From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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369 lines
13 KiB
369 lines
13 KiB
{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "83bbedd0-eb58-48de-992e-484071b10104", |
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"metadata": {}, |
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"source": [ |
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"# Web Scraper with JavaScript Support\n", |
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"Uses day1-webscraping-selenium-for-javascript.ipynb solution simplified so easy to run.\n", |
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"\n", |
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"## Install dependencies\n", |
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"Uncomment and run once" |
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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": "f2d91971-9dd0-4714-8ec7-f1fb25f95140", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# !pip install selenium\n", |
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"# !pip install undetected-chromedriver\n", |
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"# !ollama pull llama3.2" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"id": "967258fe-3296-464c-962d-2bcf821eae67", |
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"metadata": {}, |
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"source": [ |
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"## Import required dependencies" |
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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": "fe8a87c8-0475-45a1-8ca2-fb9059e5470b", |
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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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"import undetected_chromedriver as uc\n", |
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"from selenium.webdriver.common.by import By\n", |
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"from selenium.webdriver.support.ui import WebDriverWait\n", |
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"from selenium.webdriver.support import expected_conditions as EC\n", |
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"import time\n", |
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"from bs4 import BeautifulSoup\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": "markdown", |
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"id": "df60545e-2ab6-4e37-b41c-27ddf2affb92", |
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"metadata": {}, |
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"source": [ |
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"## Run setup" |
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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": "a3846089-efa2-4602-8bc3-5f6f4945de64", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"chrome_path = \"C:/Program Files/Google/Chrome/Application/chrome.exe\"" |
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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": "b835812d-3692-4192-abc4-15fc463bd08f", |
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"metadata": {}, |
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"outputs": [], |
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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()\n", |
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"api_key = os.getenv('OPENAI_API_KEY')\n", |
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"\n", |
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"# Check the 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 - please head over to the troubleshooting notebook in this folder to identify & fix!\")\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 doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", |
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"elif api_key.strip() != api_key:\n", |
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" 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", |
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"else:\n", |
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" print(\"API key found and looks good so far!\")\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": "acb89abb-dcee-4da6-98f8-e339d258f2a4", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"openai = OpenAI()\n", |
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"\n", |
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"# 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", |
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"# If it STILL doesn't work (horrors!) then please see the troubleshooting notebook, or try the below line instead:\n", |
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"# openai = OpenAI(api_key=\"your-key-here-starting-sk-proj-\")" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"id": "e860e963-e7a1-4888-a4b9-db9c24bb9a6e", |
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"metadata": {}, |
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"source": [ |
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"# Create Prompts" |
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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": "d4933c36-db8a-4333-8f81-e9db7ba41287", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n", |
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"\n", |
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"system_prompt = \"You are an assistant that analyzes the contents of a website \\\n", |
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"and provides a short summary, ignoring text that might be navigation related. \\\n", |
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"Respond in markdown.\"\n", |
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"\n", |
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"# A function that writes a User Prompt that asks for summaries of websites:\n", |
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"\n", |
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"def user_prompt_for(website):\n", |
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" user_prompt = f\"You are looking at a website titled {website.title}\"\n", |
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" user_prompt += \"\\nThe contents of this website is as follows; \\\n", |
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"please provide a short summary of this website in markdown. \\\n", |
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"If it includes news or announcements, then summarize these too.\\n\\n\"\n", |
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" user_prompt += website.text\n", |
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" return user_prompt\n" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"id": "17cfab59-304d-4d2f-b324-c388d9e87fca", |
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"metadata": {}, |
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"source": [ |
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"# Create Functions" |
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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": "ca5e96e0-4d8f-49de-a608-a735a5b23b1a", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Setup for how OpenAI expects to receive messages in a particular structure\n", |
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"\n", |
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"def messages_for(website):\n", |
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" return [\n", |
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" {\"role\": \"system\", \"content\": system_prompt},\n", |
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" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", |
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" ]\n", |
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"\n", |
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"# Use Selenium and chrome to scrape website\n", |
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"class WebsiteCrawler:\n", |
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" def __init__(self, url, wait_time=20, chrome_binary_path=None):\n", |
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" \"\"\"\n", |
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" Initialize the WebsiteCrawler using Selenium to scrape JavaScript-rendered content.\n", |
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" \"\"\"\n", |
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" self.url = url\n", |
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" self.wait_time = wait_time\n", |
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"\n", |
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" options = uc.ChromeOptions()\n", |
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" options.add_argument(\"--disable-gpu\")\n", |
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" options.add_argument(\"--no-sandbox\")\n", |
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" options.add_argument(\"--disable-dev-shm-usage\")\n", |
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" options.add_argument(\"--disable-blink-features=AutomationControlled\")\n", |
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" options.add_argument(\"start-maximized\")\n", |
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" options.add_argument(\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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" if chrome_binary_path:\n", |
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" options.binary_location = chrome_binary_path\n", |
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"\n", |
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" self.driver = uc.Chrome(options=options)\n", |
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"\n", |
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" try:\n", |
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" # Load the URL\n", |
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" self.driver.get(url)\n", |
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"\n", |
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" # Wait for Cloudflare or similar checks\n", |
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" time.sleep(10)\n", |
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"\n", |
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" # Ensure the main content is loaded\n", |
