Update app.py

app.py

@@ -14,7 +14,7 @@ from transformers.agents.search import DuckDuckGoSearchTool
 
 logging.basicConfig(level=logging.INFO)
 
-logging.info('App loading')
+logging.info('App loading\n')
 
 # Import tool from Hub
 image_generation_tool = load_tool("m-ric/text-to-image")
@@ -26,7 +26,7 @@ search_tool = DuckDuckGoSearchTool()
 # Initialize the agent with the image generation tool
 agent = ReactCodeAgent(tools=[image_generation_tool], llm_engine=llm_engine, additional_authorized_imports=['requests', 'bs4'] , add_base_tools=True)
 
-logging.info('App initialized')
+logging.info('App initialized \n')
 
 # Initializes your app with your bot token and socket mode handler
 app = App(token=os.environ.get("SLACK_BOT_TOKEN"))
@@ -66,6 +66,10 @@ def respond_in_assistant_thread(
         # Tell the human user the assistant bot acknowledges the request and is working on it
         set_status("Agent is hard at work...")
 
+        query = payload['blocks'][0]['elements'][0]['elements'][0]['text']
+
+        logging.info('Query ' + query + '\n')
+        
         # Collect the conversation history with this user
         replies_in_thread = client.conversations_replies(
             channel=context.channel_id,
@@ -79,7 +83,7 @@ def respond_in_assistant_thread(
             messages_in_thread.append({"role": role, "content": message["text"]})
 
         # Pass the latest prompt and chat history to the LLM (call_llm is your own code)
-        returned_message = call_llm('What does SLACK ( software ) stands for ?')
+        returned_message = call_llm(query)
 
         # Post the result in the assistant thread
         say(text=returned_message)
@@ -95,5 +99,5 @@ app.use(assistant)
 
 # Start your app
 if __name__ == "__main__":
-    logging.info('Listening on socket mode')
+    logging.info('Listening on socket mode \n')
     SocketModeHandler(app, os.environ["SLACK_APP_TOKEN"]).start()