Merge pull request #403 from Fikriraihan/community-contributions-branch
Community contributions branch
This commit is contained in:
Ed Donner
GitHub
261
week1/community-contributions/day-1-github-information.ipynb
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261
week1/community-contributions/day-1-github-information.ipynb
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4d011f3d-c10c-4a75-bd36-576e383a8d1d",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"import requests\n",
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"from dotenv import load_dotenv\n",
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"from bs4 import BeautifulSoup\n",
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"from IPython.display import Markdown, display\n",
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"from openai import OpenAI\n",
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"\n",
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"\n",
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"# If you get an error running this cell, then please head over to the troubleshooting notebook!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c51302e0-c848-4ec4-a0ab-03deeb9e7987",
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"metadata": {},
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"outputs": [],
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"source": [
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"load_dotenv(override=True)\n",
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"api_key = os.getenv('OPENAI_API_KEY')\n",
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"\n",
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"if not api_key:\n",
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" print('No Api Key was found')\n",
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"elif not api_key.startswith('sk-proj-'):\n",
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" print(\"An api key was found, but it doesnt start with sk-proj\")\n",
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"elif api_key.strip() != api_key:\n",
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" print(\"An api key was found, but it might have space in the first or end\")\n",
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"else:\n",
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" print(\"Api key found and looks good so far!\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d1df04f3-bd4d-4b14-87cc-1e91eaf7c0ab",
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"metadata": {},
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"outputs": [],
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"source": [
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"openai = OpenAI()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "340b018a-6e97-491c-aa26-66c683ece8a0",
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"metadata": {},
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"outputs": [],
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"source": [
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"message = \"Hello GPT, this is my first message\"\n",
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"response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=[{\"role\": \"user\", \"content\":message}])\n",
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"print(response.choices[0].message.content)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4a06c291-2fe6-4669-a8b6-3b67769eb3fa",
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"metadata": {},
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"outputs": [],
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"source": [
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"headers = {\n",
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" \"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",
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"}\n",
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"\n",
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"class Website:\n",
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"\n",
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" def __init__(self, url):\n",
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" \"\"\"\n",
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" Create this Website object from the given url using the BeautifulSoup library\n",
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" \"\"\"\n",
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" self.url = url\n",
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" response = requests.get(url, headers=headers)\n",
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" soup = BeautifulSoup(response.content, 'html.parser')\n",
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" self.title = soup.title.string if soup.title else \"No title found\"\n",
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" for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
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" irrelevant.decompose()\n",
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" self.text = soup.body.get_text(separator=\"\\n\", strip=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "dd36b141-a252-44a8-8fa4-d4c2c33d3db9",
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"metadata": {},
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"outputs": [],
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"source": [
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"github = Website(\"https://github.com/Fikriraihan\")\n",
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"print(github.title)\n",
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"print(github.text)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ea402ba2-6c7f-4f96-95c0-d68a0e96e644",
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"metadata": {},
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"outputs": [],
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"source": [
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"system_prompt = \"You are a skilled GitHub profile analyzer. \" \\\n",
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"\"Your job is to take the provided GitHub profile or repository URL and generate a clear, structured summary covering these points: \" \\\n",
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"\"1️⃣ **Profile Summary** \" \\\n",
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"\"- Username \" \\\n",
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"\"- Bio (if available) \" \\\n",
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"\"- Total public repositories \" \\\n",
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"\"- Total followers \" \\\n",
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"\"- Total stars received (sum across repos) \" \\\n",
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"\"- Top programming languages (by repo count) \" \\\n",
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"\"2️⃣ **Repository Highlights** (top 3 by stars or activity) \" \\\n",
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"\"For each: \" \\\n",
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"\"- Repository name \" \\\n",
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"\"- Description \" \\\n",
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"\"- Primary language \" \\\n",
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"\"- Star count \" \\\n",
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"\"- Last updated date \" \\\n",
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"\"- Notable technologies or frameworks used \" \\\n",
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"\"3️⃣ **Overall Assessment** \" \\\n",
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"\"- What does this user specialize in? \" \\\n",
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"\"- Are they more focused on personal projects or collaborations? \" \\\n",
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"\"- Any standout strengths or skills you notice? \" \\\n",
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"\"4️⃣ **Recommendations** \" \\\n",
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"\"- Suggest one area or technology they could explore next to grow. \" \\\n",
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"\"- Suggest one improvement to make their GitHub profile more appealing. \" \\\n",
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"\"Be concise, insightful, and encourage the user’s growth. \" \\\n",
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"\"If some data is missing, state it clearly instead of guessing.\"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a964e8f2-40f4-457b-9c81-7e6e2768f450",
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"metadata": {},
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"outputs": [],
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"source": [
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"def user_prompt_for(website):\n",
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" user_prompt = f\"You are looking at a github named {website.title}\"\n",
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" user_prompt += \"\\nThe contents of this github is as follows; \\\n",
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"please provide a summary of this website in markdown.\"\n",
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" user_prompt += website.text\n",
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" return user_prompt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "026d8ae4-1aea-45b9-b694-db0809527780",
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"metadata": {},
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"outputs": [],
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"source": [
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"system_prompt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2e040916-8d7e-421b-b1a7-56e710940eaa",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(user_prompt_for(github))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "11bc74b0-7ca7-40da-81cc-84b2dd04780b",
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"metadata": {},
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"outputs": [],
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"source": [
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"messages_for(github)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e64f497f-3742-4d70-9e15-29d1974b3361",
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"metadata": {},
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"outputs": [],
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"source": [
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"def summarize(url):\n",
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" website = Website(url)\n",
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" response = openai.chat.completions.create(\n",
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" model = \"gpt-4o-mini\",\n",
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" messages = messages_for(website)\n",
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" )\n",
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" return response.choices[0].message.content"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "95d0938d-0b26-4253-94a6-ac9240e7a8c9",
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"metadata": {},
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"outputs": [],
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"source": [
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"summarize(\"https://github.com/Fikriraihan\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cd863db3-731a-46d8-ac14-f74f8ae39bd4",
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"metadata": {},
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"outputs": [],
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"source": [
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"def display_summary(url):\n",
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" summary = summarize(url)\n",
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" display(Markdown(summary))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "70c5c3aa-2c06-460b-9c4f-6465d2c8611c",
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"metadata": {},
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"outputs": [],
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"source": [
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"display_summary(\"https://github.com/Fikriraihan\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f3dfe6e3-dfd2-4acd-a2e4-681873c650c8",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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