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|
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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": null, |
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"id": "0f587c07-9db3-4a29-8373-b2c8d55e51fe", |
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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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"import os\n", |
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"import requests\n", |
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"from bs4 import BeautifulSoup\n", |
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"import time\n", |
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"import undetected_chromedriver as uc\n", |
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"from dotenv import load_dotenv\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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"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": null, |
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"id": "91384952-e9ba-42b7-b18b-de899b5dc378", |
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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(override=True)\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!\")" |
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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": "e45422ad-884e-44e7-ac1d-c48ff5e83970", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# A class to represent a Webpage\n", |
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"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", |
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"\n", |
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"# Some websites need you to use proper headers when fetching them:\n", |
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"\n", |
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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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" def __init__(self, url):\n", |
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" self.url = url\n", |
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" \n", |
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" # Set up undetected Chrome options\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(\"window-size=1920,1080\")\n", |
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" # For debugging, you can run in normal mode (i.e., not headless)\n", |
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" # options.add_argument(\"--headless\")\n", |
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" \n", |
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" # Initialize undetected_chromedriver\n", |
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" driver = uc.Chrome(options=options, version_main=132)\n", |
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" driver.get(url)\n", |
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" \n", |
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" try:\n", |
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" # Use an explicit wait for an element that confirms the page has fully loaded.\n", |
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" # Adjust the selector to one that appears after the challenge is complete.\n", |
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" WebDriverWait(driver, 20).until(\n", |
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" EC.presence_of_element_located((By.TAG_NAME, \"body\"))\n", |
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" )\n", |
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" except Exception as e:\n", |
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" print(\"Timeout waiting for page to load:\", e)\n", |
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" \n", |
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" # Alternatively, you can add a longer sleep if necessary\n", |
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" time.sleep(10)\n", |
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" \n", |
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" page_source = driver.page_source\n", |
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" soup = BeautifulSoup(page_source, 'html.parser')\n", |
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" \n", |
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" # Extract title and clean up unwanted tags\n", |
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" self.title = driver.title if driver.title else \"No title found\"\n", |
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" if soup.body:\n", |
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" for tag in soup.body.find_all([\"script\", \"style\", \"img\", \"input\"]):\n", |
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" tag.decompose()\n", |
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" self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n", |
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" else:\n", |
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" self.text = \"No body content found.\"\n", |
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" \n", |
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" # For debugging, you might want to keep the browser open to inspect:\n", |
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" # input(\"Press Enter to close the browser...\")\n", |
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"\n", |
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" driver.quit()\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": "b8eb670c-1ca6-48f2-b0c7-8a65fa875548", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Testing the modified Website class\n", |
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"#ed = Website(\"https://edwarddonner.com\")\n", |
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"ed = Website(\"https://openai.com\")\n", |
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"print(ed.title)\n", |
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"print(ed.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": "01d9142b-74c5-460e-8993-7f865052c2ca", |
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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. \"" |
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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": "7155a2c5-315c-4ac0-9d94-70983d8d28e4", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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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" |
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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": "3564820a-d499-4dd7-91b4-56dd43663b5b", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"print(user_prompt_for(ed))" |
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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": "eff2e8d0-d999-488b-adbe-069c5b2339d3", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# See how this function creates exactly the format above\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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" ]" |
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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": "b3cc6a30-fc3b-4a7b-a095-5ff744918cca", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Try this out, and then try for a few more websites\n", |
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"\n", |
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"messages_for(ed)" |
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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": "1406592c-2156-4c41-921a-e3f15e9b4828", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# And now: call the OpenAI API. You will get very familiar with this!\n", |
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"\n", |
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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\n", |
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"\n", |
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" " |
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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": "134a78a1-119b-4ef5-890b-ceb2d94ab4cc", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"#This seems to not working - Need some help\n", |
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"\n", |
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"print(summarize(\"https://openai.com\"))\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": "930dc9be-5389-4c20-b788-d27cda85389c", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"summarize(\"https://openai.com\")" |
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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": "fc77656b-0f1a-4204-944e-e9d04d3072c7", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# A function to display this nicely in the Jupyter output, using markdown\n", |
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"\n", |
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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": "96c03dba-f999-431c-94b7-cbda3732e806", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"display_summary(\"https://openai.com\")" |
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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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