Update app.py

app.py

@@ -12,19 +12,12 @@ from langchain_community.document_loaders import WikipediaLoader, PyPDFLoader, T
 from dotenv import load_dotenv
 import tempfile
 import mimetypes
-import logging
 
-# --- Initialize logging ---
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-logger = logging.getLogger(__name__)
 
 # --- Load environment variables ---
 load_dotenv()
 HF_API_TOKEN = os.getenv("HF_API_TOKEN")
-if not HF_API_TOKEN:
-    logger.error("HF_API_TOKEN not found in environment variables! Please set it to use the HfApiModel.")
-    # Exit or raise an error if the token is critical for functionality
-    # sys.exit(1) # Uncomment if you want to exit the script if token is missing
+
 
 # --- Utility Functions ---
 def extract_youtube_id(url: str) -> str:
@@ -346,14 +339,11 @@ You are an advanced, helpful, and highly analytical research assistant. Your goa
         return agent
 
     def __call__(self, question: str) -> str:
-        logger.info(f"Received question: {question[:200]}...") # Log more of the question
-        try:
-            response = self.agent.run(question)
-            logger.info(f"Response generated successfully for question: {question[:200]}")
-            return response
-        except Exception as e:
-            logger.error(f"Agent execution failed for question '{question[:100]}': {str(e)}", exc_info=True) # Log full traceback
-            return f"Error processing your request: {str(e)}. Please try again or rephrase your question."
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        answer = self.agent.run(question)
+        print(f"Agent returning answer: {answer}")
+        return answer
+        
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """