diff --git a/community-contributions/WebScraperApp/week1_day2_ak.ipynb b/community-contributions/WebScraperApp/week1_day2_ak.ipynb new file mode 100644 index 0000000..cfe29e7 --- /dev/null +++ b/community-contributions/WebScraperApp/week1_day2_ak.ipynb @@ -0,0 +1,1035 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d15d8294-3328-4e07-ad16-8a03e9bbfdb9", + "metadata": {}, + "source": [ + "# Welcome to the Day 2 Lab!\n" + ] + }, + { + "cell_type": "markdown", + "id": "ada885d9-4d42-4d9b-97f0-74fbbbfe93a9", + "metadata": {}, + "source": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + "

Just before we get started --

\n", + " I thought I'd take a second to point you at this page of useful 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": "79ffe36f", + "metadata": {}, + "source": [ + "## First - let's talk about the Chat Completions API\n", + "\n", + "1. The simplest way to call an LLM\n", + "2. It's called Chat Completions because it's saying: \"here is a conversation, please predict what should come next\"\n", + "3. The Chat Completions API was invented by OpenAI, but it's so popular that everybody uses it!\n", + "\n", + "### We will start by calling OpenAI again - but don't worry non-OpenAI people, your time is coming!\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "e38f17a0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API key found and looks good so far!\n" + ] + } + ], + "source": [ + "import os\n", + "from dotenv import load_dotenv\n", + "\n", + "load_dotenv(override=True)\n", + "api_key = os.getenv('OPENAI_API_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", + "else:\n", + " print(\"API key found and looks good so far!\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "97846274", + "metadata": {}, + "source": [ + "## Do you know what an Endpoint is?\n", + "\n", + "If not, please review the Technical Foundations guide in the guides folder\n", + "\n", + "And, here is an endpoint that might interest you..." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5af5c188", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'model': 'gpt-5-nano',\n", + " 'messages': [{'role': 'user', 'content': 'Tell me a fun fact'}]}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import requests\n", + "\n", + "headers = {\"Authorization\": f\"Bearer {api_key}\", \"Content-Type\": \"application/json\"}\n", + "\n", + "payload = {\n", + " \"model\": \"gpt-5-nano\",\n", + " \"messages\": [\n", + " {\"role\": \"user\", \"content\": \"Tell me a fun fact\"}]\n", + "}\n", + "\n", + "payload" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2d0ab242", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': 'chatcmpl-CRaBOfilI65j2z7nHeFjyq6bHAsjw',\n", + " 'object': 'chat.completion',\n", + " 'created': 1760689978,\n", + " 'model': 'gpt-5-nano-2025-08-07',\n", + " 'choices': [{'index': 0,\n", + " 'message': {'role': 'assistant',\n", + " 'content': 'Bananas are berries, but strawberries aren’t. Botanically, a berry comes from a single ovary and has seeds inside; bananas fit that definition, while strawberries do not.',\n", + " 'refusal': None,\n", + " 'annotations': []},\n", + " 'finish_reason': 'stop'}],\n", + " 'usage': {'prompt_tokens': 11,\n", + " 'completion_tokens': 749,\n", + " 'total_tokens': 760,\n", + " 'prompt_tokens_details': {'cached_tokens': 0, 'audio_tokens': 0},\n", + " 'completion_tokens_details': {'reasoning_tokens': 704,\n", + " 'audio_tokens': 0,\n", + " 'accepted_prediction_tokens': 0,\n", + " 'rejected_prediction_tokens': 0}},\n", + " 'service_tier': 'default',\n", + " 'system_fingerprint': None}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "response = requests.post(\n", + " \"https://api.openai.com/v1/chat/completions\",\n", + " headers=headers,\n", + " json=payload\n", + ")\n", + "\n", + "response.json()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cb11a9f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Bananas are berries, but strawberries aren’t. Botanically, a berry comes from a single ovary and has seeds inside; bananas fit that definition, while strawberries do not.'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "response.json()[\"choices\"][0][\"message\"][\"content\"]" + ] + }, + { + "cell_type": "markdown", + "id": "cea3026a", + "metadata": {}, + "source": [ + "# What is the openai package?\n", + "\n", + "It's known as a Python Client Library.\n", + "\n", + "It's nothing more than a wrapper around making this exact call to the http endpoint.\n", + "\n", + "It just allows you to work with nice Python code instead of messing around with janky json objects.\n", + "\n", + "But that's it. It's open-source and lightweight. Some people think it contains OpenAI model code - it doesn't!\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "490fdf09", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Fun fact: Wombat poop is cube-shaped, not round. The cube form comes from the way their intestines remove water and shape the feces, helping it stack neatly and not roll away when wombats mark their territory.'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create OpenAI client\n", + "\n", + "from openai import OpenAI\n", + "openai = OpenAI()\n", + "\n", + "response = openai.chat.completions.create(model=\"gpt-5-nano\", messages=[{\"role\": \"user\", \"content\": \"Tell me a fun fact\"}])\n", + "\n", + "response.choices[0].message.content\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "c7739cda", + "metadata": {}, + "source": [ + "## And then this great thing happened:\n", + "\n", + "OpenAI's Chat Completions API was so popular, that the other model providers created endpoints that are identical.\n", + "\n", + "They are known as the \"OpenAI Compatible Endpoints\".\n", + "\n", + "For example, google made one here: https://generativelanguage.googleapis.com/v1beta/openai/\n", + "\n", + "And OpenAI decided to be kind: they said, hey, you can just use the same client library that we made for GPT. We'll allow you to specify a different endpoint URL and a different key, to use another provider.\n", + "\n", + "So you can use:\n", + "\n", + "```python\n", + "gemini = OpenAI(base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\", api_key=\"AIz....\")\n", + "gemini.chat.completions.create(...)\n", + "```\n", + "\n", + "And to be clear - even though OpenAI is in the code, we're only using this lightweight python client library to call the endpoint - there's no OpenAI model involved here.\n", + "\n", + "If you're confused, please review Guide 9 in the Guides folder!\n", + "\n", + "And now let's try it!" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f74293bc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "API key found and looks good so far!\n" + ] + } + ], + "source": [ + "GEMINI_BASE_URL = \"https://generativelanguage.googleapis.com/v1beta/openai/\"\n", + "\n", + "google_api_key = os.getenv(\"GOOGLE_API_KEY\")\n", + "\n", + "if not google_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 google_api_key.startswith(\"AIz\"):\n", + " print(\"An API key was found, but it doesn't start AIz\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d060f484", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The dot over a lowercase \"i\" or \"j\" isn\\'t just a dot—it has a name.\\n\\nIt\\'s called a **tittle**.'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gemini = OpenAI(base_url=GEMINI_BASE_URL, api_key=google_api_key)\n", + "\n", + "response = gemini.chat.completions.create(model=\"gemini-2.5-pro\", messages=[{\"role\": \"user\", \"content\": \"Tell me a fun fact\"}])\n", + "\n", + "response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5b069be", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "65272432", + "metadata": {}, + "source": [ + "## And Ollama also gives an OpenAI compatible endpoint\n", + "\n", + "...and it's on your local machine!\n", + "\n", + "If the next cell doesn't print \"Ollama is running\" then please open a terminal and run `ollama serve`" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f06280ad", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "b'Ollama is running'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "requests.get(\"http://localhost:11434\").content" + ] + }, + { + "cell_type": "markdown", + "id": "c6ef3807", + "metadata": {}, + "source": [ + "### Download llama3.2 from meta\n", + "\n", + "Change this to llama3.2:1b if your computer is smaller.\n", + "\n", + "Don't use llama3.3 or llama4! They are too big for your computer.." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e633481d", + "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\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": [ + "!ollama pull llama3.2" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d9419762", + "metadata": {}, + "outputs": [], + "source": [ + "OLLAMA_BASE_URL = \"http://localhost:11434/v1\"\n", + "\n", + "ollama = OpenAI(base_url=OLLAMA_BASE_URL, api_key='ollama')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "e2456cdf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Did you know that there is a species of jellyfish that is immortal? The Turritopsis dohrnii, also known as the \"immortal jellyfish,\" can transform its body into a younger state through a process called transdifferentiation. This means it can essentially revert back to its polyp stage and grow back into an adult jellyfish, making it theoretically immortal!'