Update app.py

app.py

@@ -121,7 +121,8 @@ def ask_interview_question(respondent_agents_dict, question, processor_llm):
         respondent_agent = respondent_agents_dict[agent_name].get_agent()
         user_profile     = respondent_agents_dict[agent_name].get_user_profile()
         
-        communication_style = user_profile.get_field("Communication", "Style")
+#        communication_style = user_profile.get_field("Communication", "Style")
+        communication_style = ""
 
         question_task_description = f"""
 You are responding to a market research interview question. Your response must strictly follow the **style and tone** outlined below.  
@@ -179,28 +180,41 @@ A culturally authentic and conversational response to the question: '{question}'
             agent=respondent_agent
         )
     
-        logging.info(f"Executing task for {agent_name}")
-    
+        logging.debug(f"Created task for agent '{agent_name}' with description: {question_task_description}")
+        
+        # Log before starting task execution
+        logging.info(f"Executing task for agent '{agent_name}'")
+        
         # Create a new crew for each agent-question pair
         crew = Crew(
             agents=[respondent_agent],
             tasks=[question_task],
             process=Process.sequential
         )
-    
+        logging.debug(f"Crew initialized for agent '{agent_name}' with 1 task and sequential process")
+        
         try:
+            # Start the task
             crew_output = crew.kickoff()
+            logging.info(f"Task execution completed for agent '{agent_name}'")
+        
             task_output = question_task.output
-    
+            logging.debug(f"Raw output from agent '{agent_name}': {task_output.raw}")
+        
             # Collect and format the response
             if task_output.raw:
-                responses.append(f"**{agent_name}**: {task_output.raw}")
+                formatted_response = f"**{agent_name}**: {task_output.raw}"
+                responses.append(formatted_response)
+                logging.info(f"Formatted response from agent '{agent_name}' added to responses")
             else:
-                responses.append(f"**{agent_name}**: I wasn't able to answer right now - can you try again?")
-    
+                fallback_response = f"**{agent_name}**: I wasn't able to answer right now - can you try again?"
+                responses.append(fallback_response)
+                logging.warning(f"No output from agent '{agent_name}'. Added fallback response.")
+        
         except Exception as e:
-            logging.error(f"Error during execution for {agent_name}:", exc_info=True)
-            responses.append(f"**PreData Moderator**: An error occurred while processing {agent_name}'s response. Please try again.")
+            logging.error(f"Error during task execution for agent '{agent_name}': {str(e)}", exc_info=True)
+            error_response = f"**PreData Moderator**: An error occurred while processing {agent_name}'s response. Please try again."
+            responses.append(error_response)
     
     return responses