Update app.py

app.py

@@ -3974,34 +3974,22 @@ async def handle_voice_message_complete(from_number: str, msg: dict):
         logger.info(f"[Voice] Reply language set to: {reply_language}")
         
         # Check if this is a greeting in voice note (check both original and translated)
+        user_context = context_manager.get_context(from_number)
+        current_state = user_context.get('current_state', 'main_menu')
         if is_greeting(transcribed_text) or is_greeting(processing_text):
             logger.info(f"[Voice] Greeting detected in voice note: {transcribed_text}")
-            
-            # Check if user is currently in AI chat mode - if so, don't trigger menu mode
-            user_context = context_manager.get_context(from_number)
-            current_state = user_context.get('current_state', 'main_menu')
-            
             if current_state == 'ai_chat_mode':
                 logger.info(f"[Voice] User is in AI chat mode, treating greeting as AI query instead of menu trigger")
-                # Treat greeting as a general query in AI chat mode
                 await handle_general_query_with_ai(from_number, processing_text, user_context, reply_language)
                 return
             else:
-                # Only trigger menu mode if not in AI chat mode
                 welcome_msg = generate_veterinary_welcome_message(from_number, user_context)
                 send_whatsjet_message(from_number, welcome_msg)
                 context_manager.update_context(from_number, current_state='main_menu', current_menu='main_menu', current_menu_options=list(MENU_CONFIG['main_menu']['option_descriptions'].values()))
                 return
-        
-        # Process the transcribed text using the same intelligent system as text messages
-        # This ensures voice messages get the same intelligent clarification and product search
-        await process_incoming_message(from_number, {
-            'body': processing_text,  # Use translated text for processing
-            'type': 'text',
-            'reply_language': reply_language,
-            'original_transcription': transcribed_text,  # Keep original for context
-            'is_voice_message': True  # Flag to indicate this came from voice
-        })
+        # For all other cases, always pass to OpenAI for intelligent response
+        await handle_general_query_with_ai(from_number, processing_text, user_context, reply_language)
+        return
         
     except Exception as e:
         logger.error(f"[Voice] Error processing voice message: {e}")