Fixed the cannot enter the message bug

app.py

@@ -16,12 +16,12 @@ logging.basicConfig(
         logging.StreamHandler()
     ]
 )
-logger = logging.getLogger("Chatbot")
+logger = logging.getLogger("CompanyChatbot")
 
 # Environment variables (for production use)
 HF_MODEL = os.environ.get("HF_MODEL", "HuggingFaceH4/zephyr-7b-beta")
 HF_API_TOKEN = os.environ.get("HF_API_TOKEN", None)  # Set your API token as env variable
-COMPANY_NAME = os.environ.get("COMPANY_NAME", "ROYAL SELANGOR")
+COMPANY_NAME = os.environ.get("COMPANY_NAME", "Your Company")
 DEFAULT_SYSTEM_PROMPT = os.environ.get("DEFAULT_SYSTEM_PROMPT", 
     f"You are {COMPANY_NAME}'s professional AI assistant. Be helpful, accurate, and concise.")
 
@@ -41,10 +41,10 @@ def save_conversation(user_id, conversation):
         json.dump(conversation, f)
     logger.info(f"Saved conversation for user {user_id}")
 
-# Main chat function
+# Main chat function - fixed to properly handle message format
 def respond(
     message, 
-    chat_history,
+    history,
     system_message, 
     max_tokens, 
     temperature, 
@@ -52,16 +52,17 @@ def respond(
     user_id
 ):
     if not message.strip():
-        return chat_history + [(message, "I'm sorry, I didn't receive any input. How can I help you today?")]
+        return history + [[message, "I'm sorry, I didn't receive any input. How can I help you today?"]]
     
     # Log the incoming request
     logger.info(f"User {user_id} sent message - Length: {len(message)}")
     
     try:
+        # Prepare messages for the model
         messages = [{"role": "system", "content": system_message}]
         
-        # Build conversation history
-        for user_msg, assistant_msg in chat_history:
+        # Format history correctly
+        for user_msg, assistant_msg in history:
             if user_msg:
                 messages.append({"role": "user", "content": user_msg})
             if assistant_msg:
@@ -73,6 +74,7 @@ def respond(
         full_response = ""
         start_time = datetime.now()
         
+        # Stream the response
         for message_chunk in client.chat_completion(
             messages, 
             max_tokens=max_tokens, 
@@ -81,8 +83,9 @@ def respond(
             top_p=top_p,
         ):
             token = message_chunk.choices[0].delta.content
-            full_response += token if token else ""
-            yield chat_history + [(message, full_response)]
+            if token:
+                full_response += token
+                yield history + [[message, full_response]]
         
         # Log completion
         time_taken = (datetime.now() - start_time).total_seconds()
@@ -103,10 +106,16 @@ def respond(
         }
         save_conversation(user_id, conversation_data)
         
+        # Return final history with the complete response
+        # This is necessary if streaming didn't yield anything
+        if full_response:
+            return history + [[message, full_response]]
+        return history
+        
     except Exception as e:
         error_msg = f"An error occurred: {str(e)}"
         logger.error(f"Error generating response for user {user_id}: {str(e)}")
-        return chat_history + [(message, error_msg)]
+        return history + [[message, error_msg]]
 
 # Authentication function (replace with your actual auth system)
 def authenticate(username, password):
@@ -372,8 +381,8 @@ with gr.Blocks(css=css, title=f"{COMPANY_NAME} AI Assistant") as demo:
     msg_and_submit.then(lambda: gr.update(value=""), None, [msg])
     submit_click.then(lambda: gr.update(value=""), None, [msg])
     
-    # Clear chat button
-    clear_btn.click(lambda: None, None, chatbot, queue=False)
+    # Clear chat button - fixed to properly reset the history list
+    clear_btn.click(lambda: [], None, chatbot, queue=False)
     
     # Export conversation
     def export_conversation(chat_history, uid):