Update app.py

app.py

@@ -16,40 +16,38 @@ def scrape_website(url):
         soup = BeautifulSoup(response.text, "html.parser")
         text_elements = soup.find_all(['p', 'article', 'main', 'section'])
         text = " ".join([e.get_text(strip=True, separator=' ') for e in text_elements])
-
         return text.strip() if text.strip() else "No content found"
-    
+        
     except Exception as e:
         return f"Scraping Error: {str(e)}"
 
 def summarize_website(url):
-    """Handles website summarization with proper truncation"""
+    """Handles the full summarization pipeline"""
     try:
-        extracted_text = scrape_website(url)
-
-        if "Error" in extracted_text:
-            return f"❌ {extracted_text}"
-
-        if len(extracted_text.split()) < 50:
-            return "⚠️ Error: Insufficient content for summarization (minimum 50 words required)"
-
-        # Ensure input is within token limit
-        max_input_tokens = 1024  # Model limit
-        truncated_text = " ".join(extracted_text.split()[:max_input_tokens])
-
-        # Summarization
-        summary = summarizer(
-            truncated_text,
-            max_length=250,  # Extended summary
-            min_length=80,
-            do_sample=False
-        )
-
-        if not summary or not isinstance(summary, list) or "summary_text" not in summary[0]:
-            return "⚠️ Error: Summarization failed. Try a different website."
-
-        return f"## 📝 Summary\n\n{summary[0]['summary_text']}"
-
+        with gr.Column(variant="panel"):
+            gr.Markdown("## ⚡ Processing...")
+            
+            extracted_text = scrape_website(url)
+            
+            if "Error" in extracted_text:
+                return f"❌ {extracted_text}"
+                
+            if len(extracted_text.split()) < 50:
+                return "⚠️ Error: Insufficient content for summarization (minimum 50 words required)"
+                
+            max_input_length = 1000
+            truncated_text = extracted_text[:max_input_length]
+            
+            summary = summarizer(
+                truncated_text,
+                max_length=200,
+                min_length=50,
+                do_sample=False,
+                truncation=True
+            )
+            
+            return f"## 📝 Summary\n\n{summary[0]['summary_text']}"
+            
     except Exception as e:
         return f"⛔ Summarization Error: {str(e)}"
 
@@ -69,7 +67,7 @@ css = """
 with gr.Blocks(theme=gr.themes.Soft(), css=css, title="Website Summarizer") as app:
     gr.Markdown("# 🌐 AI Website Summarizer")
     gr.Markdown("Paste any website URL below to get an instant AI-powered summary!")
-
+    
     with gr.Row():
         url_input = gr.Textbox(
             label="Website URL",
@@ -78,13 +76,13 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css, title="Website Summarizer") as a
             max_lines=1,
             elem_id="input-box"
         )
-
+    
     with gr.Row():
         submit_btn = gr.Button("Generate Summary 🚀", variant="primary")
         clear_btn = gr.Button("Clear 🔄")
-
+    
     output = gr.Markdown()
-
+    
     # Example section
     gr.Examples(
         examples=[
@@ -95,10 +93,10 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css, title="Website Summarizer") as a
         label="Try these examples:",
         examples_per_page=2
     )
-
+    
     # Progress indicator
     progress = gr.Textbox(visible=False)
-
+    
     # Event handlers
     submit_btn.click(
         fn=summarize_website,
@@ -106,7 +104,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css, title="Website Summarizer") as a
         outputs=output,
         api_name="summarize"
     )
-
+    
     clear_btn.click(
         fn=lambda: ("", ""),
         inputs=None,
@@ -114,8 +112,9 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css, title="Website Summarizer") as a
         queue=False
     )
 
-# Launch the app without broken favicon
+# Mobile-friendly configuration
 app.launch(
     server_name="0.0.0.0",
-    server_port=7860
-)
+    server_port=7860,
+    favicon_path="https://www.svgrepo.com/show/355037/huggingface.svg"
+)