Update app.py

app.py

@@ -86,13 +86,42 @@ def process_menu_selection(data):
     # Package the response as JSON
     response = json.dumps({"nextMenu": next_menu, "currentMenu": new_current_menu})
     return response
+def process_selection(data):
+    print("Received data:", data)  # Debugging print
+    selection_info = json.loads(data)
+    user_choice = selection_info.get("user_choice", "default")
+    current_menu = selection_info.get("current_menu", "main")
+
+    # Simplified logic for debugging
+    if user_choice == "Creativity":
+        next_menu = ["Painting", "Writing", "Music"]
+    else:
+        next_menu = ["Option A", "Option B"]
+
+    response = json.dumps({"nextMenu": next_menu, "currentMenu": user_choice})
+    return response
+
+def universal_processor(input_text):
+    if input_text.startswith("menu:"):
+        # Extract and process menu selection
+        return process_menu_selection(input_text[5:])
+    elif input_text.startswith("chat:"):
+        # Handle chatbot interaction
+        return chatbot_api(input_text[5:])
+    else:
+        return "Unrecognized command"
+
+def process_menu_selection(selection):
+    # Your menu processing logic here
+    return f"Menu selection processed: {selection}"
+
+def chatbot_api(message):
+    # Your chatbot logic here
+    return f"Chatbot response to: {message}"
 
-# Create a Gradio interface for the app
-iface = gr.Interface(fn=process_menu_selection,
+iface = gr.Interface(fn=universal_processor,
                      inputs="text",
                      outputs="text",
-                     description="Process menu selections and return the next set of options.")
+                     description="Enter 'menu:' followed by your selection or 'chat:' followed by your message.")
 
-# Example usage with Gradio
-iface = gr.Interface(fn=chatbot_api, inputs="text", outputs="text")
 iface.launch()