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