", + " \n", + " # Initialize appropriate API client\n", + " if \"gpt\" in model:\n", + " self.openai = OpenAI()\n", + " elif \"llama\" in model:\n", + " self.openai = OpenAI(base_url=\"http://localhost:11434/v1\", api_key=\"ollama\")\n", + " \n", + " # Set up Chrome options with platform-specific settings\n", + " options = Options()\n", + " \n", + " if headless:\n", + " # Use appropriate headless setting based on platform\n", + " if platform.system() == \"Darwin\": # macOS\n", + " options.add_argument(\"--headless=chrome\") # macOS-friendly headless mode\n", + " else:\n", + " options.add_argument(\"--headless=new\") # Modern headless for other platforms\n", + " \n", + " # These settings help with headless JavaScript rendering\n", + " options.add_argument(\"--disable-web-security\")\n", + " options.add_argument(\"--allow-running-insecure-content\")\n", + " options.add_argument(\"--disable-setuid-sandbox\")\n", + " \n", + " # Add a user agent to look more like a real browser\n", + " # options.add_argument(\"--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36\")\n", + " # options.add_argument(\"--user-agent=Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.7103.49 Safari/537.36\")\n", + " options.add_argument(\"--user-agent=Mozilla/5.0 (Macintosh; Apple Silicon Mac OS X 14_3_1) AppleWebKit/605.1.15 (KHTML, like Gecko) Chrome/136.0.7103.49 Safari/537.36\")\n", + "\n", + "\n", + " \n", + " options.add_argument(\"--disable-gpu\")\n", + " options.add_argument(\"--window-size=1920,1080\")\n", + " options.add_argument(\"--disable-blink-features=AutomationControlled\")\n", + " options.add_argument(\"--disable-infobars\")\n", + " options.add_argument(\"--disable-extensions\")\n", + " options.add_argument(\"--start-maximized\")\n", + " options.add_argument(\"--no-sandbox\")\n", + " options.add_argument(\"--disable-dev-shm-usage\")\n", + " \n", + " try:\n", + " # Initialize Chrome driver\n", + " driver = webdriver.Chrome(options=options)\n", + " driver.get(url)\n", + " \n", + " # Wait for the page to load\n", + " WebDriverWait(driver, 10).until(\n", + " EC.presence_of_element_located((By.TAG_NAME, \"body\"))\n", + " )\n", + " \n", + " # Get the page source and close the browser\n", + " html = driver.page_source\n", + " driver.quit()\n", + " \n", + " # Parse HTML with BeautifulSoup\n", + " soup = BeautifulSoup(html, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " \n", + " # Remove irrelevant elements\n", + " if soup.body:\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n", + " # Check if content is too short, which might indicate loading issues\n", + " if len(self.text.strip()) < 100:\n", + " self.has_content_error = True\n", + " print(\"Warning: Page content seems too short or empty\")\n", + " else:\n", + " self.has_content_error = False\n", + " else:\n", + " self.text = \"No body content found\"\n", + " self.has_content_error = True\n", + " \n", + " except Exception as e:\n", + " print(f\"Error processing page: {e}\")\n", + " self.title = \"Error loading page\"\n", + " self.text = f\"Failed to process page: {str(e)}\"\n", + " self.has_content_error = True\n", + "\n", + " def summarize(self):\n", + " \"\"\"Generate a summary of the website content using the specified AI model.\"\"\"\n", + " # Check if page was loaded with errors\n", + " if hasattr(self, 'has_content_error') and self.has_content_error:\n", + " self.summary = \"Cannot summarize due to page loading or content errors.\"\n", + " return self.summary\n", + " \n", + " try:\n", + " response = self.openai.chat.completions.create(\n", + " model=self.model,\n", + " messages=self.messages_for()\n", + " )\n", + " self.summary = response.choices[0].message.content\n", + " return self.summary\n", + " except Exception as e:\n", + " self.summary = f\"Error generating summary: {str(e)}\"\n", + " return self.summary\n", + "\n", + " def messages_for(self):\n", + " \"\"\"Create the message structure for the AI model.\"\"\"\n", + " self.system_prompt = (\n", + " \"You are an assistant that analyzes the contents of a website \"\n", + " \"and provides a short summary, ignoring text that might be navigation related. \"\n", + " \"Respond in markdown.\"\n", + " )\n", + " return [\n", + " {\"role\": \"system\", \"content\": self.system_prompt},\n", + " {\"role\": \"user\", \"content\": self.user_prompt_for()}\n", + " ]\n", + "\n", + " def display_summary(self):\n", + " \"\"\"Display the summary in markdown format.\"\"\"\n", + " if hasattr(self, 'summary'):\n", + " display(Markdown(self.summary))\n", + " else:\n", + " print(\"Please run the summarize() method first.\")\n", + "\n", + " def user_prompt_for(self):\n", + " \"\"\"Create the user prompt for the AI model.\"\"\"\n", + " user_prompt = f\"You are looking at a website titled {self.title}\\n\"\n", + " user_prompt += (\n", + " \"The contents of this website is as follows; \"\n", + " \"please provide a short summary of this website in markdown. \"\n", + " \"If it includes news or announcements, then summarize these too.\\n\\n\"\n", + " )\n", + " user_prompt += self.text\n", + " return user_prompt\n", + "\n", + "\n", + "# Example usage\n", + "if __name__ == \"__main__\":\n", + " # Site to test\n", + " site = JSWebsite(\"https://openai.com\", model=\"llama3.2\", headless=True, wait_time=15)\n", + " \n", + " # Only attempt to summarize if there were no content errors\n", + " summary = site.summarize()\n", + " \n", + " # Display results\n", + " if hasattr(site, 'has_content_error') and site.has_content_error:\n", + " print(\"Skipped summarization due to page loading or content errors.\")\n", + " print(\"Try with headless=False to see what's happening in the browser.\")\n", + " else:\n", + " site.display_summary()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "102d19b6", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llms", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 43677505701b15d2c607d9b42e1b9d69a32a0916 Mon Sep 17 00:00:00 2001 From: Dan Palade Date: Tue, 6 May 2025 17:20:02 -0700 Subject: [PATCH 21/31] Added my contribution to week2 with a great working notebook that contains booking, translation to 6 languages and speech-to-text functionality --- .../week2-exercise-btsp.ipynb | 581 ++++++++++++++++++ 1 file changed, 581 insertions(+) create mode 100644 week2/community-contributions/week2-exercise-btsp.ipynb diff --git a/week2/community-contributions/week2-exercise-btsp.ipynb b/week2/community-contributions/week2-exercise-btsp.ipynb new file mode 100644 index 0000000..a9f849e --- /dev/null +++ b/week2/community-contributions/week2-exercise-btsp.ipynb @@ -0,0 +1,581 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ddfa9ae6-69fe-444a-b994-8c4c5970a7ec", + "metadata": {}, + "source": [ + "# Week 2 Exercise - with Booking, Translation and Speech-To-Text" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8ccbf174-a724-46a8-9db4-addd249923a0", + "metadata": {}, + "outputs": [], + "source": [ + "# Note: The speech-to-text functionality requires FFmpeg to be installed. Go to FFmpeg website and downoad the corresponding OS installer.\n", + "# !pip install openai-whisper sounddevice scipy numpy" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8b50bbe2-c0b1-49c3-9a5c-1ba7efa2bcb4", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import json\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import gradio as gr\n", + "from anthropic import Anthropic\n", + "import numpy as np\n", + "import sounddevice as sd\n", + "import scipy.io.wavfile as wav\n", + "import tempfile\n", + "import whisper" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "747e8786-9da8-4342-b6c9-f5f69c2e22ae", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialization\n", + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", + "# Initialize clients\n", + "MODEL = \"gpt-4o-mini\"\n", + "STT_DURATION = 3\n", + "openai = OpenAI()\n", + "anthropic = Anthropic(api_key=anthropic_api_key)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0a521d84-d07c-49ab-a0df-d6451499ed97", + "metadata": {}, + "outputs": [], + "source": [ + "system_message = \"You are a helpful assistant for an Airline called FlightAI. \"\n", + "system_message += \"Give short, courteous answers, no more than 1 sentence. \"\n", + "system_message += \"Always be accurate. If you don't know the answer, say so.\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0696acb1-0b05-4dc2-80d5-771be04f1fb2", + "metadata": {}, + "outputs": [], + "source": [ + "# get ticket price function\n", + "\n", + "ticket_prices = {\"london\": \"$799\", \"paris\": \"$899\", \"tokyo\": \"$1400\", \"berlin\": \"$499\", \"rome\": \"$699\", \"bucharest\": \"$949\", \"moscow\": \"$1199\"}\n", + "\n", + "def get_ticket_price(destination_city):\n", + " print(f\"Tool get_ticket_price called for {destination_city}\")\n", + " city = destination_city.lower()\n", + " return ticket_prices.get(city, \"Unknown\")\n", + "\n", + "# create booking function\n", + "import random\n", + "\n", + "def create_booking(destination_city):\n", + " # Generate a random 6-digit number\n", + " digits = ''.join([str(random.randint(0, 9)) for _ in range(6)]) \n", + " booking_number = f\"AI{digits}\"\n", + " \n", + " # Print the booking confirmation message\n", + " print(f\"Booking {booking_number} created for the flight to {destination_city}\")\n", + " \n", + " return booking_number" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4afceded-7178-4c05-8fa6-9f2085e6a344", + "metadata": {}, + "outputs": [], + "source": [ + "# price function structure:\n", + "\n", + "price_function = {\n", + " \"name\": \"get_ticket_price\",\n", + " \"description\": \"Get the price of a return ticket to the destination city. Call this whenever you need to know the ticket price, for example when a customer asks 'How much is a ticket to this city'\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"destination_city\": {\n", + " \"type\": \"string\",\n", + " \"description\": \"The city that the customer wants to travel to\",\n", + " },\n", + " },\n", + " \"required\": [\"destination_city\"],\n", + " \"additionalProperties\": False\n", + " }\n", + "}\n", + "\n", + "# booking function structure:\n", + "booking_function = {\n", + " \"name\": \"make_booking\",\n", + " \"description\": \"Make a flight booking for the customer. Call this whenever a customer wants to book a flight to a destination.