Update app.py

app.py

@@ -15,15 +15,6 @@ client = OpenAI(
 )
 
 def build_messages_from_history(history):
-    """
-    Convert the stored conversation (with user and assistant turns, including images) into a
-    messages array suitable for the model. History is a list of tuples:
-    [
-      ((user_text, user_image_url), assistant_text),
-      ...
-    ]
-    We return a list of messages starting with a system role, followed by alternating user/assistant.
-    """
     messages = [
         {
             "role": "system",
@@ -64,10 +55,6 @@ def build_messages_from_history(history):
     return messages
 
 def create_response(history, user_text, user_image_path):
-    """
-    Given the current history, the user's new message (text), and optional uploaded image path,
-    build a new set of messages including the latest user turn, then call the model and update history.
-    """
     user_text = user_text.strip()
     user_image_url = ""
   
@@ -86,7 +73,7 @@ def create_response(history, user_text, user_image_path):
         user_image_url = f"data:image/jpeg;base64,{base64_image}"
 
     temp_history = history.copy()
-    temp_history.append(((user_text, user_image_url), ""))  # assistant response is empty for now
+    temp_history.append(((user_text, user_image_url), ""))  
 
     messages = [
         {
@@ -95,8 +82,6 @@ def create_response(history, user_text, user_image_path):
                        "You should use all previous messages in the conversation as context. Provide clear, positive, and useful responses."
         }
     ]
-
-    # Add all previous turns except the one we just appended (since it has no assistant response yet)
     for ((old_user_text, old_user_image_url), old_assistant_text) in history:
         old_user_content = []
         if old_user_image_url:
@@ -136,7 +121,7 @@ def create_response(history, user_text, user_image_path):
     messages.append({"role": "user", "content": new_user_content})
 
     completion = client.chat.completions.create(
-        model="grok-vision-beta",
+        model="grok-2-vision-1212",
         messages=messages,
         stream=False,
         temperature=0.01,
@@ -151,10 +136,6 @@ def create_response(history, user_text, user_image_path):
     return history, converted
 
 def chat(user_message, image, history):
-    """
-    Handle a new message from the user. The state 'history' is a list of ((user_text, user_image_url), assistant_text) tuples.
-    Returns updated history and the entire conversation as displayed in the Chatbot.
-    """
     history, assistant_output = create_response(history, user_message, image)
 
     display_chat = []