Create app.py

app.py

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+import requests
+from bs4 import BeautifulSoup
+import openai
+import gradio as gr
+import os
+
+# Set OpenAI API Key (store in Hugging Face secrets or set manually)
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def scrape_and_summarize(url):
+    """
+    Scrapes the given website URL and summarizes its content using GPT-4o mini.
+    """
+    try:
+        # Fetch website content
+        headers = {"User-Agent": "Mozilla/5.0"}
+        response = requests.get(url, headers=headers, timeout=10)
+        response.raise_for_status()
+
+        # Parse HTML content
+        soup = BeautifulSoup(response.text, "html.parser")
+        paragraphs = soup.find_all("p")
+        text_content = "\n".join([p.get_text() for p in paragraphs if p.get_text().strip()])
+
+        if not text_content:
+            return "No readable content found on this page."
+
+        # Limit text to 4000 characters for summarization
+        text_content = text_content[:4000]
+
+        # Call OpenAI GPT-4o mini for summarization
+        response = openai.ChatCompletion.create(
+            model="gpt-4o-mini",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant that summarizes webpage content."},
+                {"role": "user", "content": f"Summarize the following webpage content:\n\n{text_content}"}
+            ]
+        )
+
+        summary = response["choices"][0]["message"]["content"]
+        return summary
+
+    except requests.exceptions.RequestException as e:
+        return f"Error fetching the webpage: {str(e)}"
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("# Web Page Summarizer")
+    gr.Markdown("Enter a website URL to get a summary of its content.")
+
+    url_input = gr.Textbox(label="Website URL", placeholder="https://example.com")
+    output = gr.Textbox(label="Summary", interactive=False)
+    submit_button = gr.Button("Summarize")
+
+    submit_button.click(scrape_and_summarize, inputs=[url_input], outputs=[output])
+
+# Launch Gradio App
+if __name__ == "__main__":
+    demo.launch()