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Get a fun fact\n", + "\n", + "response = ollama.chat.completions.create(model=\"llama3.2\", messages=[{\"role\": \"user\", \"content\": \"Tell me a fun fact\"}])\n", + "\n", + "response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "1e6cae7f", + "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 ⠸ 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13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 17% ▕███ ▏ 188 MB/1.1 GB 70 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 17% ▕███ ▏ 192 MB/1.1 GB 70 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 18% ▕███ ▏ 199 MB/1.1 GB 70 MB/s 13s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 19% ▕███ ▏ 209 MB/1.1 GB 70 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 20% ▕███ ▏ 218 MB/1.1 GB 71 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 20% ▕███ ▏ 223 MB/1.1 GB 71 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 21% ▕███ ▏ 232 MB/1.1 GB 71 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 22% ▕███ ▏ 240 MB/1.1 GB 71 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 22% ▕███ ▏ 245 MB/1.1 GB 71 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 23% ▕████ ▏ 254 MB/1.1 GB 71 MB/s 12s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 24% ▕████ ▏ 263 MB/1.1 GB 71 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 24% ▕████ ▏ 266 MB/1.1 GB 71 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 25% ▕████ ▏ 275 MB/1.1 GB 71 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 26% ▕████ ▏ 286 MB/1.1 GB 71 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 26% ▕████ ▏ 290 MB/1.1 GB 72 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 27% ▕████ ▏ 298 MB/1.1 GB 72 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 28% ▕████ ▏ 308 MB/1.1 GB 72 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 28% ▕█████ ▏ 313 MB/1.1 GB 72 MB/s 11s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 29% ▕█████ ▏ 322 MB/1.1 GB 72 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 30% ▕█████ ▏ 330 MB/1.1 GB 72 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 30% ▕█████ ▏ 335 MB/1.1 GB 72 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 31% ▕█████ ▏ 344 MB/1.1 GB 72 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 32% ▕█████ ▏ 353 MB/1.1 GB 72 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 32% ▕█████ ▏ 357 MB/1.1 GB 72 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 33% ▕█████ ▏ 365 MB/1.1 GB 73 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 33% ▕██████ ▏ 373 MB/1.1 GB 73 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 34% ▕██████ ▏ 378 MB/1.1 GB 73 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 35% ▕██████ ▏ 387 MB/1.1 GB 73 MB/s 10s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 36% ▕██████ ▏ 396 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 36% ▕██████ ▏ 400 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 37% ▕██████ ▏ 409 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 37% ▕██████ ▏ 418 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 38% ▕██████ ▏ 422 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 38% ▕██████ ▏ 427 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 39% ▕███████ ▏ 438 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 40% ▕███████ ▏ 443 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 40% ▕███████ ▏ 452 MB/1.1 GB 73 MB/s 9s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 41% ▕███████ ▏ 462 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 42% ▕███████ ▏ 463 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 42% ▕███████ ▏ 474 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 43% ▕███████ ▏ 485 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 44% ▕███████ ▏ 489 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 45% ▕████████ ▏ 500 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 46% ▕████████ ▏ 509 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 46% ▕████████ ▏ 512 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 47% ▕████████ ▏ 523 MB/1.1 GB 73 MB/s 8s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 48% ▕████████ ▏ 533 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 48% ▕████████ ▏ 537 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 48% ▕████████ ▏ 540 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 50% ▕████████ ▏ 553 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 50% ▕████████ ▏ 558 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 51% ▕█████████ ▏ 565 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 51% ▕█████████ ▏ 567 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 52% ▕█████████ ▏ 580 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 53% ▕█████████ ▏ 587 MB/1.1 GB 73 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 54% ▕█████████ ▏ 598 MB/1.1 GB 74 MB/s 7s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 54% ▕█████████ ▏ 599 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 54% ▕█████████ ▏ 607 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 55% ▕█████████ ▏ 619 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 56% ▕██████████ ▏ 624 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 57% ▕██████████ ▏ 632 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 57% ▕██████████ ▏ 641 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 58% ▕██████████ ▏ 646 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 59% ▕██████████ ▏ 655 