Update app.py

app.py

@@ -56,21 +56,10 @@ MODEL_NAMES = list(MODELS.keys())
 def generate_response(history, system_message, max_tokens, selected_model):
     """
     Generates the response. 
-    History is expected to be a list of dicts: [{'role':'user', 'content':'...'}, ...]
     """
-    # Get the last user message
     if not history:
         return history
         
-    last_msg = history[-1]["content"]
-    # History passed to API should exclude the very last message we just added locally, 
-    # but OpenAI API expects the full context. 
-    # We slice history for the context to avoid duplicating if logic separates them, 
-    # but here 'history' contains the new prompt already appended by the UI event.
-    
-    # Separate the last message (current prompt) from context if needed, 
-    # but standard OpenAI chat structure includes it.
-    
     try:
         model_config = MODELS[selected_model]
         provider = model_config["provider"]
@@ -88,10 +77,8 @@ def generate_response(history, system_message, max_tokens, selected_model):
         else:
             final_system_message = system_message
 
-        # Construct messages for API
         messages = [{"role": "system", "content": final_system_message}]
-        
-        # Sanitize history for API (ensure only role/content keys exist if gradio adds metadata)
+        # Sanitize history 
         api_history = [{"role": m["role"], "content": m["content"]} for m in history]
         messages.extend(api_history)
 
@@ -126,7 +113,6 @@ def generate_response(history, system_message, max_tokens, selected_model):
             else:
                 final_response = english_response
             
-            # Append bot response to history
             history.append({"role": "assistant", "content": final_response})
             return history
 
@@ -135,7 +121,6 @@ def generate_response(history, system_message, max_tokens, selected_model):
         return history
 
 def user_input(user_message, history):
-    """Updates history with user message immediately"""
     if not user_message:
         return history, ""
     history.append({"role": "user", "content": user_message})
@@ -354,7 +339,7 @@ with gr.Blocks(
         chatbot = gr.Chatbot(
             type="messages",
             show_label=False,
-            avatar_images=None, # Minimalist, no avatars
+            avatar_images=None,
             render_markdown=True,
             elem_id="main-chatbot"
         )
@@ -391,29 +376,24 @@ with gr.Blocks(
                     system_message = gr.Textbox(
                         value="Anda adalah asisten AI. Jawab dalam Bahasa Indonesia, di bawah 100 kata. Berikan label yang jelas antara fakta dan inferensi.",
                         label="PRIME DIRECTIVE (SYSTEM PROMPT)",
-                        lines=1, # Keep it compact
+                        lines=1, 
                         max_lines=3
                     )
 
-        # 5. Examples (Optional, styled minimally)
-        gr.Examples(
-            examples=[
-                ["Jelaskan penggunaan King's Safety Stock dalam inventory management."],
-                ["Rancang strategi optimasi layout toko retail menggunakan Market Basket Analysis."],
-                ["Analisis fenomena 'Quiet Quitting' di startup teknologi Indonesia."],
-            ],
-            inputs=[msg_input],
-            elem_classes="examples-container"
-        )
+        # 5. Examples (Fixed: Wrapped in Column to apply CSS class)
+        with gr.Column(elem_classes="examples-container"):
+            gr.Examples(
+                examples=[
+                    ["Jelaskan penggunaan King's Safety Stock dalam inventory management."],
+                    ["Rancang strategi optimasi layout toko retail menggunakan Market Basket Analysis."],
+                    ["Analisis fenomena 'Quiet Quitting' di startup teknologi Indonesia."],
+                ],
+                inputs=[msg_input]
+            )
 
         # ------------------------------------------------------------------
         # Event Wiring
         # ------------------------------------------------------------------
-        
-        # When user submits: 
-        # 1. Clear input box immediately & append user msg to chatbot (user_input)
-        # 2. Call generate_response to get bot answer & update chatbot
-        
         msg_input.submit(
             user_input, 
             inputs=[msg_input, chatbot],