Update app.py

app.py

@@ -13,7 +13,7 @@ NEBIUS_API_KEY = os.getenv("NEBIUS_API_KEY")
 NEBIUS_BASE_URL = "https://api.studio.nebius.ai/v1/"
 MODEL_NAME = "meta-llama/Meta-Llama-3.1-70B-Instruct"
 
-# --- Advanced System Prompt ---
+# --- System Prompt ---
 SYSTEM_PROMPT = """You are a 'Vibe Coding' Python Tutor. 
 Your goal is to teach by DOING and then providing resources.
 
@@ -35,7 +35,6 @@ CRITICAL: You must end EVERY response with these exact separators to populate th
 
 def parse_agent_response(full_text):
     """Splits the single LLM response into 4 UI components."""
-    # Default content
     chat_content = full_text
     videos = "Ask a coding question to get video recommendations!"
     articles = "Ask a coding question to get reading resources!"
@@ -65,7 +64,7 @@ def parse_agent_response(full_text):
 
     return chat_content, videos, articles, quiz
 
-async def run_tutor_dashboard(user_message, chat_history):
+async def run_tutor_dashboard(user_message):
     """
     Main function to run the agent loop.
     """
@@ -96,8 +95,8 @@ async def run_tutor_dashboard(user_message, chat_history):
             
             return parse_agent_response(final_text)
 
-# --- Gradio Dashboard UI ---
-# Removed 'theme' to prevent TypeError
+# --- Gradio Dashboard UI (Safe Mode) ---
+# We removed 'theme' and 'type="messages"' to ensure compatibility
 with gr.Blocks(title="AI Python Tutor (MCP Dashboard)") as demo:
     gr.Markdown("# 🚀 Vibe Coding Academy")
     gr.Markdown("Powered by **Nebius** (Llama 3.1) & **MCP** (Local Filesystem Access)")
@@ -105,8 +104,7 @@ with gr.Blocks(title="AI Python Tutor (MCP Dashboard)") as demo:
     with gr.Row():
         # Left Column: Chat & Input
         with gr.Column(scale=2):
-            # REMOVED: type="messages"
-            # This defaults to the standard list-of-lists format [[user, bot], [user, bot]]
+            # Standard Chatbot (Expects List of Lists: [[user, bot], ...])
             chatbot = gr.Chatbot(height=500, label="Tutor Chat")
             
             msg = gr.Textbox(
@@ -122,34 +120,36 @@ with gr.Blocks(title="AI Python Tutor (MCP Dashboard)") as demo:
             article_box = gr.Markdown(value="### 📚 Articles & Courses\n*Waiting for topic...*", label="3. Articles & Courses")
             quiz_box = gr.Markdown(value="### 🧠 Quick Quiz\n*Waiting for topic...*", label="4. Knowledge Check")
 
-    # --- Interaction Logic (Universal Format) ---
-    async def user_turn(user_message, history):
-        # Add user message with None for bot response: [[user_msg, None]]
-        return "", history + [[user_message, None]]
-
-    async def bot_turn(history):
-        # Get the last user message (first item of last list)
-        last_message = history[-1][0]
+    # --- Interaction Logic (List-of-Lists Format) ---
+    async def respond(user_message, history):
+        # 1. Start with an empty bot response
+        # history is a list of lists: [['hi', 'hello'], ['user_msg', None]]
+        if history is None: history = []
+        history.append([user_message, None])
+        
+        # 2. Return the history immediately to show user message
+        yield history, "", "", "", ""
         
-        # Run agent
-        chat_text, video_text, article_text, quiz_text = await run_tutor_dashboard(last_message, [])
+        # 3. Run the agent
+        chat_text, video_text, article_text, quiz_text = await run_tutor_dashboard(user_message)
         
-        # Update the last item in history with the bot response
+        # 4. Update the last history item with bot response
         history[-1][1] = chat_text
         
-        return history, video_text, article_text, quiz_text
+        # 5. Yield final state
+        yield history, "", video_text, article_text, quiz_text
 
-    # Wire up inputs/outputs
+    # Wire up inputs/outputs using the 'respond' generator
     submit_btn.click(
-        user_turn, [msg, chatbot], [msg, chatbot]
-    ).then(
-        bot_turn, [chatbot], [chatbot, video_box, article_box, quiz_box]
+        respond, 
+        [msg, chatbot], 
+        [chatbot, msg, video_box, article_box, quiz_box]
     )
     
     msg.submit(
-        user_turn, [msg, chatbot], [msg, chatbot]
-    ).then(
-        bot_turn, [chatbot], [chatbot, video_box, article_box, quiz_box]
+        respond, 
+        [msg, chatbot], 
+        [chatbot, msg, video_box, article_box, quiz_box]
     )
 
 # --- Launch ---