Update app.py

app.py

@@ -52,22 +52,20 @@ def get_suggestions(query):
     final_selection = pd.concat(outfit)
     return final_selection
 
+# Chatbot + image output function
 # Chatbot + image output function
 def respond(message, chat_history):
     """
     Handles the user message, generates a response, and suggests clothing.
-    This is where the TypeError was occurring. The key fix is ensuring a tuple is always returned.
     """
     # Build conversation messages for AI model
     messages = [{"role": "system", "content": "You are a clothing assistant. Suggest suitable clothing items from the database based on the user's query."}]
     
-    # Add user message to history
-    history.append({"role": "user", "content": message})
+    # Add user message to history. The variable name is now correct.
+    chat_history.append({"role": "user", "content": message})
     
     # Query Hugging Face Inference API
-    # The `stream` parameter is not supported by Gradio's Chatbot.
-    # We will use the non-streaming `chat_completion` method.
-    ai_response = client.chat_completion(messages=history, max_tokens=1000)
+    ai_response = client.chat_completion(messages=chat_history, max_tokens=1000)
 
     # Extract the AI's reasoning or a fallback
     reasoning = ""
@@ -83,8 +81,7 @@ def respond(message, chat_history):
     # Add chatbot history
     chat_history.append((message, reasoning))
 
-    # This is the corrected return statement.
-    # It MUST return a tuple with two elements: the updated chat_history and the image_paths.
+    # Return the updated chat history and the image paths
     return chat_history, image_paths
 
 # Gradio UI ---