Update app.py

app.py

@@ -177,6 +177,12 @@ def user_message(msg: str, history: list) -> tuple[str, list]:
     history.append(ChatMessage(role="user", content=msg))
     return "", history
 
+def process_message(msg):
+    """Обрабатывает сообщение пользователя: сохраняет, отображает и генерирует ответ."""
+    msg_store_val, _, _ = lambda msg: (msg, msg, "")(msg) # Store message and clear input (inline lambda)
+    input_box_val, chatbot_val = user_message(msg_store_val, chatbot) # Add user message to chat
+    chatbot_val_final = stream_gemini_response(msg_store_val, chatbot_val) # Generate and stream response
+    return msg_store_val, input_box_val, chatbot_val_final
 
 # Create the Gradio interface
 with gr.Blocks(theme=gr.themes.Soft(primary_hue="teal", secondary_hue="slate", neutral_hue="neutral")) as demo: # Using Soft theme with adjusted hues for a refined look
@@ -230,19 +236,10 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="teal", secondary_hue="slate", n
         examples_per_page=5 # Adjust as needed
     )
 
-# Created by gemini-2.5-pro-exp-03-25
-def process_message(msg):
-    """Обрабатывает сообщение пользователя: сохраняет, отображает и генерирует ответ."""
-    msg_store_val, _, _ = lambda msg: (msg, msg, "")(msg) # Store message and clear input (inline lambda)
-    input_box_val, chatbot_val = user_message(msg_store_val, chatbot) # Add user message to chat
-    chatbot_val_final = stream_gemini_response(msg_store_val, chatbot_val) # Generate and stream response
-    return msg_store_val, input_box_val, chatbot_val_final
-
-
-    
     # Set up event handlers
     msg_store = gr.State("")  # Store for preserving user message
 
+    # Created by gemini-2.5-pro-exp-03-25
     input_box.submit(
         process_message,
         inputs=[input_box],