| import gradio as gr
|
| import requests
|
| from bs4 import BeautifulSoup
|
| import openai
|
| import os
|
|
|
| openai.api_key = os.getenv("OPENAI_API_KEY")
|
|
|
| def fetch_text_from_url(url):
|
| try:
|
| response = requests.get(url, timeout=10)
|
| soup = BeautifulSoup(response.text, 'html.parser')
|
| paragraphs = soup.find_all('p')
|
| content = ' '.join([p.get_text() for p in paragraphs])
|
| return content[:4000]
|
| except Exception as e:
|
| return f"Error fetching content: {str(e)}"
|
|
|
| def summarize_with_takeaways(content):
|
| prompt = f"""
|
| You are a helpful AI agent. Summarize the article and extract 3–5 key takeaways.
|
|
|
| Article:
|
| \"\"\"
|
| {content}
|
| \"\"\"
|
|
|
| Return in this format:
|
|
|
| Summary:
|
| <your summary>
|
|
|
| Key Takeaways:
|
| - ...
|
| - ...
|
| - ...
|
| """
|
| response = openai.ChatCompletion.create(
|
| model="gpt-4o",
|
| messages=[{"role": "user", "content": prompt}]
|
| )
|
| return response.choices[0].message.content.strip()
|
|
|
| def summarize_url(url):
|
| content = fetch_text_from_url(url)
|
| if content.startswith("Error"):
|
| return content
|
| return summarize_with_takeaways(content)
|
|
|
| demo = gr.Interface(
|
| fn=summarize_url,
|
| inputs=gr.Textbox(label="Enter Weblink (URL)"),
|
| outputs=gr.Textbox(label="Summary & Takeaways"),
|
| title="🌐 Learning Agent: Weblink Summarizer",
|
| description="Get a concise summary + key takeaways from any article."
|
| )
|
|
|
| demo.launch()
|
|
|
