Update app.py

app.py

@@ -311,6 +311,7 @@ def process_conversation_generator(task_message: str, api_key: str,
     Runs the multi-agent conversation in a background thread and yields conversation history updates
     as a tuple: (chat update, log state update).
     """
+    last_log_text = ""
     def run_conversation():
         asyncio.run(multi_agent_conversation(task_message, log_queue, api_key, human_event, human_input_queue))
     
@@ -320,20 +321,18 @@ def process_conversation_generator(task_message: str, api_key: str,
     while conversation_thread.is_alive() or not log_queue.empty():
         try:
             msg = log_queue.get(timeout=0.1)
-            if isinstance(msg, tuple):
-                if msg[0] in ("update", "result"):
-                    chat_update = gr.update(value=convert_history(msg[1]), visible=True)
-                    log_text = conversation_to_text(msg[1])
-                    state_update = gr.update(value=log_text)
-                    yield (chat_update, state_update)
-                else:
-                    # Optionally handle log messages.
-                    pass
+            if isinstance(msg, tuple) and msg[0] in ("update", "result"):
+                chat_update = gr.update(value=convert_history(msg[1]), visible=True)
+                last_log_text = conversation_to_text(msg[1])
+                state_update = gr.update(value=last_log_text)
+                yield (chat_update, state_update)
+            else:
+                pass
         except queue.Empty:
             pass
         time.sleep(0.1)
     
-    yield (gr.update(visible=True), gr.update())
+    yield (gr.update(visible=True), gr.update(value=last_log_text))
 
 # -------------------- Multi-Agent Chat Function --------------------
 def multi_agent_chat(message: str, openai_api_key: str = None) -> Generator[Any, None, None]: