Merge pull request #359 from BePeace/main

A python file for website summarization
This commit is contained in:
Ed Donner
2025-05-10 11:57:30 -04:00
committed by GitHub

View File

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import os
import requests
from dotenv import load_dotenv
from bs4 import BeautifulSoup
from IPython.display import Markdown, display
from openai import OpenAI
#Function to get API key for OpanAI from .env file
def get_api_key():
load_dotenv(override=True)
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
print("No API Key found")
elif not api_key.startswith("sk-"):
print("Invalid API Key. Should start with sk-")
elif api_key.strip() != api_key:
print("Remove leading and trailing spaces fron the key")
else:
print("API Key found and looks good!")
return api_key
#load API key and OpenAI class
api_key = get_api_key()
openai = OpenAI()
#headers and class for website to summarize
headers = {
"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"
}
class Website:
def __init__(self, url):
self.url = url
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.content, 'html.parser')
self.title = soup.title.string if soup.title else "No title found"
for irrelevant in soup.body(["script", "style", "img", "input"]):
irrelevant.decompose()
self.text = soup.body.get_text(separator="\n", strip=True)
#define prompts
system_prompt = "You are an assistant that analyzes the contents of a website \
and provides a short summary, ignoring text that might be navigation related. \
Respond in markdown."
def user_prompt_for(website):
user_prompt = f"You are looking at a website titled {website.title}"
user_prompt += "\nThe contents of this website is as follows; \
please provide a short summary of this website in markdown. \
If it includes news or announcements, then summarize these too.\n\n"
user_prompt += website.text
return user_prompt
#prepare message for use in OpenAI call
def messages_for(website):
return [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt_for(website)}
]
#define function to summarize a given website
def summarize(url):
website = Website(url)
response = openai.chat.completions.create(
model = "gpt-4o-mini",
messages = messages_for(website)
)
return response.choices[0].message.content
#function to display summary in markdown format
def display_summary(url):
summary = summarize(url)
display(Markdown(summary))
print(summary)
url = "https://edwarddonner.com"
display_summary(url)