Update model_evaluation.py

model_evaluation.py

@@ -81,22 +81,31 @@ def generate_response(question):
 def generate_response_with_context(user_query, relevant_segment):
     """
     Generate a response based on a user query and a relevant segment.
-
+    
     Parameters:
     - user_query (str): The user's query.
     - relevant_segment (str): A relevant fact or detail.
-
+    
     Returns:
     - str: Formatted response incorporating the relevant segment.
     """
     try:
+        # Prepare the prompt incorporating the relevant segment
         prompt = f"Thank you for your question! Here is an additional fact about your topic: {relevant_segment}"
+        
+        # Calculate the maximum tokens allowed for the response
         max_tokens = len(tokenizer(prompt)['input_ids']) + 50
+        
+        # Generate the response using the model
         response = gpt_model(prompt, max_length=max_tokens, temperature=0.25)[0]['generated_text']
+        
+        # Clean up the response for better formatting and clarity
         return clean_up_response(response, relevant_segment)
+    
     except Exception as e:
         print(f"Error generating response: {e}")
-        return ""
+        return "I'm sorry, but there was an error generating your response. Please try again."
+
 
 def clean_up_response(response, segment):
     """