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"destination_city\": {\n", + " \"type\": \"string\",\n", + " \"description\": \"The city that the customer wants to travel to\",\n", + " },\n", + " },\n", + " \"required\": [\"destination_city\"],\n", + " \"additionalProperties\": False\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bdca8679-935f-4e7f-97e6-e71a4d4f228c", + "metadata": {}, + "outputs": [], + "source": [ + "# List of tools:\n", + "\n", + "tools = [\n", + " {\"type\": \"function\", \"function\": price_function},\n", + " {\"type\": \"function\", \"function\": booking_function}\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0992986-ea09-4912-a076-8e5603ee631f", + "metadata": {}, + "outputs": [], + "source": [ + "# Function handle_tool_call:\n", + "\n", + "def handle_tool_call(message):\n", + " tool_call = message.tool_calls[0]\n", + " function_name = tool_call.function.name\n", + " arguments = json.loads(tool_call.function.arguments)\n", + " \n", + " if function_name == \"get_ticket_price\":\n", + " city = arguments.get('destination_city')\n", + " price = get_ticket_price(city)\n", + " response = {\n", + " \"role\": \"tool\",\n", + " \"content\": json.dumps({\"destination_city\": city,\"price\": price}),\n", + " \"tool_call_id\": tool_call.id\n", + " }\n", + " return response, city\n", + " elif function_name == \"make_booking\":\n", + " city = arguments.get('destination_city')\n", + " booking_number = create_booking(city)\n", + " response = {\n", + " \"role\": \"tool\",\n", + " \"content\": json.dumps({\"destination_city\": city, \"booking_number\": booking_number}),\n", + " \"tool_call_id\": tool_call.id\n", + " }\n", + " return response, city" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "773a9f11-557e-43c9-ad50-56cbec3a0f8f", + "metadata": {}, + "outputs": [], + "source": [ + "# Image generation\n", + "\n", + "import base64\n", + "from io import BytesIO\n", + "from PIL import Image\n", + "\n", + "def artist(city, testing_mode=False):\n", + " if testing_mode:\n", + " print(f\"Image generation skipped for {city} - in testing mode\")\n", + " return None\n", + " \n", + " image_response = openai.images.generate(\n", + " model=\"dall-e-3\",\n", + " prompt=f\"An image representing a vacation in {city}, showing tourist spots and everything unique about {city}, in a realistic style\",\n", + " size=\"1024x1024\",\n", + " n=1,\n", + " response_format=\"b64_json\",\n", + " )\n", + " image_base64 = image_response.data[0].b64_json\n", + " image_data = base64.b64decode(image_base64)\n", + " return Image.open(BytesIO(image_data))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d1519a8-98ed-4673-ade0-aaba6341f155", + "metadata": {}, + "outputs": [], + "source": [ + "# Text to speech \n", + "\n", + "import base64\n", + "from io import BytesIO\n", + "from PIL import Image\n", + "from IPython.display import Audio, display\n", + "\n", + "def talker(message, testing_mode=False):\n", + " \"\"\"Generate speech from text and return the path to the audio file for Gradio to play\"\"\"\n", + " if testing_mode:\n", + " print(f\"Text-to-speech skipped - in testing mode\")\n", + " return None\n", + " \n", + " try:\n", + " response = openai.audio.speech.create(\n", + " model=\"tts-1\",\n", + " voice=\"onyx\",\n", + " input=message)\n", + "\n", + " # Save to a unique filename based on timestamp to avoid caching issues\n", + " import time\n", + " timestamp = int(time.time())\n", + " output_filename = f\"output_audio_{timestamp}.mp3\"\n", + " \n", + " with open(output_filename, \"wb\") as f:\n", + " f.write(response.content)\n", + " \n", + " print(f\"Audio saved to {output_filename}\")\n", + " return output_filename\n", + " except Exception as e:\n", + " print(f\"Error generating speech: {e}\")\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "68149e08-d2de-4790-914a-6def79ff5612", + "metadata": {}, + "outputs": [], + "source": [ + "# Speech to text function\n", + "\n", + "def recorder_and_transcriber(duration=STT_DURATION, samplerate=16000, testing_mode=False):\n", + " \"\"\"Record audio for the specified duration and transcribe it using Whisper\"\"\"\n", + " if testing_mode:\n", + " print(\"Speech-to-text skipped - in testing mode\")\n", + " return \"This is a test speech input\"\n", + " \n", + " print(f\"Recording for {duration} seconds...\")\n", + " \n", + " # Record audio using sounddevice\n", + " recording = sd.rec(int(duration * samplerate), samplerate=samplerate, channels=1, dtype='float32')\n", + " sd.wait() # Wait until recording is finished\n", + " \n", + " # Save the recording to a temporary WAV file\n", + " with tempfile.NamedTemporaryFile(suffix=\".wav\", delete=False) as temp_audio:\n", + " temp_filename = temp_audio.name\n", + " wav.write(temp_filename, samplerate, recording)\n", + " \n", + " # Load Whisper model and transcribe\n", + " model = whisper.load_model(\"base\") # You can use \"tiny\", \"base\", \"small\", \"medium\", or \"large\"\n", + " result = model.transcribe(temp_filename)\n", + " \n", + " # Clean up the temporary file\n", + " import os\n", + " os.unlink(temp_filename)\n", + " \n", + " return result[\"text\"].strip()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf1d5600-8df8-4cc2-8bf5-b0b33818b385", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import glob\n", + "\n", + "def cleanup_audio_files():\n", + " \"\"\"Delete all MP3 files in the current directory that match our output pattern\"\"\"\n", + " \n", + " # Get all mp3 files that match our naming pattern\n", + " mp3_files = glob.glob(\"output_audio_*.mp3\")\n", + " \n", + " # Delete each file\n", + " count = 0\n", + " for file in mp3_files:\n", + " try:\n", + " os.remove(file)\n", + " count += 1\n", + " except Exception as e:\n", + " print(f\"Error deleting {file}: {e}\")\n", + " \n", + " print(f\"Cleaned up {count} audio files\")\n", + " return None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44a6f8e0-c111-4e40-a5ae-68dd0aa9f65d", + "metadata": {}, + "outputs": [], + "source": [ + "# Translation function\n", + "\n", + "def translate_text(text, target_language):\n", + " if not text or not target_language:\n", + " return \"\"\n", + " \n", + " # Map the language dropdown values to language names for Claude\n", + " language_map = {\n", + " \"French\": \"French\",\n", + " \"Spanish\": \"Spanish\",\n", + " \"German\": \"German\",\n", + " \"Italian\": \"Italian\",\n", + " \"Russian\": \"Russian\",\n", + " \"Romanian\": \"Romanian\"\n", + " }\n", + " \n", + " full_language_name = language_map.get(target_language, \"French\")\n", + " \n", + " try:\n", + " response = anthropic.messages.create(\n", + " model=\"claude-3-haiku-20240307\",\n", + " max_tokens=1024,\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": f\"Translate the following text to {full_language_name}. Provide only the translation, no explanations: \\n\\n{text}\"\n", + " }\n", + " ]\n", + " )\n", + " return response.content[0].text\n", + " except Exception as e:\n", + " print(f\"Translation error: {e}\")\n", + " return f\"[Translation failed: {str(e)}]\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba820c95-02f5-499e-8f3c-8727ee0a6c0c", + "metadata": {}, + "outputs": [], + "source": [ + "def chat(history, image, testing_mode=False):\n", + " messages = [{\"role\": \"system\", \"content\": system_message}] + history\n", + " response = openai.chat.completions.create(model=MODEL, messages=messages, tools=tools) \n", + " \n", + " if response.choices[0].finish_reason==\"tool_calls\":\n", + " message = response.choices[0].message\n", + " response, city = handle_tool_call(message)\n", + " messages.append(message)\n", + " messages.append(response)\n", + " \n", + " # Only generate image if not in testing mode\n", + " if not testing_mode and image is None:\n", + " image = artist(city, testing_mode)\n", + " \n", + " response = openai.chat.completions.create(model=MODEL, messages=messages)\n", + " \n", + " reply = response.choices[0].message.content\n", + " history += [{\"role\":\"assistant\", \"content\":reply}] \n", + "\n", + " # Return the reply directly - we'll handle TTS separately\n", + " return history, image, reply" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3cc58f3-d0fc-47d1-b9cf-e5bf4c5edbdc", + "metadata": {}, + "outputs": [], + "source": [ + "# Function to translate conversation history\n", + "def translate_history(history, target_language):\n", + " if not history or not target_language:\n", + " return []\n", + " \n", + " translated_history = []\n", + " \n", + " for msg in history:\n", + " role = msg[\"role\"]\n", + " content = msg[\"content\"]\n", + " \n", + " translated_content = translate_text(content, target_language)\n", + " translated_history.append({\"role\": role, \"content\": translated_content})\n", + " \n", + " return translated_history" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f38d0d27-33bf-4992-a2e5-5dbed973cde7", + "metadata": {}, + "outputs": [], + "source": [ + "# Update the Gradio interface to handle audio output properly\n", + "def update_gradio_interface():\n", + " with gr.Blocks() as ui:\n", + " # Store chat history and audio output in state\n", + " state = gr.State([])\n", + " audio_state = gr.State(None)\n", + " \n", + " with gr.Row():\n", + " testing_checkbox = gr.Checkbox(label=\"Testing\", info=\"Turn off multimedia features when checked\", value=False)\n", + " \n", + " with gr.Row():\n", + " with gr.Column(scale=2):\n", + " # Main panel with original chat and image\n", + " with gr.Row():\n", + " with gr.Column(scale=1):\n", + " with gr.Row():\n", + " chatbot = gr.Chatbot(height=300, type=\"messages\")\n", + " with gr.Row():\n", + " language_dropdown = gr.Dropdown(\n", + " choices=[\"French\", \"Spanish\", \"German\", \"Italian\", \"Russian\", \"Romanian\"],\n", + " value=\"French\",\n", + " label=\"Translation to\"\n", + " )\n", + " with gr.Row():\n", + " translation_output = gr.Chatbot(height=200, type=\"messages\", label=\"Translated chat\")\n", + " with gr.Column(scale=1):\n", + " with gr.Row():\n", + " image_output = gr.Image(height=620)\n", + " with gr.Row():\n", + " audio_output = gr.Audio(label=\"Assistant's Voice\", visible=False, autoplay=True, type=\"filepath\")\n", + " \n", + " with gr.Row():\n", + " entry = gr.Textbox(label=\"Chat with our AI Assistant:\")\n", + " \n", + " with gr.Row():\n", + " with gr.Column(scale=1):\n", + " with gr.Row():\n", + " md = gr.Markdown()\n", + " with gr.Column(scale=1):\n", + " speak_button = gr.Button(value=\"🎤 Speak Command\", variant=\"primary\")\n", + " with gr.Column(scale=1):\n", + " with gr.Row():\n", + " md = gr.Markdown()\n", + " with gr.Column(scale=1): \n", + " with gr.Row():\n", + " clear = gr.Button(value=\"Clear\", variant=\"secondary\")\n", + " with gr.Column(scale=1):\n", + " with gr.Row():\n", + " md = gr.Markdown()\n", + "\n", + " # Function to handle speech input\n", + " def do_speech_input(testing_mode):\n", + " # Record and transcribe speech\n", + " speech_text = recorder_and_transcriber(duration=STT_DURATION, testing_mode=testing_mode)\n", + " return speech_text\n", + " \n", + " # Function to handle user input\n", + " def do_entry(message, history, testing_mode):\n", + " history += [{\"role\":\"user\", \"content\":message}]\n", + " return \"\", history\n", + " \n", + " # Function to handle translation updates\n", + " def do_translation(history, language):\n", + " translated = translate_history(history, language)\n", + " return translated\n", + " \n", + " # Function to handle text-to-speech\n", + " def do_tts(reply, testing_mode):\n", + " if not reply or testing_mode:\n", + " return None\n", + " \n", + " audio_file = talker(reply, testing_mode)\n", + " return audio_file\n", + " \n", + " # Handle user message submission\n", + " entry.submit(do_entry, inputs=[entry, chatbot, testing_checkbox], outputs=[entry, chatbot]).then(\n", + " chat, inputs=[chatbot, image_output, testing_checkbox], outputs=[chatbot, image_output, audio_state]\n", + " ).then(\n", + " do_tts, inputs=[audio_state, testing_checkbox], outputs=[audio_output]\n", + " ).then(\n", + " do_translation, inputs=[chatbot, language_dropdown], outputs=[translation_output]\n", + " )\n", + " \n", + " # Add speech button handling\n", + " speak_button.click(\n", + " do_speech_input, \n", + " inputs=[testing_checkbox], \n", + " outputs=[entry]\n", + " ).then(\n", + " do_entry, \n", + " inputs=[entry, chatbot, testing_checkbox], \n", + " outputs=[entry, chatbot]\n", + " ).then(\n", + " chat, \n", + " inputs=[chatbot, image_output, testing_checkbox], \n", + " outputs=[chatbot, image_output, audio_state]\n", + " ).then(\n", + " do_tts, inputs=[audio_state, testing_checkbox], outputs=[audio_output]\n", + " ).then(\n", + " do_translation, \n", + " inputs=[chatbot, language_dropdown], \n", + " outputs=[translation_output]\n", + " )\n", + " \n", + " # Update translation when language is changed\n", + " language_dropdown.change(do_translation, inputs=[chatbot, language_dropdown], outputs=[translation_output])\n", + " \n", + " # Handle clear button\n", + " def clear_all():\n", + " # Clean up audio files\n", + " cleanup_audio_files()\n", + " # Return None for all outputs to clear the UI\n", + " return None, None, None, None\n", + " \n", + " clear.click(clear_all, inputs=None, outputs=[chatbot, translation_output, image_output, audio_output], queue=False)\n", + "\n", + " return ui\n", + "\n", + "# Replace the original ui code with this:\n", + "ui = update_gradio_interface()\n", + "ui.launch(inbrowser=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 139188cede861c83d986f6236cb5c4a245549995 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E3=82=A6=E3=82=A8=E3=82=B9=E3=83=AA=E3=83=BC?