Upload 2 files

app.py

@@ -0,0 +1,58 @@
+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]  # trim for token limits
+    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()

requirements.txt

@@ -0,0 +1,4 @@
+gradio
+requests
+beautifulsoup4
+openai