feat: add week 1, day 1 exercise notebook
This commit is contained in:
Nacho González Bullón
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "cab13efd-a1f4-4077-976e-e3912511117f",
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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 re\n",
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"from dotenv import load_dotenv\n",
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"from IPython.display import Markdown, display\n",
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"from openai import 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": 2,
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"id": "c226f54b-325c-49b1-9d99-207a8e306682",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: youtube_transcript_api in /Users/nachogonzalezbullon/miniconda3/envs/llms/lib/python3.11/site-packages (1.1.1)\n",
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"Requirement already satisfied: defusedxml<0.8.0,>=0.7.1 in /Users/nachogonzalezbullon/miniconda3/envs/llms/lib/python3.11/site-packages (from youtube_transcript_api) (0.7.1)\n",
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"Requirement already satisfied: requests in /Users/nachogonzalezbullon/miniconda3/envs/llms/lib/python3.11/site-packages (from youtube_transcript_api) (2.32.4)\n",
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"Requirement already satisfied: charset_normalizer<4,>=2 in /Users/nachogonzalezbullon/miniconda3/envs/llms/lib/python3.11/site-packages (from requests->youtube_transcript_api) (3.4.2)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /Users/nachogonzalezbullon/miniconda3/envs/llms/lib/python3.11/site-packages (from requests->youtube_transcript_api) (3.10)\n",
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"Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/nachogonzalezbullon/miniconda3/envs/llms/lib/python3.11/site-packages (from requests->youtube_transcript_api) (2.5.0)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /Users/nachogonzalezbullon/miniconda3/envs/llms/lib/python3.11/site-packages (from requests->youtube_transcript_api) (2025.7.9)\n"
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]
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}
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],
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"source": [
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"!pip install youtube_transcript_api"
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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": 3,
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"id": "717fc2a4-b6c5-4027-9e6b-05e83c38d02f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from youtube_transcript_api import YouTubeTranscriptApi"
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]
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},
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{
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"metadata": {},
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"cell_type": "code",
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"outputs": [],
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"execution_count": 4,
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"source": [
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"# Load environment variables in a file called .env\n",
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"\n",
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"load_dotenv(override=True)\n",
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"api_key = os.getenv('OPENAI_API_KEY')"
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],
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"id": "3caca469-5f39-4592-bf12-c8832c44de19"
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},
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{
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"metadata": {},
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"cell_type": "code",
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"outputs": [],
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"execution_count": null,
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"source": [
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"class YouTubeRecipeExtractor:\n",
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"\n",
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" def __init__(self):\n",
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" self.openai = OpenAI()\n",
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" self.system_prompt = self.get_system_prompt()\n",
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"\n",
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" def get_system_prompt(self):\n",
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" return \"\"\"\n",
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" You are a professional chef and nutritionist specializing in recipe writting.\n",
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"\n",
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" Your task is to write recipes in a very comprehensive and consistent manner.\n",
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" Each recipe will contain a list of ingredients and a list of steps to follow.\n",
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" The quantities of the ingredients should always be referred to an official unit (grams, litres, etc). If the original recipe uses a different unit (such as cup, teaspoons, etc.) make the transformation but keep the original instruction between parenthesis.\n",
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" The steps should be described in a very synthetic and concise manner. You should avoid being verbose, but the step should be understandable and easy to follow for non-expert people.\n",
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" To each recipe add a general analysis from nutrition perspective (number of calories per serving, proteins, fat, etc.).\n",
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" Use Markdown to improve readability.\n",
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" If the text you receive is not a recipe, return a kind message explaining the situation.\n",
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" \"\"\"\n",
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"\n",
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" def extract_video_id(self, url):\n",
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" \"\"\"Extract video ID from YouTube URL\"\"\"\n",
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" pattern = r'(?:youtube\\.com/watch\\?v=|youtu\\.be/|youtube\\.com/embed/)([^&\\n?#]+)'\n",
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" match = re.search(pattern, url)\n",
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" return match.group(1) if match else None\n",
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"\n",
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" def get_transcription(self, video_id):\n",
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" try:\n",
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" print(f\"Fetching video transcript for video {video_id}...\")\n",
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" transcript = YouTubeTranscriptApi.get_transcript(video_id)\n",
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" return \" \".join([item['text'] for item in transcript])\n",
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" except Exception as e:\n",
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" print(f\"Error fetching transcript: {e}\")\n",
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" return None\n",
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"\n",
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" def format_recipe(self, transcript):\n",
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" try:\n",
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" response = self.openai.chat.completions.create(\n",
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" model=\"gpt-4o-mini\",\n",
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" messages=[\n",
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" {\"role\": \"system\", \"content\": self.system_prompt},\n",
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" {\"role\": \"user\", \"content\": f\"Summarize the following YouTube recipe:\\n\\n{transcript}\"}\n",
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" ]\n",
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" )\n",
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" return response.choices[0].message.content\n",
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" except Exception as e:\n",
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" print(f\"Error summarizing text: {e}\")\n",
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" return None\n",
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"\n",
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" def display_recipe(self, url):\n",
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" transcript = self.get_transcription(self.extract_video_id(url))\n",
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" recipe = self.format_recipe(transcript)\n",
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" display(Markdown(recipe))\n"
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],
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"id": "29e44cb5-0928-4ac9-9681-efd6ba1e359f"
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "98ea2d01-f949-4e03-9154-fe524cf64ca4",
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"metadata": {},
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"outputs": [],
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"source": [
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"test_bad_url = \"https://www.youtube.com/watch?v=hzGiTUTi060\"\n",
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"test_good_url = \"https://www.youtube.com/watch?v=D_2DBLAt57c\""
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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": 7,
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"id": "362e39e8-a254-4f2f-8653-5fbb7ff0e1e9",
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"metadata": {},
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"outputs": [],
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"source": [
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"extractor = YouTubeRecipeExtractor()\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": 8,
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"id": "0cc259bd-46bb-4472-b3cb-f39da54e324a",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Fetching video transcript...\n"
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]
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},
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{
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"data": {
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"text/markdown": [
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"Thank you for your interest, but the text you provided is not a recipe. If you're looking for cooking instructions, ingredient lists, or nutrition analysis, please provide a specific food or dish you would like to know about, and I'd be happy to help!"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"extractor.display_recipe(test_bad_url)"
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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": 8,
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"id": "3f43e320-ca55-4db5-bc95-71fcb342cf3c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Fetching video transcript for video D_2DBLAt57c...\n",
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"Error fetching transcript: YouTubeTranscriptApi.fetch() missing 1 required positional argument: 'self'\n"
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]
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},
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{
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"data": {
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"text/markdown": [
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"It seems like you haven't provided a recipe or any details to summarize. If you have a specific recipe in mind, please share it, and I'll be happy to help!"
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"extractor.display_recipe(test_good_url)"
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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": "11c5c2b3-498a-43eb-9b68-d2b920c56b10",
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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": "3.11.13"
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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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