Update app.py

app.py

@@ -5,10 +5,6 @@ import chromadb  # High-performance vector database for storing/querying dense v
 from dotenv import load_dotenv  # Loading environment variables from a .env file
 import json  # Parsing and handling JSON data
 
-# Supressing logging to langchain. Remove or comment this block to see logs when debugging
-import logging
-logging.getLogger("langchain").setLevel(logging.ERROR)
-
 # LangChain imports
 from langchain_openai import ChatOpenAI
 from langchain_core.documents import Document  # Document data structures
@@ -588,7 +584,7 @@ Your goal is to walk alongside users on their spiritual journey, offering encour
         agent = create_tool_calling_agent(self.client, tools, prompt)
 
         # Wrap the agent in an executor to manage tool interactions and execution flow
-        self.agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
+        self.agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=False) #change to True to see user query 
 
 
     def store_customer_interaction(self, user_id: str, message: str, response: str, metadata: Dict = None):