Add starting wait message

app.py

@@ -570,7 +570,8 @@ SPEAKER FORMAT:
 **Speaker Name**
 ....
 """
-
+            print("User Prompt is:\n", user_prompt)
+            print("System Prompt is:\n", system_prompt)
             completion = client.chat.completions.create(
                 model="gpt-4o",
                 messages=[
@@ -1030,19 +1031,33 @@ def create_chat_interface():
                 chatbot_value = [(None, error_message)]
                 return [chatbot_value, None, None, None, None, None, None, None]
 
+        def display_processing_message(chatbot_value):
+            """Display the processing message while maintaining state."""
+            # Create new chatbot value with processing message
+            new_chatbot_value = [
+                (None, "Video is being processed. Please wait for the results...")
+            ]
+
+            # Return all states to maintain them
+            return new_chatbot_value
+
         def stream_initial_analysis(
             chatbot_value, transcript_processor, cid, rsid, origin, ct, uid
         ):
-            if transcript_processor:
+            if not transcript_processor:
+                return chatbot_value
+
+            try:
                 for chunk in get_initial_analysis(
                     transcript_processor, cid, rsid, origin, ct, uid
                 ):
+                    # Update the existing message instead of creating a new one
                     chatbot_value[0] = (None, chunk)
                     yield chatbot_value
-            else:
+            except Exception as e:
+                chatbot_value[0] = (None, f"Error during analysis: {str(e)}")
                 yield chatbot_value
 
-        # Modified load event to handle streaming
         demo.load(
             on_app_load,
             inputs=None,
@@ -1056,6 +1071,10 @@ def create_chat_interface():
                 turl_state,
                 uid_state,
             ],
+        ).then(
+            display_processing_message,
+            inputs=[chatbot],
+            outputs=[chatbot],
         ).then(
             stream_initial_analysis,
             inputs=[
@@ -1069,7 +1088,6 @@ def create_chat_interface():
             ],
             outputs=[chatbot],
         )
-
     return demo