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 59% ▕██████████ ▏ 664 MB/1.1 GB 74 MB/s 6s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest 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5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 64% ▕███████████ ▏ 714 MB/1.1 GB 74 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 65% ▕███████████ ▏ 721 MB/1.1 GB 74 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 65% ▕███████████ ▏ 725 MB/1.1 GB 74 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 65% ▕███████████ ▏ 728 MB/1.1 GB 74 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 66% ▕███████████ ▏ 737 MB/1.1 GB 74 MB/s 5s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 67% 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1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 91% ▕████████████████ ▏ 1.0 GB/1.1 GB 73 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 91% ▕████████████████ ▏ 1.0 GB/1.1 GB 72 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 92% ▕████████████████ ▏ 1.0 GB/1.1 GB 72 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 92% ▕████████████████ ▏ 1.0 GB/1.1 GB 72 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 93% ▕████████████████ ▏ 1.0 GB/1.1 GB 72 MB/s 1s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 94% ▕████████████████ ▏ 1.0 GB/1.1 GB 72 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 94% ▕████████████████ ▏ 1.0 GB/1.1 GB 72 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 94% ▕████████████████ ▏ 1.1 GB/1.1 GB 72 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 95% ▕█████████████████ ▏ 1.1 GB/1.1 GB 72 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 95% ▕█████████████████ ▏ 1.1 GB/1.1 GB 72 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 95% ▕█████████████████ ▏ 1.1 GB/1.1 GB 72 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 96% ▕█████████████████ ▏ 1.1 GB/1.1 GB 69 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 96% ▕█████████████████ ▏ 1.1 GB/1.1 GB 69 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 96% ▕█████████████████ ▏ 1.1 GB/1.1 GB 69 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 96% ▕█████████████████ ▏ 1.1 GB/1.1 GB 69 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 97% ▕█████████████████ ▏ 1.1 GB/1.1 GB 69 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling 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0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 99% ▕█████████████████ ▏ 1.1 GB/1.1 GB 65 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 99% ▕█████████████████ ▏ 1.1 GB/1.1 GB 65 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 99% ▕█████████████████ ▏ 1.1 GB/1.1 GB 65 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕█████████████████ ▏ 1.1 GB/1.1 GB 65 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕█████████████████ ▏ 1.1 GB/1.1 GB 65 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕█████████████████ ▏ 1.1 GB/1.1 GB 65 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕█████████████████ ▏ 1.1 GB/1.1 GB 65 MB/s 0s\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B 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c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling 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\u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\n", + "pulling a85fe2a2e58e: 100% ▕██████████████████▏ 487 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\n", + "pulling a85fe2a2e58e: 100% ▕██████████████████▏ 487 B \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[1Gpulling manifest \u001b[K\n", + "pulling aabd4debf0c8: 100% ▕██████████████████▏ 1.1 GB \u001b[K\n", + "pulling c5ad996bda6e: 100% ▕██████████████████▏ 556 B \u001b[K\n", + "pulling 6e4c38e1172f: 100% ▕██████████████████▏ 1.1 KB \u001b[K\n", + "pulling f4d24e9138dd: 100% ▕██████████████████▏ 148 B \u001b[K\n", + "pulling a85fe2a2e58e: 100% ▕██████████████████▏ 487 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Here\\'s a fun fact for you:\\n\\n### The Missing Universe - A New Era in Astronomy\\nIn 2018, astronomers released a groundbreaking video titled *The Missing Universe*, which provided the first direct evidence of dark matter and dark energy, marking the beginning of the \"new era\" in astronomy that we\\'re all waiting for.\\n\\nDark matter is a mysterious substance that makes up approximately 55% of the matter in the universe. Scientists have long puzzled over it despite its name (it doesn\\'t emit light or heat), and many theories remain unproven. However, *The Missing Universe* showed us there\\'s evidence of these \"missing\" forces at play by capturing a massive galaxy within an hour-long video.\\n\\nThis discovery has opened up entirely new possibilities for understanding the universe\\'s structure and evolution.'" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "response = ollama.chat.completions.create(model=\"deepseek-r1:1.5b\", messages=[{\"role\": \"user\", \"content\": \"Tell me a fun fact\"}])\n", + "\n", + "response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "id": "6e9fa1fc-eac5-4d1d-9be4-541b3f2b3458", + "metadata": {}, + "source": [ + "# HOMEWORK EXERCISE ASSIGNMENT\n", + "\n", + "Upgrade the day 1 project to summarize a webpage to use an Open Source model running locally via Ollama rather than OpenAI\n", + "\n", + "You'll be able to use this technique for all subsequent projects if you'd prefer not to use paid APIs.\n", + "\n", + "**Benefits:**\n", + "1. No API charges - open-source\n", + "2. Data doesn't leave your box\n", + "\n", + "**Disadvantages:**\n", + "1. Significantly less power than Frontier Model\n", + "\n", + "## Recap on installation of Ollama\n", + "\n", + "Simply visit [ollama.com](https://ollama.com) and install!\n", + "\n", + "Once complete, the ollama server should already be running locally. \n", + "If you visit: \n", + "[http://localhost:11434/](http://localhost:11434/)\n", + "\n", + "You should see the message `Ollama is running`. \n", + "\n", + "If not, bring up a new Terminal (Mac) or Powershell (Windows) and enter `ollama serve` \n", + "And in another Terminal (Mac) or Powershell (Windows), enter `ollama pull llama3.2` \n", + "Then try [http://localhost:11434/](http://localhost:11434/) again.\n", + "\n", + "If Ollama is slow on your machine, try using `llama3.2:1b` as an alternative. Run `ollama pull llama3.2:1b` from a Terminal or Powershell, and change the code from `MODEL = \"llama3.2\"` to `MODEL = \"llama3.2:1b\"`" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6de38216-6d1c-48c4-877b-86d403f4e0f8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "Here are the summarized business developments from Lime, Dotta-Tier, Voi, and Bird, sorted by company and industry development, along with a rate of importance:\n", + "\n", + "**Company Developments**\n", + "\n", + "1. **Dott**: Raises €40 million through bond issue (Importance: 8/10) - Voi Technology uses this funding for its expansion in the Paris region.\n", + "2. **Lime UK**: Revenues up 75% in 2024 (Importance: 7.5/10) - Lime expands its fleet and introduces foot patrols in Milwaukee.\n", + "3. **Bird**: No recent news available.\n", + "\n", + "**Industry Developments**\n", + "\n", + "1. **Paris Region Shared E-Bikes**: Voi joins Lime and Dott to operate shared e-bikes (Importance: 9/10) - This partnership strengthens the region's micromobility landscape.\n", + "2. **Germany Micromobility Expansion**: Lime launches bike-sharing system in Stuttgart region (Importance: 8.5/10)\n", + "3. **Paris E-Bike Rental Market**: Competition increases with Voi, Lime, and Dott operating together (Importance: 8/10)\n", + "4. **UK Electric Vehicle Study**: Toyota-led consortium receives funding for light EV study (Importance: 6.5/10) - Relevant to the micromobility industry, but not directly related to micromobility companies.\n", + "5. **Seattle Shared Micromobility Growth**: City hits 7 million shared micromobility trips (Importance: 7/10)\n", + "\n", + "Note that the importance ratings are subjective and based on various factors such as the significance of the announcement, its potential impact on the industry, and the company's overall performance." + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### Imports and basic setup\n", + "\n", + "from scraper import fetch_website_contents\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n", + "\n", + "\n", + "OLLAMA_BASE_URL = \"http://localhost:11434/v1\"\n", + "ollama = OpenAI(base_url=OLLAMA_BASE_URL, api_key='ollama')\n", + "\n", + "### Prompts\n", + "\n", + "system_prompt = \"\"\"\n", + "You are a proffesional assistant that summerizes news about micromobility. \n", + "Be consice, data driven and nice to read. \n", + "\"\"\"\n", + "user_prompt = \"\"\"\n", + "Take the content of the website and provide a short summery of the business developvement.\n", + "Sort it by company and by general industry developments. Only show new about Lime, Dott-Tier, Voi and Bird.\n", + "For each output, provide a rate of its importance.\n", + "Order the news by importance.\n", + "\"\"\"\n", + "\n", + "### Getting website content\n", + "\n", + "micromobility = fetch_website_contents(\"https://micromobility.io/news\")\n", + "\n", + "def messages_for(website):\n", + " return [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_prompt + website}\n", + " ]\n", + "\n", + "### Summarization\n", + "\n", + "def summarize(url):\n", + " website = fetch_website_contents(url)\n", + " response = ollama.chat.completions.create(\n", + " model = \"llama3.2\",\n", + " messages = messages_for(website)\n", + " )\n", + " return response.choices[0].message.content\n", + "\n", + "def display_summary(url):\n", + " summary = summarize(url)\n", + " display(Markdown(summary))\n", + "\n", + "display_summary (\"https://micromobility.io/news\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73674d1b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}