= Date: Tue, 6 May 2025 19:15:37 -0700 Subject: [PATCH 22/31] my community contribution for week 2 day 1 --- .../day1-3-fellers-on-the-pequod.ipynb | 268 ++++++++++++++++++ 1 file changed, 268 insertions(+) create mode 100644 week2/community-contributions/day1-3-fellers-on-the-pequod.ipynb diff --git a/week2/community-contributions/day1-3-fellers-on-the-pequod.ipynb b/week2/community-contributions/day1-3-fellers-on-the-pequod.ipynb new file mode 100644 index 0000000..81d325d --- /dev/null +++ b/week2/community-contributions/day1-3-fellers-on-the-pequod.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3637910d-2c6f-4f19-b1fb-2f916d23f9ac", + "metadata": {}, + "source": [ + "# More advanced exercises\n", + "\n", + "Try creating a 3-way, perhaps bringing Gemini into the conversation! One student has completed this - see the implementation in the community-contributions folder.\n", + "\n", + "Try doing this yourself before you look at the solutions. It's easiest to use the OpenAI python client to access the Gemini model (see the 2nd Gemini example above).\n", + "\n", + "## Additional exercise\n", + "\n", + "You could also try replacing one of the models with an open source model running with Ollama." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55044f9c-f444-4e35-b4c5-ef18abe26be4", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "from IPython.display import Markdown, display, update_display" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d4dd1aa-664e-4c18-adaf-85610a39e494", + "metadata": {}, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "# Print the key prefixes to help with any debugging\n", + "\n", + "load_dotenv(override=True)\n", + "openai_api_key = os.getenv('OPENAI_API_KEY')\n", + "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", + "google_api_key = os.getenv('GOOGLE_API_KEY')\n", + "\n", + "if openai_api_key:\n", + " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", + "else:\n", + " print(\"OpenAI API Key not set\")\n", + " \n", + "if anthropic_api_key:\n", + " print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n", + "else:\n", + " print(\"Anthropic API Key not set\")\n", + "\n", + "if google_api_key:\n", + " print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n", + "else:\n", + " print(\"Google API Key not set\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bcb54183-45d3-4d08-b5b6-55e380dfdf1b", + "metadata": {}, + "outputs": [], + "source": [ + "# Let's make a conversation between GPT-4o-mini and Claude-3-haiku\n", + "# We're using cheap versions of models so the costs will be minimal\n", + "\n", + "gpt_model = \"gpt-4o-mini\"\n", + "claude_model = \"claude-3-haiku-20240307\"\n", + "gemini_model = \"gemini-2.0-flash\"\n", + "\n", + "gpt_system = \"You are third mate of the whaling ship Pequod. Your name is Flask. \\\n", + "You approach the practice of whaling as if trying to avenge some deep offense the whales have done to you. \\\n", + "You are chatting with Starbuck (the chief mate) and Ishmail (an oarsman)\"\n", + "\n", + "claude_system = \"You are the chief mate of the whaling ship Pequod. You are a thoughtful and intellectual \\\n", + "Quaker from Nantucket who considers it madness to want revenge on an animal. \\\n", + "You are chatting with two other users named Flask (the third mate) and Ishmail (an oarsman). Your name is Starbuck.\"\n", + "\n", + "gemini_system = \"You are an oarsman on the Pequod (a whaling ship). You are interested in the history and mechanics \\\n", + "of whaling and attempt to promote the nobility of the trade. \\\n", + "You are chatting with two users named Flask (third mate) and Starbuck (the chief mate). Your name is Ishmail\"\n", + "\n", + "gpt_messages = [\"Flask: Hi there\"]\n", + "claude_messages = [\"Starbuck: Hi\"]\n", + "gemini_messages = [\"Ishmail: Ahoy\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3d08df6-a85b-4851-a7f9-83d024db729e", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "gemini = OpenAI(\n", + " api_key=google_api_key, \n", + " base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1df47dc7-b445-4852-b21b-59f0e6c2030f", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gpt():\n", + " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", + " for gpt_message, claude_message, gemini_message in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"assistant\", \"content\": gpt_message})\n", + " messages.append({\"role\": \"user\", \"content\": claude_message})\n", + " messages.append({\"role\": \"user\", \"content\": gemini_message})\n", + " \n", + " completion = openai.chat.completions.create(\n", + " model=gpt_model,\n", + " messages=messages\n", + " )\n", + " return completion.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9dc6e913-02be-4eb6-9581-ad4b2cffa606", + "metadata": {}, + "outputs": [], + "source": [ + "call_gpt()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d2ed227-48c9-4cad-b146-2c4ecbac9690", + "metadata": {}, + "outputs": [], + "source": [ + "def call_claude():\n", + " messages = []\n", + " for gpt_message, claude_message, gemini_message in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": gpt_message})\n", + " messages.append({\"role\": \"assistant\", \"content\": claude_message})\n", + " messages.append({\"role\": \"user\", \"content\": gemini_message})\n", + " \n", + " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", + " \n", + " message = claude.messages.create(\n", + " model=claude_model,\n", + " system=claude_system,\n", + " messages=messages,\n", + " max_tokens=500\n", + " )\n", + " return message.content[0].text" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01395200-8ae9-41f8-9a04-701624d3fd26", + "metadata": {}, + "outputs": [], + "source": [ + "call_claude()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6e95b818-6daf-451e-9950-ecf5ab547bae", + "metadata": {}, + "outputs": [], + "source": [ + "def call_gemini():\n", + " messages = [{\"role\": \"system\", \"content\": gemini_system}]\n", + " for gpt_message, claude_message, gemini_message in zip(gpt_messages, claude_messages, gemini_messages):\n", + " messages.append({\"role\": \"user\", \"content\": gpt_message})\n", + " messages.append({\"role\": \"user\", \"content\": claude_message})\n", + " messages.append({\"role\": \"assistant\", \"content\": gemini_message}) \n", + " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", + " messages.append({\"role\": \"user\", \"content\": claude_messages[-1]})\n", + "\n", + " response = gemini.chat.completions.create(\n", + " model=gemini_model,\n", + " messages=messages\n", + " )\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b83c0c0e-5c80-4499-9ca6-d621dca34ddb", + "metadata": {}, + "outputs": [], + "source": [ + "call_gemini()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0275b97f-7f90-4696-bbf5-b6642bd53cbd", + "metadata": {}, + "outputs": [], + "source": [ + "gpt_messages = [\"Ahoy men\"]\n", + "claude_messages = [\"Hello\"]\n", + "gemini_messages = [\"Ahoy! Has seen the white whale?\"]\n", + "\n", + "print(f\"Flask:\\n{gpt_messages[0]}\\n\")\n", + "print(f\"Starbuck:\\n{claude_messages[0]}\\n\")\n", + "print(f\"Ishmail:\\n{gemini_messages[0]}\\n\")\n", + "\n", + "for i in range(5):\n", + " gpt_next = call_gpt()\n", + " print(f\"Flask:\\n{gpt_next}\\n\")\n", + " gpt_messages.append(gpt_next)\n", + " \n", + " claude_next = call_claude()\n", + " print(f\"Starbuck:\\n{claude_next}\\n\")\n", + " claude_messages.append(claude_next)\n", + "\n", + " gemini_next = call_gemini()\n", + " print(f\"Ishmail:\\n{gpt_next}\\n\")\n", + " gemini_messages.append(gemini_next)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c23224f6-7008-44ed-a57f-718975f4e291", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From fa9e740a4f2cca1e612b5ef59777a8a8521a5688 Mon Sep 17 00:00:00 2001 From: karsols Date: Wed, 7 May 2025 15:20:33 +0200 Subject: [PATCH 23/31] Added tool call to course material seach --- .../week2-toolcall-to-course-material.ipynb | 417 ++++++++++++++++++ 1 file changed, 417 insertions(+) create mode 100644 week2/community-contributions/week2-toolcall-to-course-material.ipynb diff --git a/week2/community-contributions/week2-toolcall-to-course-material.ipynb b/week2/community-contributions/week2-toolcall-to-course-material.ipynb new file mode 100644 index 0000000..5130dcd --- /dev/null +++ b/week2/community-contributions/week2-toolcall-to-course-material.ipynb @@ -0,0 +1,417 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d006b2ea-9dfe-49c7-88a9-a5a0775185fd", + "metadata": {}, + "source": [ + "# Additional End of week Exercise - week 2\n", + "\n", + "Now use everything you've learned from Week 2 to build a full prototype for the technical question/answerer you built in Week 1 Exercise.\n", + "\n", + "This should include a Gradio UI, streaming, use of the system prompt to add expertise, and the ability to switch between models. Bonus points if you can demonstrate use of a tool!\n", + "\n", + "If you feel bold, see if you can add audio input so you can talk to it, and have it respond with audio. ChatGPT or Claude can help you, or email me if you have questions.\n", + "\n", + "I will publish a full solution here soon - unless someone beats me to it...