Browse Source

Added my contributions to community-contributions

pull/251/head
Suchetana Bhattacharjee 2 months ago
parent
commit
f793fdad90
  1. 281
      week1/community-contributions/day1_with_selenium-CB.ipynb

281
week1/community-contributions/day1_with_selenium-CB.ipynb

@ -0,0 +1,281 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "0f587c07-9db3-4a29-8373-b2c8d55e51fe",
"metadata": {},
"outputs": [],
"source": [
"# imports\n",
"import os\n",
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import time\n",
"import undetected_chromedriver as uc\n",
"from dotenv import load_dotenv\n",
"from selenium.webdriver.common.by import By\n",
"from selenium.webdriver.support.ui import WebDriverWait\n",
"from selenium.webdriver.support import expected_conditions as EC\n",
"from IPython.display import Markdown, display\n",
"from openai import OpenAI"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "91384952-e9ba-42b7-b18b-de899b5dc378",
"metadata": {},
"outputs": [],
"source": [
"# Load environment variables in a file called .env\n",
"\n",
"load_dotenv(override=True)\n",
"api_key = os.getenv('OPENAI_API_KEY')\n",
"\n",
"# Check the key\n",
"\n",
"if not api_key:\n",
" print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
"elif not api_key.startswith(\"sk-proj-\"):\n",
" print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
"elif api_key.strip() != api_key:\n",
" 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",
"else:\n",
" print(\"API key found and looks good so far!\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e45422ad-884e-44e7-ac1d-c48ff5e83970",
"metadata": {},
"outputs": [],
"source": [
"# A class to represent a Webpage\n",
"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n",
"\n",
"# Some websites need you to use proper headers when fetching them:\n",
"\n",
"headers = {\n",
" \"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",
"}\n",
"\n",
"class Website:\n",
" def __init__(self, url):\n",
" self.url = url\n",
" \n",
" # Set up undetected Chrome options\n",
" options = uc.ChromeOptions()\n",
" options.add_argument(\"--disable-gpu\")\n",
" options.add_argument(\"window-size=1920,1080\")\n",
" # For debugging, you can run in normal mode (i.e., not headless)\n",
" # options.add_argument(\"--headless\")\n",
" \n",
" # Initialize undetected_chromedriver\n",
" driver = uc.Chrome(options=options, version_main=132)\n",
" driver.get(url)\n",
" \n",
" try:\n",
" # Use an explicit wait for an element that confirms the page has fully loaded.\n",
" # Adjust the selector to one that appears after the challenge is complete.\n",
" WebDriverWait(driver, 20).until(\n",
" EC.presence_of_element_located((By.TAG_NAME, \"body\"))\n",
" )\n",
" except Exception as e:\n",
" print(\"Timeout waiting for page to load:\", e)\n",
" \n",
" # Alternatively, you can add a longer sleep if necessary\n",
" time.sleep(10)\n",
" \n",
" page_source = driver.page_source\n",
" soup = BeautifulSoup(page_source, 'html.parser')\n",
" \n",
" # Extract title and clean up unwanted tags\n",
" self.title = driver.title if driver.title else \"No title found\"\n",
" if soup.body:\n",
" for tag in soup.body.find_all([\"script\", \"style\", \"img\", \"input\"]):\n",
" tag.decompose()\n",
" self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n",
" else:\n",
" self.text = \"No body content found.\"\n",
" \n",
" # For debugging, you might want to keep the browser open to inspect:\n",
" # input(\"Press Enter to close the browser...\")\n",
"\n",
" driver.quit()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b8eb670c-1ca6-48f2-b0c7-8a65fa875548",
"metadata": {},
"outputs": [],
"source": [
"# Testing the modified Website class\n",
"#ed = Website(\"https://edwarddonner.com\")\n",
"ed = Website(\"https://openai.com\")\n",
"print(ed.title)\n",
"print(ed.text)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "01d9142b-74c5-460e-8993-7f865052c2ca",
"metadata": {},
"outputs": [],
"source": [
"# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n",
"\n",
"system_prompt = \"You are an assistant that analyzes the contents of a website \\\n",
"and provides a short summary, ignoring text that might be navigation related. \\\n",
"Respond in markdown. \""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7155a2c5-315c-4ac0-9d94-70983d8d28e4",
"metadata": {},
"outputs": [],
"source": [
"# A function that writes a User Prompt that asks for summaries of websites:\n",
"\n",
"def user_prompt_for(website):\n",
" user_prompt = f\"You are looking at a website titled {website.title}\"\n",
" user_prompt += \"\\nThe contents of this website is as follows; \\\n",
"please provide a short summary of this website in markdown. \\\n",
"If it includes news or announcements, then summarize these too.\\n\\n\"\n",
" user_prompt += website.text\n",
" return user_prompt"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3564820a-d499-4dd7-91b4-56dd43663b5b",
"metadata": {},
"outputs": [],
"source": [
"print(user_prompt_for(ed))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eff2e8d0-d999-488b-adbe-069c5b2339d3",
"metadata": {},
"outputs": [],
"source": [
"# See how this function creates exactly the format above\n",
"\n",
"def messages_for(website):\n",
" return [\n",
" {\"role\": \"system\", \"content\": system_prompt},\n",
" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n",
" ]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b3cc6a30-fc3b-4a7b-a095-5ff744918cca",
"metadata": {},
"outputs": [],
"source": [
"# Try this out, and then try for a few more websites\n",
"\n",
"messages_for(ed)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1406592c-2156-4c41-921a-e3f15e9b4828",
"metadata": {},
"outputs": [],
"source": [
"# And now: call the OpenAI API. You will get very familiar with this!\n",
"\n",
"def summarize(url):\n",
" website = Website(url)\n",
" response = openai.chat.completions.create(\n",
" model = \"gpt-4o-mini\",\n",
" messages = messages_for(website)\n",
" )\n",
" return response.choices[0].message.content\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "134a78a1-119b-4ef5-890b-ceb2d94ab4cc",
"metadata": {},
"outputs": [],
"source": [
"#This seems to not working - Need some help\n",
"\n",
"print(summarize(\"https://openai.com\"))\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "930dc9be-5389-4c20-b788-d27cda85389c",
"metadata": {},
"outputs": [],
"source": [
"summarize(\"https://openai.com\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fc77656b-0f1a-4204-944e-e9d04d3072c7",
"metadata": {},
"outputs": [],
"source": [
"# A function to display this nicely in the Jupyter output, using markdown\n",
"\n",
"def display_summary(url):\n",
" summary = summarize(url)\n",
" display(Markdown(summary))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "96c03dba-f999-431c-94b7-cbda3732e806",
"metadata": {},
"outputs": [],
"source": [
"display_summary(\"https://openai.com\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Loading…
Cancel
Save