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" WebDriverWait(self.driver, self.wait_time).until(\n", |
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" EC.presence_of_element_located((By.TAG_NAME, \"main\"))\n", |
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" )\n", |
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"\n", |
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" # Extract the main content\n", |
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" main_content = self.driver.find_element(By.CSS_SELECTOR, \"main\").get_attribute(\"outerHTML\")\n", |
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"\n", |
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" # Parse with BeautifulSoup\n", |
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" soup = BeautifulSoup(main_content, \"html.parser\")\n", |
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" self.title = self.driver.title if self.driver.title else \"No title found\"\n", |
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" self.text = soup.get_text(separator=\"\\n\", strip=True)\n", |
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"\n", |
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" except Exception as e:\n", |
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" print(f\"Error occurred: {e}\")\n", |
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" self.title = \"Error occurred\"\n", |
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" self.text = \"\"\n", |
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"\n", |
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" finally:\n", |
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" self.driver.quit()\n", |
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"\n", |
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"def new_summary(url, chrome_path):\n", |
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" web = WebsiteCrawler(url, 30, chrome_path)\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(web)\n", |
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" )\n", |
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"\n", |
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" web_summary = response.choices[0].message.content\n", |
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" \n", |
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" return display(Markdown(web_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": "20a8a14b-0a29-4f74-a591-d587b965409b", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n", |
|
"\n", |
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"system_prompt = \"You are an assistant that analyzes the contents of a website \\\n", |
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"and provides a short summary, ignoring text that might be navigation related. \\\n", |
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"Respond in markdown.\"\n", |
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"\n", |
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"# A function that writes a User Prompt that asks for summaries of websites:\n", |
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"\n", |
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"def user_prompt_for(website):\n", |
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" user_prompt = f\"You are looking at a website titled {website.title}\"\n", |
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" user_prompt += \"\\nThe contents of this website is as follows; \\\n", |
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"please provide a short summary of this website in markdown. \\\n", |
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"If it includes news or announcements, then summarize these too.\\n\\n\"\n", |
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" user_prompt += website.text\n", |
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" return user_prompt\n", |
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"\n", |
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"# Setup for how OpenAI expects to receive messages in a particular structure\n", |
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"\n", |
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"def messages_for(website):\n", |
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" return [\n", |
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" {\"role\": \"system\", \"content\": system_prompt},\n", |
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" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", |
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" ]\n", |
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"\n", |
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"# Use Selenium and chrome to scrape website\n", |
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"class WebsiteCrawler:\n", |
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" def __init__(self, url, wait_time=20, chrome_binary_path=None):\n", |
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" \"\"\"\n", |
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" Initialize the WebsiteCrawler using Selenium to scrape JavaScript-rendered content.\n", |
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" \"\"\"\n", |
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" self.url = url\n", |
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" self.wait_time = wait_time\n", |
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"\n", |
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" options = uc.ChromeOptions()\n", |
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" options.add_argument(\"--disable-gpu\")\n", |
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" options.add_argument(\"--no-sandbox\")\n", |
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" options.add_argument(\"--disable-dev-shm-usage\")\n", |
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" options.add_argument(\"--disable-blink-features=AutomationControlled\")\n", |
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" options.add_argument(\"start-maximized\")\n", |
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" options.add_argument(\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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" if chrome_binary_path:\n", |
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" options.binary_location = chrome_binary_path\n", |
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"\n", |
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" self.driver = uc.Chrome(options=options)\n", |
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"\n", |
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" try:\n", |
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" # Load the URL\n", |
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" self.driver.get(url)\n", |
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"\n", |
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" # Wait for Cloudflare or similar checks\n", |
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" time.sleep(10)\n", |
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"\n", |
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" # Ensure the main content is loaded\n", |
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" WebDriverWait(self.driver, self.wait_time).until(\n", |
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" EC.presence_of_element_located((By.TAG_NAME, \"main\"))\n", |
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" )\n", |
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"\n", |
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" # Extract the main content\n", |
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" main_content = self.driver.find_element(By.CSS_SELECTOR, \"main\").get_attribute(\"outerHTML\")\n", |
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"\n", |
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" # Parse with BeautifulSoup\n", |
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" soup = BeautifulSoup(main_content, \"html.parser\")\n", |
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" self.title = self.driver.title if self.driver.title else \"No title found\"\n", |
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" self.text = soup.get_text(separator=\"\\n\", strip=True)\n", |
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"\n", |
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" except Exception as e:\n", |
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" print(f\"Error occurred: {e}\")\n", |
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" self.title = \"Error occurred\"\n", |
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" self.text = \"\"\n", |
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"\n", |
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" finally:\n", |
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" self.driver.quit()\n", |
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"\n", |
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"def new_summary(url, chrome_path):\n", |
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" web = WebsiteCrawler(url, 30, chrome_path)\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(web)\n", |
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" )\n", |
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"\n", |
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" web_summary = response.choices[0].message.content\n", |
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" \n", |
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" return display(Markdown(web_summary))" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"id": "e5f974b3-e417-43a2-88f1-8db06096cd53", |
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"metadata": {}, |
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"source": [ |
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"# Scrape and Summarize Web Page" |
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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": "55f240cb-1fca-46bf-81d1-1beeea64439d", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"url = \"https://www.canva.com/\"\n", |
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"new_summary(url, chrome_path)" |
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] |
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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": "3.11.11" |
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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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