\n", + "\n", + "There are so many commercial applications for this, from a language tutor, to a company onboarding solution, to a companion AI to a course (like this one!) I can't wait to see your results." + ] + }, + { + "cell_type": "markdown", + "id": "63b3acf7", + "metadata": {}, + "source": [ + "# NOTE: Tool call to course notebooks \n", + "\n", + "This ended up being a bit more complex than I expected, so I only impleneted tool calling for chatgpt (not claude and gemini) as I had planned\n", + "\n", + "I ran into some problems getting streaming to work with tool calling. \n", + "\n", + "Also, the current implementation is not pretty :)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a07e7793-b8f5-44f4-aded-5562f633271a", + "metadata": {}, + "outputs": [], + "source": [ + "# base imports\n", + "\n", + "import json\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "import anthropic\n", + "import gradio as gr\n", + "\n", + "load_dotenv(override=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7f02f5c4", + "metadata": {}, + "outputs": [], + "source": [ + "# Instantaite clients and set system prompt\n", + "\n", + "openai = OpenAI()\n", + "claude = anthropic.Anthropic()\n", + "\n", + "SYSTEM_PROMPT = \"\\n\".join([\n", + " \"You are a helpful technical tutor who answers questions about python code, software engineering, data science and LLMs\",\n", + " \"You have access to a notebook_search tool that can search the course notebooks for relevant information to the user's question\",\n", + " \"You always keep your answers concise and to the point\",\n", + "])\n" + ] + }, + { + "cell_type": "markdown", + "id": "f92b2fa5", + "metadata": {}, + "source": [ + "## This is the tool\n", + "An index of embeddings for the course material - in this case just Week 2. But we could expand it to cover all the course material, so we can ask questions about it, and find references to things we forgot :)\n", + "\n", + "We can provide the URL to the Notebooks class that we want to query access to\n", + "\n", + "We opt out of the community contributions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "82f55cbb", + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "from sentence_transformers import SentenceTransformer\n", + "import faiss\n", + "\n", + "# Set path to course notebooks\n", + "NOTEBOOK_DIR = Path('~/code/llm_engineering/week2').expanduser()\n", + "\n", + "# Set embedding model (we could also use openai's embedding model)\n", + "EMBED_MODEL = \"all-MiniLM-L6-v2\"\n", + "\n", + "\n", + "class Notebooks:\n", + " def __init__(self, notebook_dir: Path = None):\n", + " self.embed_model = SentenceTransformer(EMBED_MODEL)\n", + " if notebook_dir:\n", + " self.load_notebooks(notebook_dir)\n", + "\n", + " # Load all notebooks to memory\n", + " def load_notebooks(self, notebook_dir: Path):\n", + " print('Reading from', notebook_dir)\n", + " self.docs = []\n", + " for notebook_path in notebook_dir.rglob(\"*.ipynb\"):\n", + " if 'community-contributions' in str(notebook_path):\n", + " continue\n", + " print(notebook_path)\n", + "\n", + " data = json.loads(notebook_path.read_text())\n", + " \n", + " # Get text from all markdown cells\n", + " markdown_cells = [\n", + " cell[\"source\"] for cell in data.get(\"cells\", []) \n", + " if cell.get(\"cell_type\") == \"markdown\"\n", + " ]\n", + " text = \"\\n\\n\".join(\"\".join(cell) for cell in markdown_cells).strip()\n", + " \n", + " if text:\n", + " self.docs.append({\n", + " \"path\": str(notebook_path.relative_to(notebook_dir)),\n", + " \"text\": text\n", + " })\n", + " \n", + " self._build_notebook_retriever()\n", + "\n", + " # Build FAISS index for retreival\n", + " def _build_notebook_retriever(self):\n", + " print('Building search index')\n", + " texts = [d[\"text\"] for d in self.docs]\n", + "\n", + " # Transform notebook text into embeddings\n", + " embeddings = self.embed_model.encode(texts, convert_to_numpy=True, show_progress_bar=True)\n", + "\n", + " self.doc_index = faiss.IndexFlatL2(embeddings.shape[1])\n", + " self.doc_index.add(embeddings)\n", + "\n", + " # Returns top n most similar notebook-markdown snippets\n", + " def search(self, query: str, top_n: int = 3, max_distance: float = None):\n", + " print('Looking for', query)\n", + " # compute embeddings for the query\n", + " embeddings = self.embed_model.encode([query], convert_to_numpy=True)\n", + " \n", + " # search the index\n", + " distances, indices = self.doc_index.search(embeddings, top_n)\n", + "\n", + " # compile results\n", + " results = []\n", + " for dist, idx in zip(distances[0], indices[0]):\n", + " if max_distance is not None and dist > max_distance:\n", + " continue\n", + " \n", + " doc = self.docs[idx]\n", + " excerpt = doc[\"text\"]\n", + " if len(excerpt) > 500:\n", + " excerpt = excerpt[:500].rsplit(\"\\n\", 1)[0] + \"…\"\n", + " \n", + " results.append({\n", + " \"source\": doc[\"path\"],\n", + " \"excerpt\": excerpt,\n", + " \"score\": float(dist) # lower socre is more similar in L2 space\n", + " })\n", + " \n", + " return results\n", + " \n", + " def as_tool(self):\n", + " return { \n", + " \"type\": \"function\", \n", + " \"function\": {\n", + " \"name\": \"notebook_search\",\n", + " \"description\": \"Searches the course notebooks and returns relevant excerpts with paths.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"query\": {\n", + " \"type\": \"string\", \n", + " \"description\": \"What to look for in the course notebooks\"\n", + " },\n", + " \"top_n\": {\n", + " \"type\":\"integer\",\n", + " \"description\":\"How many course notebook passages to return\", \n", + " \"default\": 3\n", + " }\n", + " },\n", + " \"required\": [\"query\"],\n", + " \"additionalProperties\": False\n", + " }\n", + " }\n", + " }\n", + " \n", + " \n", + "notebooks = Notebooks(NOTEBOOK_DIR)\n", + "\n", + "\n", + "def notebook_search(query, top_n=3):\n", + " return notebooks.search(query, top_n)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ce7608bc", + "metadata": {}, + "outputs": [], + "source": [ + "# Test tool here\n", + "\n", + "notebooks.search(\"Gradio\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a214dd2e", + "metadata": {}, + "outputs": [], + "source": [ + "MODELS = dict(\n", + " gpt='gpt-4o-mini',\n", + " claude='claude-3-haiku-20240307',\n", + ")\n", + "\n", + "def get_interactions(message, history):\n", + " messages = []\n", + " for user_msg, bot_msg in history:\n", + " messages.append({\"role\":\"user\", \"content\":user_msg})\n", + " messages.append({\"role\":\"assistant\", \"content\":bot_msg})\n", + " messages.append({\"role\":\"user\", \"content\":message})\n", + " return messages\n", + "\n", + "\n", + "def get_chatgpt_stream(model, message, history):\n", + " print(f\"Getting OpenAi stream, using {model}\")\n", + " interactions = get_interactions(message, history)\n", + " messages = [{\"role\": \"system\", \"content\": SYSTEM_PROMPT}] + interactions\n", + "\n", + " stream = openai.chat.completions.create(\n", + " model=model,\n", + " messages=messages,\n", + " temperature=0.5,\n", + " stream=True,\n", + " tools=[\n", + " notebooks.as_tool()\n", + " ]\n", + " )\n", + "\n", + " tool_call = None\n", + " fn_name = None\n", + " fn_args = \"\"\n", + " tool_call_id = None\n", + " buffer = \"\"\n", + " \n", + " for chunk in stream:\n", + " delta = chunk.choices[0].delta\n", + "\n", + " # Handle normal content\n", + " if delta and delta.content:\n", + " buffer += delta.content or ''\n", + " yield buffer\n", + "\n", + " # Handle tool call\n", + " if delta and delta.tool_calls:\n", + " tool_call = delta.tool_calls[0]\n", + " if tool_call.id:\n", + " tool_call_id = tool_call.id\n", + " if tool_call.function.name:\n", + " fn_name = tool_call.function.name\n", + " if tool_call.function.arguments:\n", + " fn_args += tool_call.function.arguments\n", + " yield buffer # Yield to keep Gradio updated\n", + " \n", + " if fn_name == \"notebook_search\" and fn_args and tool_call_id:\n", + " print('Tool call to ', fn_name)\n", + "\n", + " args = json.loads(fn_args)\n", + " result = notebook_search(**args) # Returns list of dicts\n", + " result_str = json.dumps(result, indent=2)\n", + " print(\"Tool result:\", result_str)\n", + "\n", + " # Append assistant message with tool call\n", + " messages.append({\n", + " \"role\": \"assistant\",\n", + " \"content\": None,\n", + " \"tool_calls\": [\n", + " {\n", + " \"id\": tool_call_id,\n", + " \"type\": \"function\",\n", + " \"function\": {\n", + " \"name\": fn_name,\n", + " \"arguments\": fn_args\n", + " }\n", + " }\n", + " ]\n", + " })\n", + "\n", + " messages.append({\n", + " \"role\": \"tool\",\n", + " \"content\": result_str,\n", + " \"tool_call_id\": tool_call_id\n", + " })\n", + " messages.append({\n", + " \"role\": \"assistant\",\n", + " \"content\": \"Make sure you reference the source notebook in your answer.\",\n", + " })\n", + "\n", + " # Follow-up chat call\n", + " followup_stream = openai.chat.completions.create(\n", + " model=model,\n", + " messages=messages,\n", + " temperature=0.5,\n", + " stream=True\n", + " )\n", + "\n", + " # Stream follow-up response\n", + " for chunk in followup_stream:\n", + " delta = chunk.choices[0].delta\n", + " if delta.content:\n", + " buffer += delta.content or \"\"\n", + " yield buffer\n", + "\n", + "\n", + "def get_claude_stream(model, message, history):\n", + " print(f\"Getting Claude stream, using {model}\")\n", + " interactions = get_interactions(message, history)\n", + "\n", + " with claude.messages.stream(\n", + " model=model,\n", + " messages=interactions,\n", + " max_tokens=500,\n", + " system=SYSTEM_PROMPT,\n", + " ) as stream:\n", + " buffer = \"\"\n", + " for delta in stream.text_stream:\n", + " buffer += delta\n", + " yield buffer\n", + "\n", + "\n", + "def chat(model_selector, message, history):\n", + " model = MODELS.get(model_selector)\n", + " if not model:\n", + " raise ValueError(f\"Invalid model: {model_selector}\")\n", + " \n", + " reply = \"\"\n", + " if model_selector == 'gpt':\n", + " for partial in get_chatgpt_stream(model, message, history):\n", + " reply = partial\n", + " yield history + [(message, reply)]\n", + "\n", + " elif model_selector == 'claude':\n", + " for partial in get_claude_stream(model, message, history):\n", + " reply = partial\n", + " yield history + [(message, reply)]\n", + " \n", + "\n", + "with gr.Blocks() as demo:\n", + " model_selector = gr.Dropdown(\n", + " choices=MODELS.keys(),\n", + " value=\"gpt\", \n", + " label=\"Pick Model\",\n", + " )\n", + " chatbot = gr.Chatbot()\n", + " txt = gr.Textbox(placeholder=\"Ask about python\", show_label=False)\n", + " txt.submit(\n", + " fn=chat,\n", + " inputs=[model_selector, txt, chatbot],\n", + " outputs=[chatbot],\n", + " ).then(\n", + " fn=lambda: \"\",\n", + " inputs=None,\n", + " outputs=txt\n", + " )\n", + "\n", + " clear = gr.Button(\"Clear\")\n", + " clear.click(lambda: None, None, chatbot, queue=False)\n", + "\n", + "demo.launch()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bc128d47", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llms", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From da0759de5375434071792cf8f050845e14443c54 Mon Sep 17 00:00:00 2001 From: karsols Date: Thu, 8 May 2025 16:57:06 +0200 Subject: [PATCH 24/31] added python cells to notebook search --- .../week2-toolcall-to-course-material.ipynb | 22 +++++++++++++------ 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/week2/community-contributions/week2-toolcall-to-course-material.ipynb b/week2/community-contributions/week2-toolcall-to-course-material.ipynb index 5130dcd..bdf17bf 100644 --- a/week2/community-contributions/week2-toolcall-to-course-material.ipynb +++ b/week2/community-contributions/week2-toolcall-to-course-material.ipynb @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "id": "7f02f5c4", "metadata": {}, "outputs": [], @@ -117,12 +117,20 @@ "\n", " data = json.loads(notebook_path.read_text())\n", " \n", - " # Get text from all markdown cells\n", - " markdown_cells = [\n", - " cell[\"source\"] for cell in data.get(\"cells\", []) \n", - " if cell.get(\"cell_type\") == \"markdown\"\n", - " ]\n", - " text = \"\\n\\n\".join(\"\".join(cell) for cell in markdown_cells).strip()\n", + " # Include both markdown and code if available\n", + " cells = []\n", + " for cell in data.get(\"cells\", []):\n", + " if cell.get(\"cell_type\") == \"markdown\":\n", + " cells.append(\"\".join(cell[\"source\"]))\n", + " elif cell.get(\"cell_type\") == \"code\":\n", + " code = \"\".join(cell[\"source\"])\n", + " cells.append(f\"```python\\n{code}\\n```\")\n", + " if \"outputs\" in cell:\n", + " for output in cell[\"outputs\"]:\n", + " if \"text\" in output:\n", + " cells.append(\"\".join(output[\"text\"]))\n", + " \n", + " text = \"\\n\\n\".join(cells).strip()\n", " \n", " if text:\n", " self.docs.append({\n", From 7820337d3fa35f38f8dd6554cd13b40aaed13699 Mon Sep 17 00:00:00 2001 From: Mark Venn Date: Thu, 8 May 2025 20:50:23 +0100 Subject: [PATCH 25/31] Create day1 email checker.ipynb email checking AI assistant --- .../day1 email checker.ipynb | 168 ++++++++++++++++++ 1 file changed, 168 insertions(+) create mode 100644 week1/community-contributions/day1 email checker.ipynb diff --git a/week1/community-contributions/day1 email checker.ipynb b/week1/community-contributions/day1 email checker.ipynb new file mode 100644 index 0000000..db9db5c --- /dev/null +++ b/week1/community-contributions/day1 email checker.ipynb @@ -0,0 +1,168 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "82b3f7d7-a628-4824-b0b5-26c78b833b7f", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "\n", + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n", + "\n", + "# If you get an error running this cell, then please head over to the troubleshooting notebook!" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7bb45eea-2ae0-4550-a9c8-fb42ff6a5f55", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API key looks good!\n" + ] + } + ], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "# Check the key\n", + "\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key looks good!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a10c24ce-c334-4424-8a2d-ae79ad3eb393", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()\n", + "\n", + "# working on assumption that this is OK" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d9dff1ca-4e0a-44ca-acd6-0bc4004ffc3c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "**Subject:** Feedback on Your Recent Assessment\n", + "\n", + "Dear John,\n", + "\n", + "Thank you for reaching out regarding your recent assessment marks. I have reviewed your submission and would like to provide you with some feedback.\n", + "\n", + "It is important to remember that you are one of over 350 students in the cohort. While I understand your desire for a swift response, I must express my concern regarding the quality of your work. Unfortunately, your submission did not meet the standards expected for this assessment. \n", + "\n", + "You had the opportunity to seek feedback prior to submission, but it appears this was not utilised, which may have contributed to the overall quality of your work. Additionally, your attendance in classes was noted and may have impacted your understanding of the course material, leading to fundamental errors in your submission that could have been avoided with more engagement.\n", + "\n", + "I encourage you to take the feedback from this assessment as a catalyst for improvement in your future submissions. Should you wish to discuss this further or seek additional guidance on how to enhance your academic performance, please do not hesitate to reach out.\n", + "\n", + "Best regards, \n", + "Dr Doe\n", + "\n", + "**Tone:** Professional, constructive, encouraging" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Step 1: Create your prompts\n", + "# As you can probably tell I am a University lecturer who deals with some dreadful assessment submissions and have to email students telling them why they got the marks they did.\n", + "# This AI Assisstemt would help immensely as we could write what we want to say and let the reviewer fix it for us !\n", + "# It is based on the day1_email_reviewer notebook\n", + "# MV\n", + "\n", + "system_prompt = \"You are an AI email reviewer that checks the content of emails sent out to higher education under graduate students. You must identify the meaning of the context in the text given, run a spell check in UK English and provide the subject line and email and rewrite to make the email more professional. and in the end of text, please provide the tone info.\"\n", + "user_prompt = \"\"\"\n", + " Dear John,\n", + "You asked for the reasons why you received the marks that you did in your recently submitted assessment. I have looked over your submission again, bear in mind the fact that you are only 1 student out of a cohort of over 350 and have nagged me for a quick response, and your work was awful.\n", + "You submitted work of an appalling standard and obvously did not actually put much work into your submission, you were givben the chance to have feedback on what you were going to submit but you could not be bothered to get this feedback.\n", + "You did not bother to turn up to many of the lessons then submitted work with the most basic errors that anyone who had put the right level of effort into their studies would have been able to identify easily and not had such a low mark when they submitted. I think I put more work into marking this rubbish than you did in writing it.\n", + "\n", + "Best regards,\n", + "Dr Doe\n", + "\"\"\"\n", + "\n", + "# Step 2: Make the messages list\n", + "\n", + "messages = [\n", + " {\"role\":\"system\", \"content\": system_prompt},\n", + " {\"role\":\"user\", \"content\": user_prompt}\n", + " \n", + "] # fill this in\n", + "\n", + "# Step 3: Call OpenAI\n", + "\n", + "response = openai.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=messages\n", + ")\n", + "\n", + "# Step 4: print the result\n", + "\n", + "display(Markdown(response.choices[0].message.content))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a65b65f-4b3f-41f5-894a-0f8e81f0ba27", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From e4e5602e1af974094e9d7f39a4c6f2ddd8adbfa4 Mon Sep 17 00:00:00 2001 From: Mark Venn Date: Thu, 8 May 2025 21:07:24 +0100 Subject: [PATCH 26/31] Added my contributions to community-contributions --- .../day1 email checker.ipynb | 48 +++---------------- 1 file changed, 6 insertions(+), 42 deletions(-) diff --git a/week1/community-contributions/day1 email checker.ipynb b/week1/community-contributions/day1 email checker.ipynb index db9db5c..d44c708 100644 --- a/week1/community-contributions/day1 email checker.ipynb +++ b/week1/community-contributions/day1 email checker.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "82b3f7d7-a628-4824-b0b5-26c78b833b7f", "metadata": {}, "outputs": [], @@ -21,18 +21,10 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "7bb45eea-2ae0-4550-a9c8-fb42ff6a5f55", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "API key looks good!\n" - ] - } - ], + "outputs": [], "source": [ "# Load environment variables in a file called .env\n", "\n", @@ -53,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "a10c24ce-c334-4424-8a2d-ae79ad3eb393", "metadata": {}, "outputs": [], @@ -65,38 +57,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "d9dff1ca-4e0a-44ca-acd6-0bc4004ffc3c", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "**Subject:** Feedback on Your Recent Assessment\n", - "\n", - "Dear John,\n", - "\n", - "Thank you for reaching out regarding your recent assessment marks. I have reviewed your submission and would like to provide you with some feedback.\n", - "\n", - "It is important to remember that you are one of over 350 students in the cohort. While I understand your desire for a swift response, I must express my concern regarding the quality of your work. Unfortunately, your submission did not meet the standards expected for this assessment. \n", - "\n", - "You had the opportunity to seek feedback prior to submission, but it appears this was not utilised, which may have contributed to the overall quality of your work. Additionally, your attendance in classes was noted and may have impacted your understanding of the course material, leading to fundamental errors in your submission that could have been avoided with more engagement.\n", - "\n", - "I encourage you to take the feedback from this assessment as a catalyst for improvement in your future submissions. Should you wish to discuss this further or seek additional guidance on how to enhance your academic performance, please do not hesitate to reach out.\n", - "\n", - "Best regards, \n", - "Dr Doe\n", - "\n", - "**Tone:** Professional, constructive, encouraging" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Step 1: Create your prompts\n", "# As you can probably tell I am a University lecturer who deals with some dreadful assessment submissions and have to email students telling them why they got the marks they did.\n", From d9846ece12eea883476fcfc839f054200bc5ffd5 Mon Sep 17 00:00:00 2001 From: anmol Date: Fri, 9 May 2025 17:20:48 +0530 Subject: [PATCH 27/31] Added my day1 contributions to community-contributions --- .../day1_article_world_cup_final.ipynb | 60 +++++++++++++++++++ 1 file changed, 60 insertions(+) create mode 100644 week1/community-contributions/day1_article_world_cup_final.ipynb diff --git a/week1/community-contributions/day1_article_world_cup_final.ipynb b/week1/community-contributions/day1_article_world_cup_final.ipynb new file mode 100644 index 0000000..3d61250 --- /dev/null +++ b/week1/community-contributions/day1_article_world_cup_final.ipynb @@ -0,0 +1,60 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "2c4ce468", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "from openai import OpenAI\n", + "\n", + "openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n", + "\n", + "# Step 1: Create your prompts\n", + "\n", + "system_prompt = \"You are a sports journalist.\"\n", + "user_prompt = \"\"\"\n", + " Write a sports article in less than 500 words describing the FIFA World Cup Final 2022.\n", + "\"\"\"\n", + "\n", + "# Step 2: Make the messages list\n", + "\n", + "messages = [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + "]\n", + "\n", + "# Step 3: Call OpenAI\n", + "\n", + "response = openai.chat.completions.create(model=\"llama3.2\", messages=messages)\n", + "\n", + "# Step 4: print the result\n", + "\n", + "print(response.choices[0].message.content)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llms", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 22b5915d7eb7e0f075da3fb9fbf0ea89b6f19d26 Mon Sep 17 00:00:00 2001 From: SABEEH Shaikh Date: Sat, 10 May 2025 02:35:33 +0200 Subject: [PATCH 28/31] Flight conversation between 2 AI bots (Week 2) --- ...light_assistant_bot_and_customer_bot.ipynb | 631 ++++++++++++++++++ 1 file changed, 631 insertions(+) create mode 100644 week2/community-contributions/Automated_conversation_between_flight_assistant_bot_and_customer_bot.ipynb diff --git a/week2/community-contributions/Automated_conversation_between_flight_assistant_bot_and_customer_bot.ipynb b/week2/community-contributions/Automated_conversation_between_flight_assistant_bot_and_customer_bot.ipynb new file mode 100644 index 0000000..fd0e082 --- /dev/null +++ b/week2/community-contributions/Automated_conversation_between_flight_assistant_bot_and_customer_bot.ipynb @@ -0,0 +1,631 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d8e24125-28e2-4d58-9684-ca2a5ce3d4ac", + "metadata": {}, + "source": [ + "# Automated Conversation between 2 bots\n", + "\n", + "## About Bots\n", + "This project accomplishes a back and forth conversation between a flight assistant bot and customer bot. The flight assistant bot is responsible for handling queries related to booking return flights in any European country, while the customer bot is given the task to find the cheapest ticket (with return) to any randomly chosen 5 European countries for a vacation holiday coming soon. You can read the the first 2 system prompts below to get a better overview. \n", + "\n", + "## Selecting LLMs\n", + "After doing a lot of trials, I found out that Anthropic's Claude model performance was not even close to the way Gemini and ChatGPT gave responses, with the same system prompt. Claude's response were empty (None) most of the time, even by swapping the role. If anyone figures out why please let me know (sabeehmehtab@gmail.com), thanks!\n", + "\n", + "## Tool Issues\n", + "I did implement the use of tools but for some reason ChatGPT model does not consider using it. Though my implementation of tools is a bit tricky, I have used a separate model (Claude because it failed above) for handling tool calls from a GPT chatting model when it has the role of a flight assistant. This tool handling Claude model receives a query/task input generated from the GPT and is given a further set of tools (3 in this case) to help it answer the query/task. The issue is it never gets till this point. The GPT model never uses it since it can figure out the answer to any query from the customer bot on its own. Just to mention, I did a few tries by changing the system prompt to kind of force it to use tools but did not get any success. " + ] + }, + { + "cell_type": "markdown", + "id": "9bf8e3d8-bfde-4a0e-b133-fa8cda87030e", + "metadata": {}, + "source": [ + "## Imports" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9dda7606-a5bf-490d-84ea-f1fb7e0116db", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "import os\n", + "import json\n", + "import time\n", + "import random\n", + "import anthropic\n", + "import gradio as gr\n", + "import google.generativeai\n", + "from dotenv import load_dotenv\n", + "from openai import OpenAI\n", + "from datetime import date, timedelta" + ] + }, + { + "cell_type": "markdown", + "id": "24267c14-4025-48cf-af0b-1f8082d037f5", + "metadata": {}, + "source": [ + "## Setup keys from environment file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0321895a-eee7-4d5e-98f0-0983178331f4", + "metadata": {}, + "outputs": [], + "source": [ + "#Load available keys from environment file \n", + "#Print the keys first 6 characters \n", + "\n", + "load_dotenv(override=True)\n", + "\n", + "openai_api_key = os.getenv(\"OPENAI_API_KEY\")\n", + "ant_api_key = os.getenv(\"ANTHROPIC_API_KEY\")\n", + "goo_api_key = os.getenv(\"GOOGLE_API_KEY\")\n", + "\n", + "if openai_api_key:\n", + " print(f\"OpenAI API key exists and begins {openai_api_key[:6]}\")\n", + "else:\n", + " print(\"OpenAI API key does not exist\")\n", + "\n", + "if ant_api_key:\n", + " print(f\"Anthropic API key exists and begins {ant_api_key[:6]}\")\n", + "else:\n", + " print(\"Anthropic API key API key does not exist\")\n", + "\n", + "if goo_api_key:\n", + " print(f\"Google API key exists and begins {goo_api_key[:6]}\")\n", + "else:\n", + " print(\"Google API key does not exist\")" + ] + }, + { + "cell_type": "markdown", + "id": "2cb778fd-7f45-4271-b984-9349b32abe1b", + "metadata": {}, + "source": [ + "## Model(s) Initialization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f050192d-9cd4-45c1-9d26-a720bdaaf7ca", + "metadata": {}, + "outputs": [], + "source": [ + "# Setup code for OpenAI, Anthropic and Google\n", + "\n", + "openai = OpenAI()\n", + "gpt_model = \"gpt-4o-mini\"\n", + "\n", + "claude_sonnet = anthropic.Anthropic()\n", + "claude_model = \"claude-3-7-sonnet-latest\"\n", + "\n", + "google.generativeai.configure()\n", + "gemini_model = \"gemini-2.0-flash\"" + ] + }, + { + "cell_type": "markdown", + "id": "55589a8e-3ca7-4218-a59d-20d51a1235e1", + "metadata": {}, + "source": [ + "## Define System Prompts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ea9534e0-8277-404d-aa69-f9aff87fca75", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt1 = \"You are a helpful assistant chatbot for an airline called 'Edge Air'. \\\n", + "You are to respond to any queires related to booking of flights in European countries. \\\n", + "You should offer a discount of 10% to European Nationals and a 5% discount on debit/credit card payments, when asked. \\\n", + "You are provided with a tool that you can use when customer query is related to return ticket price or flight duration or available dates. \\\n", + "Responses must be in a polite and courteous way, while encouraging the customer to buy a ticket as early as possible.\"\n", + "\n", + "system_prompt2 = \"You are a customer who wants to book a flight at 'Edge Air' airline, via a chatbot assistant. \\\n", + "You reside in Dubai and will be flying to Europe after 90 days from today on a vacation. \\\n", + "You are to choose any 5 countries in the European region and find the cheapest return ticket available. \\\n", + "You should ask for discounts and act smart to get the best available discount.\\\n", + "Remember to ask questions related to the return flight ticket price, available dates and duration to and from destination city. \\\n", + "Keep your responses short and precise.\"\n", + "\n", + "system_prompt3 = \"You are an airline flight booking manager who has access to multiple tools required \\\n", + "in the process of a booking. You will be given a query or task from a chabot assistant that should be responded \\\n", + "with the help of the tools provided. If no such tool exists to resolve the query/task at hand, \\\n", + "you must guess the solution and respond back with a high level of confidence. When taking a guess, \\\n", + "make sure that your solution is relevant to the query/task given by giving a second-thought to it.\"\n", + "\n", + "starting_prompt = \"Start of an autonomous conversation between two AI bots. They take turns for flight booking process discussion.\"" + ] + }, + { + "cell_type": "markdown", + "id": "c00a45a4-bf50-4770-8599-29d082b80c65", + "metadata": {}, + "source": [ + "## Define Flight Assistant tools" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "785373a2-1bd6-4c7f-8eee-6765a45c7eba", + "metadata": {}, + "outputs": [], + "source": [ + "# Flight Assistant Tool\n", + "\n", + "def call_manager(task):\n", + " prompt = [\n", + " {\"role\" : \"system\", \"content\" : system_prompt3},\n", + " {\"role\" : \"user\", \"content\" : task}\n", + " ]\n", + " model = \"gemini-2.0-flash\"\n", + " gemini_via_openai_client = OpenAI(\n", + " api_key=goo_api_key, \n", + " base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n", + " )\n", + " response = gemini_via_openai_client.chat.completions.create(model=model,messages=prompt)\n", + " return response.choices[0].message.content\n", + "\n", + "\n", + "# There's a particular dictionary structure that's required to describe our function:\n", + "manager_function = {\n", + " \"name\": \"call_manager\",\n", + " \"description\": \"Use this tool only when you are unsure about the answer to the clients query, like when you want to know the ticket price \\\n", + " of a country, available traveling dates, duration of the flight journey from one country to another or any other flight booking information \",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"task\": {\n", + " \"type\": \"string\",\n", + " \"description\": \"The query or task you want to resolve in simple words\",\n", + " },\n", + " },\n", + " \"required\": [\"task\"],\n", + " \"additionalProperties\": False\n", + " }\n", + "}\n", + "\n", + "assistant_tools = [{\"type\":\"function\",\"function\":manager_function}]" + ] + }, + { + "cell_type": "markdown", + "id": "df32fd9f-c890-455a-91c2-8a661b18163b", + "metadata": {}, + "source": [ + "## Define Flight Manager Tools" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33e7c5c4-3124-4f47-b075-e8916a4a368b", + "metadata": {}, + "outputs": [], + "source": [ + "# Flight Manager Tools\n", + "\n", + "fixed_city_durations = {\"france\":\"6 Hours\",\"berlin\":\"6.5 Hours\",\"germany\":\"7 Hours\",\"netherlands\":\"7.5 Hours\",\"spain\":\"5 Hours\"}\n", + "\n", + "def get_ticket_price():\n", + " price = random.randint(800, 2000)\n", + " return price\n", + "\n", + "def get_available_dates():\n", + " available_dates = []\n", + " no_of_dates = random.randint(15,30)\n", + " \n", + " start_date = date.today()\n", + " end_date = start_date + timedelta(180)\n", + " diff = end_date-current_date\n", + "\n", + " for day in range(no_of_dates):\n", + " random.seed(a=None)\n", + " rand_day = random.randrange(diff.days)\n", + " available_dates.append(current + timedelta(rand_day))\n", + "\n", + " return available_dates\n", + "\n", + "def get_duration(city):\n", + " city = city.lower()\n", + " if (city in fixed_city_durations.keys()):\n", + " return fixed_city_durations[city]\n", + " else:\n", + " return [f\"{random.randint(4,10) + random.random()} Hours\", f\"{random.randint(4,10) + random.random()} Hours\"]\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "46e77f2a-f5a1-467e-86bf-997fe86a30e4", + "metadata": {}, + "source": [ + "### Anthropic tool usage format " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b55d3db-ff9e-4706-b7ff-a29d28832eed", + "metadata": {}, + "outputs": [], + "source": [ + "# There's a particular Antrhopic Tool Object structure that's required to describe our tool function for Claude:\n", + "price_function = {\n", + " \"name\":\"get_ticket_price\",\n", + " \"description\":\"Use this tool to get the price of a return ticket to the destination city. It will return the price in the dollar currency.\",\n", + " \"input_schema\":{\n", + " \"type\": \"object\",\n", + " \"properties\": {},\n", + " \"required\": []\n", + " }\n", + "}\n", + "dates_function = {\n", + " \"name\":\"get_available_dates\",\n", + " \"description\":\"Use this tool for fetching the available dates of a flight to the destination city. It will return a list of dates that are avilable for travelling.\",\n", + " \"input_schema\":{\n", + " \"type\": \"object\",\n", + " \"properties\": {},\n", + " \"required\": []\n", + " }\n", + "}\n", + "duration_function = {\n", + " \"name\":\"get_duration\",\n", + " \"description\":\"Use this tool to get the flight durations to and from the destination city. It will return the two flight durations in hours in a string format in a list.\",\n", + " \"input_schema\":{\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"city\" : { \"type\":\"String\", \"description\":\"Name of the destination city\"}\n", + " },\n", + " \"required\": [\"city\"]\n", + " }\n", + "}\n", + "\n", + "anthropic_manager_tools = [price_function,dates_function,duration_function]\n", + "\n", + "openai_manager_tools = [\n", + " {\"type\":\"function\",\"function\":price_function},\n", + " {\"type\":\"function\",\"function\":dates_function},\n", + " {\"type\":\"function\",\"function\":duration_function}\n", + "]\n" + ] + }, + { + "cell_type": "markdown", + "id": "9fb43fdf-6eb5-44b3-841d-5aae05523ad2", + "metadata": {}, + "source": [ + "## Gradio Chatbot Conversation Structure" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e01b8c5e-a455-4d51-8683-ce07146b8a89", + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + " Commented Claudes conversation chat funtion as it produces a lot of empty responses\n", + "\"\"\"\n", + "def get_structured_messages(history, system_prompt):\n", + " return [{\"role\" : \"system\", \"content\" : system_prompt}] + history\n", + "\n", + "def chat_gpt(system_prompt, history):\n", + " messages = get_structured_messages(history=history, system_prompt=system_prompt)\n", + "\n", + " response = openai.chat.completions.create(model=gpt_model, messages=messages)#, tools=assistant_tools)\n", + "\n", + " if (response.choices[0].finish_reason==\"tool_calls\"):\n", + " message = response.choices[0].message\n", + " response = handle_assistant_tool_call(message)\n", + " messages.append({\"role\" : \"assistant\", \"content\" : messages.content})\n", + " messages.append(response)\n", + " response = openai.chat.completions.create(model=MODEL, messages=messages)\n", + "\n", + " return response.choices[0].message.content\n", + "\n", + "# def chat_claude(system_prompt, history): \n", + "# response = claude_sonnet.messages.create(\n", + "# model=claude_model,\n", + "# max_tokens=200,\n", + "# temperature=0.7,\n", + "# system=system_prompt,\n", + "# messages=history,\n", + "# )\n", + "# try:\n", + "# text = response.content[0].text\n", + "# except:\n", + "# print(\"No