Update app.py

app.py

@@ -619,72 +619,9 @@ def process_multiple_dashboards(api_key, pdf_files, language_code="it", goal_des
     return combined_content, output_files, "✅ Analysis completed successfully!"
 
 # Gradio Interface Functions
-def process_dashboard(api_key, pdf_files, language_choice, analysis_goal, num_sections, model_choice, custom_model, progress=gr.Progress()):
-    """Process the dashboard via the Gradio interface."""
-    if not api_key or not pdf_files:
-        return None, None, "Please provide both the API key and at least one PDF file."
-    
-    # Map language choice to language code
-    language_codes = {
-        "Italiano": "it",
-        "English": "en",
-        "Français": "fr",
-        "Español": "es",
-        "Deutsch": "de"
-    }
-    language_code = language_codes.get(language_choice, "it")
-    
-    # Validate number of sections
-    try:
-        num_sections = int(num_sections)
-        if num_sections < 1:
-            num_sections = 4  # Default
-    except:
-        num_sections = 4  # Default
-    
-    # Convert the uploaded files to a list of bytes
-    progress(0, desc="Preparing files...")
-    pdf_bytes_list = []
-    for pdf_file in pdf_files:
-        with open(pdf_file.name, "rb") as f:
-            pdf_bytes_list.append(f.read())
-    
-    # Start progress thread for text updates
-    progress_thread = threading.Thread(target=update_progress)
-    progress_thread.daemon = True
-    progress_thread.start()
-    
-    # Process the dashboards
-    try:
-        # Override the progress_tracker update function to also update the Gradio progress bar
-        original_update = progress_tracker.update
-        
-        def combined_update(percent, message="Processing..."):
-            original_update(percent, message)
-            progress(percent/100, desc=message)
-            
-        progress_tracker.update = combined_update
-        
-        md_content, output_files, status_message = process_multiple_dashboards(
-            api_key=api_key,
-            pdf_files=pdf_bytes_list,
-            language_code=language_code,
-            goal_description=analysis_goal,
-            num_sections=num_sections,
-            model_name=model_choice,
-            custom_model=custom_model
-        )
-        
-        if md_content and output_files:
-            progress(1.0, desc="Complete!")
-            return md_content, output_files, progress_tracker.get_status()
-        else:
-            return None, None, "❌ Error during dashboard analysis."
-    except Exception as e:
-        progress_tracker.update(100, f"❌ Error: {str(e)}")
-        progress_tracker.end_processing()
-        progress(1.0, desc=f"Error: {str(e)}")
-        return None, None, f"❌ Error: {str(e)}"
+def toggle_custom_model(choice):
+    """Toggle visibility of custom model input based on selection."""
+    return {"visible": choice == "custom"}
 
 def refresh_models(api_key):
     """Refresh the list of available models based on the API key."""