response from claude\")\n", + "# text = \"\"\n", + "# return text\n", + "\n", + "def chat_gemini(system_prompt, history):\n", + " gemini = google.generativeai.GenerativeModel(\n", + " model_name=gemini_model,\n", + " system_instruction=system_prompt\n", + " )\n", + " response = gemini.generate_content(json.dumps(history))\n", + " # print(f\"Gemini Response: \\n{response}\")\n", + " return response.text" + ] + }, + { + "cell_type": "markdown", + "id": "b6d05d4b-0d4f-4bee-82d5-d1a3b6b36551", + "metadata": {}, + "source": [ + "## Handling Tool Calls" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "208b7b23-ae83-4bf4-a31f-5309a747ea86", + "metadata": {}, + "outputs": [], + "source": [ + "def handle_assistant_tool_call(message):\n", + " content_list = []\n", + " tool_calls = message.tool_calls\n", + " print(f\"List of tool call: \\n{tool_calls}\")\n", + " for tool in tool_calls:\n", + " try:\n", + " arguments = json.loads(tool_call.function.arguments)\n", + " except:\n", + " print(\"Error loading arguments from tool call\")\n", + " print(f\"Arguments in json format: \\n{arguments}\")\n", + " task = arguments.get('task')\n", + " content = run_manager_llm(task)\n", + " content_list.append(content)\n", + " response = {\n", + " \"role\": \"tool\",\n", + " \"content\": content_list,\n", + " \"tool_call_id\": tool_call.id\n", + " }\n", + " return response\n", + " \n", + "# Anthropic Claude-Sonnet\n", + "def run_manager_llm(task):\n", + " user_prompt = [\n", + " {\"role\":\"user\", \"content\": task}\n", + " ]\n", + "\n", + " response = claude_sonnet.messages.create(\n", + " model=claude_model,\n", + " max_tokens=1024,\n", + " tools=anthropic_manager_tools,\n", + " tool_choice='auto',\n", + " temperature=0.7,\n", + " system=system_prompt3,\n", + " messages=user_prompt,\n", + " )\n", + "\n", + " tool_use = response.content[0].tool_use\n", + " print(f\"Claude tool help: {tool_use}\")\n", + " \n", + " if tool_use.name==\"get_ticket_price\":\n", + " price = get_ticket_price()\n", + " response = manager_tool_response(user_prompt,tool_use,price)\n", + " \n", + " elif tool_use.name==\"get_available_dates\":\n", + " dates = get_available_dates()\n", + " response = manager_tool_response(user_prompt,tool_use,dates)\n", + " elif tool_use.name==\"get_duration\":\n", + " duration = get_duration(tool_use.input[\"city\"])\n", + " response = manager_tool_response(user_prompt,tool_use,duration)\n", + "\n", + " try:\n", + " text = response.content[0].text\n", + " except:\n", + " print(\"No response from claude\")\n", + " text = \"\"\n", + " return text\n", + "\n", + "# Function for generating response after tool usage\n", + "def manager_tool_response(user_prompt, tool_use, content):\n", + " user_prompt.append({\"role\":\"assistant\",\"content\": [\n", + " {\n", + " \"type\": \"tool_use\", \"tool_use_id\": tool_use.tool_use_id, \"name\": tool_use.name, \"input\": tool_use.input,\n", + " }\n", + " ]})\n", + " user_prompt.append({\"role\":\"user\",\"content\": [\n", + " {\n", + " \"type\": \"tool_result\", \"tool_use_id\": tool_use.tool_use_id, \"content\": content,\n", + " }\n", + " ]})\n", + " response = claude_sonnet.messages.create(\n", + " model=claude_model,\n", + " max_tokens=1024,\n", + " tools=anthropic_manager_tools,\n", + " tool_choice='auto',\n", + " temperature=0.7,\n", + " system=system_prompt3,\n", + " messages=user_prompt,\n", + " )\n", + " return response" + ] + }, + { + "cell_type": "markdown", + "id": "b9e12b32-4ac7-4825-bd5e-d531597ebc5c", + "metadata": {}, + "source": [ + "## Build UI using Gradio" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fbeb49d9-e4d3-4e16-92ea-2f1fbf9a610d", + "metadata": {}, + "outputs": [], + "source": [ + "chatbot_models = [\"ChatGPT\", \"Gemini\"]\n", + "\n", + "with gr.Blocks() as demo:\n", + " gr.Markdown(\"# 🤖 AI Chatbot Conversation\")\n", + " gr.Markdown(\"Watch two AI chatbots have a conversation with each other.\")\n", + " \n", + " is_conversation_active = gr.State(True)\n", + " turns_count = gr.State(0)\n", + " \n", + " with gr.Row():\n", + " with gr.Column(scale=3):\n", + " # Chat display\n", + " chatbot = gr.Chatbot(\n", + " type='messages',\n", + " label=\"Bot Conversation\",\n", + " height=500,\n", + " elem_id=\"chatbot\",\n", + " avatar_images=(\"🧑\", \"🤖\",)\n", + " )\n", + " \n", + " # Controls\n", + " with gr.Row(elem_classes=\"controls\"):\n", + " start_btn = gr.Button(\"Start Conversation\", variant=\"primary\")\n", + " stop_btn = gr.Button(\"Stop\", variant=\"stop\")\n", + " clear_btn = gr.Button(\"Clear Conversation\")\n", + " \n", + " # Conversation settings\n", + " with gr.Row():\n", + " max_turns = gr.Slider(\n", + " minimum=5,\n", + " maximum=20,\n", + " value=8,\n", + " step=1,\n", + " label=\"Maximum Conversation Turns\",\n", + " info=\"How many exchanges between the bots\"\n", + " )\n", + " delay = gr.Slider(\n", + " minimum=1,\n", + " maximum=5,\n", + " value=2,\n", + " step=0.5,\n", + " label=\"Delay Between Responses (seconds)\",\n", + " info=\"Simulates thinking time\"\n", + " )\n", + " \n", + " with gr.Column(scale=1):\n", + " gr.Markdown(\"### About\")\n", + " gr.Markdown(\"\"\"\n", + " This interface simulates a flight booking conversation between two AI chatbots.\n", + " \n", + " - Click \"Start Conversation\" to begin\n", + " - The bots will automatically exchange messages\n", + " - You can stop the conversation at any time\n", + " \n", + " \"\"\")\n", + " bot1 = gr.Dropdown(chatbot_models, show_label=True, label=\"Flight Assistant Model (left)\", multiselect=False)\n", + " bot2 = gr.Dropdown(chatbot_models, show_label=True, label=\"Customer Model (right)\", multiselect=False)\n", + "\n", + " def bot_response(model, system_prompt, history):\n", + " if model==chatbot_models[0]:\n", + " return chat_gpt(system_prompt=system_prompt,history=history)\n", + " else:\n", + " return chat_gemini(system_prompt=system_prompt,history=history)\n", + " \n", + " # Function to update the conversation display\n", + " def start_conversation(turns, max_turns, delay_time, bot1_model, bot2_model):\n", + " history = []\n", + " conversation = []\n", + " history.append({\"role\":\"user\",\"content\":starting_prompt})\n", + " global is_conversation_active\n", + " is_conversation_active=True\n", + " \n", + " while is_conversation_active and turns < max_turns:\n", + " # Airline Assistant Responds first. Change chat function to change bot model \n", + " message = bot_response(bot1_model,system_prompt1,history=history)\n", + " print(f\"(assistant): \\n{message}\")\n", + " conversation.append({\"role\":\"assistant\",\"content\":message})\n", + " history.append({\"role\":\"assistant\", \"content\": message})\n", + " yield conversation, turns \n", + " time.sleep(delay_time)\n", + " \n", + " # Customer responds next. Change chat function to change bot model \n", + " reply = bot_response(bot2_model,system_prompt2,history=history)\n", + " print(f\"(customer): \\n{reply}\")\n", + " conversation.append({\"role\":\"user\",\"content\":reply})\n", + " history.append({\"role\":\"assistant\", \"content\": reply})\n", + " turns+=1\n", + " yield conversation, turns\n", + " time.sleep(delay_time)\n", + " \n", + " \n", + " # Function to stop the conversation\n", + " def stop_conversation():\n", + " global is_conversation_active\n", + " is_conversation_active=False\n", + " \n", + " \n", + " # Function to clear the conversation\n", + " def clear_conversation():\n", + " global is_conversation_active\n", + " is_conversation_active=False\n", + " return [], 0\n", + " \n", + " # Set up the event handlers\n", + " start_btn.click(\n", + " start_conversation,\n", + " inputs=[turns_count, max_turns, delay, bot1, bot2],\n", + " outputs=[chatbot, turns_count]\n", + " )\n", + " \n", + " stop_btn.click(\n", + " stop_conversation,\n", + " outputs=[]\n", + " )\n", + " \n", + " clear_btn.click(\n", + " clear_conversation,\n", + " outputs=[chatbot, turns_count]\n", + " )\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5558451-bb90-4ec7-9063-716b60f07e19", + "metadata": {}, + "outputs": [], + "source": [ + "demo.launch(share=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 5e7d2d5a7d39bc98c3bc18c60ab1fc0191a39e69 Mon Sep 17 00:00:00 2001 From: Peter Wolf Date: Sat, 10 May 2025 17:13:08 +0200 Subject: [PATCH 29/31] Add datasheet comparator notebook from loupdethies --- .../wk1-day1-datasheet_comparator.ipynb | 302 ++++++++++++++++++ 1 file changed, 302 insertions(+) create mode 100644 week1/community-contributions/wk1-day1-datasheet_comparator.ipynb diff --git a/week1/community-contributions/wk1-day1-datasheet_comparator.ipynb b/week1/community-contributions/wk1-day1-datasheet_comparator.ipynb new file mode 100644 index 0000000..a7e79d2 --- /dev/null +++ b/week1/community-contributions/wk1-day1-datasheet_comparator.ipynb @@ -0,0 +1,302 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "52629582-ec22-447a-ae09-cba16a46976d", + "metadata": {}, + "source": [ + "# Datasheet Comparator - MVP" + ] + }, + { + "cell_type": "markdown", + "id": "40de9dc5-0387-4950-8f8f-4805b46187c3", + "metadata": {}, + "source": [ + "This notebook is part of a project that compares technical specifications from two electronic component datasheets.\n", + "\n", + "Initially, the PDFs are provided as local files, but future versions will allow users to:\n", + "- Select datasheets interactively from within the notebook\n", + "- Search and retrieve part information from distributor APIs (e.g. Mouser, Digi-Key)\n", + "- Use AI to extract, analyze, and summarize key specifications and differences\n", + "\n", + "The goal is to support engineers in identifying part changes, upgrades, or replacements efficiently." + ] + }, + { + "cell_type": "markdown", + "id": "b51c91b6-953b-479c-acc5-ab2a189fabba", + "metadata": {}, + "source": [ + "# 📌 Section A: Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "553666d5-af7e-46f0-b945-0d48c32bfbbf", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import requests\n", + "from dotenv import load_dotenv\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n", + "import fitz # PyMuPDF for PDF parsing\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "id": "a19c077a-36e3-4ff2-bee7-85f23e90b89a", + "metadata": {}, + "source": [ + "# Load OpenAI API key from environment variable (recommended)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6435f1c7-f161-4cad-b68a-05080304ff22", + "metadata": {}, + "outputs": [], + "source": [ + "load_dotenv(override=True)\n", + "api_key = os.getenv(\"OPENAI_API_KEY\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3722da9c-e1e9-4838-8ab9-04e45e52d8f0", + "metadata": {}, + "outputs": [], + "source": [ + "openai = OpenAI()" + ] + }, + { + "cell_type": "markdown", + "id": "34916ec4-643c-4b76-8e21-13c3364782fa", + "metadata": {}, + "source": [ + "# Define paths to datasheets\n", + "💬 **Note:** These example datasheet paths will later be replaced by a user-driven file selection dialog within the Jupyter notebook; optionally, this section could be extended to fetch component data directly from distributor websites." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42621aa4-7094-4209-95ba-ecf03ba609fb", + "metadata": {}, + "outputs": [], + "source": [ + "pdf_path_1 = \"./datasheets/part_old.pdf\"\n", + "pdf_path_2 = \"./datasheets/part_new.pdf\"" + ] + }, + { + "cell_type": "markdown", + "id": "8f09e201-ab22-4b9d-a9a3-b12cc671a68a", + "metadata": {}, + "source": [ + "# 📌 Section B: Extract text from datasheets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff36d62e-efb6-4d08-a1d5-ceb470917103", + "metadata": {}, + "outputs": [], + "source": [ + "def extract_text_from_pdf(path):\n", + " text = \"\"\n", + " with fitz.open(path) as doc:\n", + " for page in doc:\n", + " text += page.get_text()\n", + " return text" + ] + }, + { + "cell_type": "markdown", + "id": "0da6bc72-93e2-4229-885b-7020f3920855", + "metadata": {}, + "source": [ + "# 📌 Section C: Use ChatGPT to summarize and compare" + ] + }, + { + "cell_type": "markdown", + "id": "4e8de5f9-c2b6-4d6f-9cde-c1275ec0be83", + "metadata": {}, + "source": [ + "## Section C.1: Define system_prompt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30dc6c3a-d7a1-4837-9d57-00c4b2d63092", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = \"You are a technical assistant helping to compare electronic component datasheets.\"" + ] + }, + { + "cell_type": "markdown", + "id": "5bf19f66-89f2-4fbf-b5d6-ff1f8e06ba6d", + "metadata": {}, + "source": [ + "## Section C.2: Define user_prompt, summerize and compare" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ff4e362-11d4-4737-a10e-1953ac0eac55", + "metadata": {}, + "outputs": [], + "source": [ + "def summarize_datasheet(text, part_name, system_prompt):\n", + " user_prompt = f\"\"\"\n", + " Summarize the most important technical characteristics of the electronic component '{part_name}' based on this datasheet text:\n", + " ---\n", + " {text}\n", + " ---\n", + " Give a structured list of properties like voltage, current, dimensions, operating temperature, etc.\n", + " \"\"\"\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]\n", + " )\n", + " return response.choices[0].message.content\n", + " \n", + "def compare_parts(text1, text2, system_prompt):\n", + " user_prompt = f\"\"\"\n", + " Compare the following two summaries of electronic components and evaluate whether the second part is a valid replacement for the first one.\n", + " Identify any differences in electrical specs, mechanical dimensions, and compliance with medical device requirements.\n", + " Suggest what changes would be required to use the second part in place of the first (e.g., schematic/layout changes).\n", + " \n", + " Old Part Summary:\n", + " {text1}\n", + "\n", + " New Part Summary:\n", + " {text2}\n", + "\n", + " Provide a table of differences and a short final recommendation.\n", + " \"\"\"\n", + " response = openai.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt}\n", + " ]\n", + " )\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "id": "92524623-b1f9-4b55-9056-d02c41457df4", + "metadata": {}, + "source": [ + "# 📌 Section D: Put it all together and print it nicely." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ebd172eb-a8fb-4308-95c7-fee8f3f250ae", + "metadata": {}, + "outputs": [], + "source": [ + "def display_summary_and_compare(part1, part2, system_prompt):\n", + " content1 = extract_text_from_pdf(part1)\n", + " content2 = extract_text_from_pdf(part2)\n", + " summary1 = summarize_datasheet(content1, \"Old Part\", system_prompt)\n", + " summary2 = summarize_datasheet(content2, \"New Part\", system_prompt)\n", + " compare = compare_parts(summary1, summary2, system_prompt)\n", + " report = summary1 + summary2 + compare\n", + " display(Markdown(report))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab2f1cfb-7e7b-429d-9f53-68524f93afbf", + "metadata": {}, + "outputs": [], + "source": [ + "display_summary_and_compare(pdf_path_1, pdf_path_2, system_prompt)" + ] + }, + { + "cell_type": "markdown", + "id": "09c76689-db27-4fa4-9fb2-4ac1d4d111fb", + "metadata": {}, + "source": [ + "# 📌 Section E: Next Steps (to be developed)" + ] + }, + { + "cell_type": "markdown", + "id": "8ade0b16-52a6-4af4-a1ae-d0a505bf87a0", + "metadata": {}, + "source": [ + "# - Parse key properties into structured tables (e.g., using regex or ChatGPT)" + ] + }, + { + "cell_type": "markdown", + "id": "2a7f6e50-1490-47ef-b911-278981636528", + "metadata": {}, + "source": [ + "# - Automatically download datasheets from distributor websites" + ] + }, + { + "cell_type": "markdown", + "id": "740bdc6d-48e4-4c7f-b7e9-4bb0d86b653f", + "metadata": {}, + "source": [ + "# - Search for compatible parts via web APIs" + ] + }, + { + "cell_type": "markdown", + "id": "adda4dda-8bed-423b-a9c2-87f988ffa391", + "metadata": {}, + "source": [ + "# - Export results to Excel or Markdown" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (datasheet_env)", + "language": "python", + "name": "datasheet_env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 98bd4c98d4a9c03473d15067ea270614c712a3ed Mon Sep 17 00:00:00 2001 From: Peter Wolf Date: Sat, 10 May 2025 18:03:27 +0200 Subject: [PATCH 30/31] Add example datasheets for datasheet comparator notebook --- .../datasheets/part_new.pdf | Bin 0 -> 1577295 bytes 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Pyppeteer will download Chromium on its own - no need to have Chrome installed. Handy when you don't have UI. --- .../page-summarizer.py | 225 ++++++++++++++++++ .../requirements.txt | 7 + 2 files changed, 232 insertions(+) create mode 100644 week1/community-contributions/llm-page-summarizer-with-pyppeteer/page-summarizer.py create mode 100644 week1/community-contributions/llm-page-summarizer-with-pyppeteer/requirements.txt diff --git a/week1/community-contributions/llm-page-summarizer-with-pyppeteer/page-summarizer.py b/week1/community-contributions/llm-page-summarizer-with-pyppeteer/page-summarizer.py new file mode 100644 index 0000000..d9a1a2c --- /dev/null +++ b/week1/community-contributions/llm-page-summarizer-with-pyppeteer/page-summarizer.py @@ -0,0 +1,225 @@ +import dotenv +import asyncio + +import os +os.environ['PYPPETEER_CHROMIUM_REVISION'] = '1263111' + +from rich.console import Console +from rich.markdown import Markdown +from openai import OpenAI +from openai.types.chat import ChatCompletion +from typing import Optional, Union, Dict, List +from pyppeteer import launch +from pyppeteer_stealth import stealth +from random import randint + +console = Console() + +class Config: + def __init__(self, filename: str = ".env"): + dotenv.load_dotenv(filename) + self._config = dotenv.dotenv_values(filename) + + def get(self, key: str) -> str: + return self._config.get(key, None) + + def get_int(self, key: str) -> int: + value = self.get(key) + if value is not None: + return int(value) + return None + + def get_bool(self, key: str) -> bool: + value = self.get(key) + if value is not None: + return value.lower() in ("true", "1", "yes") + return None + + @property + def openai_api_key(self) -> str: + return self.get("OPENAI_API_KEY") + +class Website: + + __url: str + __title: str + __text: str + + @property + def url(self) -> str: + return self.__url + + @property + def title(self) -> str: + return self.__title + + @property + def text(self) -> str: + return self.__text + + @url.setter + def url(self, url: str) -> None: + self.__url = url + self.__scrape() + + def __scrape(self) -> None: + """ + Scrape the website using pyppeteer. + """ + import asyncio + async def main() -> None: + browser = await launch(headless=True) + page = await browser.newPage() + await stealth(page) + + # randomize user agent + user_agents: List[str] = [ + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36", + "Mozilla/5.0 (Macintosh; Intel Mac OS X 13_0) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.0 Safari/605.1.15", + "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36", + ] + ua = user_agents[randint(0, len(user_agents) - 1)] + await page.setUserAgent(ua) + await page.setRequestInterception(True) + page.on("request", lambda req: asyncio.ensure_future( + req.abort() if req.resourceType == "stylesheet" else req.continue_() + )) + + try: + await page.goto(self.url, {"timeout": 60000}) + self.__title = await page.title() + self.__text = await page.evaluate('() => document.body.innerText') + except Exception as e: + console.print(f"[red]Error scraping {self.url}: {e}[red]") + finally: + await page.close() + await browser.close() + + asyncio.run(main()) + + def __init__(self, url: str) -> None: + self.url = url + + def __str__(self) -> str: + return f"Website(url={self.url}, title=\"{self.title}\")" + +class LlmSummarizer: + #region Config + __config: Config + @property + def config(self) -> Config: + if self.__config is None: + raise ValueError("Config not initialized") + return self.__config + #endregion + + #region OpenAI + __openai: OpenAI = None + + @property + def openai(self) -> OpenAI: + """ + Lazy load the OpenAI client. This is done to avoid creating the client if it's not needed. + """ + if self.__openai is None: + self.__openai = OpenAI(api_key=self.config.openai_api_key) + return self.__openai + + #endregion + + #region System behavior + __system_behavior: Dict[str, str] = None + + @property + def system_behavior(self) -> Dict[str, str]: + """ + Lazy load the system behavior. This is done to avoid creating the system behavior if it's not needed. + """ + if self.__system_behavior is None: + self.__system_behavior = { + "role": "system", + "content": ( + "You are an assistant that analyzes the contents of a website " + "and provides a short summary, ignoring the text that might be navigation-related." + "Respond in markdown and be concise." + ) + } + return self.__system_behavior + + #endregion + + #region user_prompt_for + + def user_prompt_for(self, website: Website) -> Dict[str, str]: + user_prompt_content: str = ( + f"You are looking at the website titled \"{website.title}\"" + "The content of this website is as follows; " + "please provide a short summary of this website in markdown." + "If it includes news or announcements, then summarize these too.\n\n" + f"\"\"\"\n{website.text}\n\"\"\"\n\n" + ) + return { + "role": "user", + "content": user_prompt_content + } + + #endregion + + #region messages_for + + def messages_for(self, website: Website) -> List[Dict[str, str]]: + """ + Create the messages for the OpenAI API. + """ + return [ + self.system_behavior, + self.user_prompt_for(website) + ] + + #endregion + + #region summarize + + def summarize(self, website: Union[Website, str]) -> Optional[str]: + """ + Summarize the website using the OpenAI API. + """ + if isinstance(website, str): + website = Website(website) + messages: List[Dict[str, str]] = self.messages_for(website) + try: + response: ChatCompletion = self.openai.chat.completions.create( + model="gpt-4o-mini", + messages=messages, + temperature=0.2, + max_tokens=512, + ) + return response.choices[0].message.content + except Exception as e: + console.print(f"[red]Error summarizing {website if isinstance(website, str) else website.url}: {e}[red]") + return None + + #endregion + + def __init__(self, config: Config) -> None: + self.__config = config + +def display_markdown(content: str) -> None: + """ + Display the markdown content using rich. + """ + console.print(Markdown(content)) + +def show_summary(summary: str) -> None: + """ + Show the summary of the website using rich. + """ + if summary: + display_markdown(summary) + else: + console.print("No summary found.") + +if __name__ == "__main__": + summarizer = LlmSummarizer(Config()) + summary = summarizer.summarize("https://cnn.com") + show_summary(summary) \ No newline at end of file diff --git a/week1/community-contributions/llm-page-summarizer-with-pyppeteer/requirements.txt b/week1/community-contributions/llm-page-summarizer-with-pyppeteer/requirements.txt new file mode 100644 index 0000000..363e1dc --- /dev/null +++ b/week1/community-contributions/llm-page-summarizer-with-pyppeteer/requirements.txt @@ -0,0 +1,7 @@ +beautifulsoup4 +openai +dotenv +requests +rich +pyppeteer +pyppeteer_stealth \ No newline at end of file