Update rag.py

rag.py

@@ -47,12 +47,12 @@ def get_best_answer(user_input):
     user_input_lower = user_input.lower().strip()
 
     # 👉 Check if question is about fee
-    if any(keyword in user_input_lower for keyword in ["fee", "fees", "charges", "semester fee"]):
-        return (
-            "💰 For complete and up-to-date fee details for all programs, "
-            "please visit the official University of Education fee structure page:\n"
-            "🔗 https://ue.edu.pk/allfeestructure.php"
-        )
+    # if any(keyword in user_input_lower for keyword in ["fee", "fees", "charges", "semester fee"]):
+    #     return (
+    #         "💰 For complete and up-to-date fee details for all programs, "
+    #         "please visit the official University of Education fee structure page:\n"
+    #         "🔗 https://ue.edu.pk/allfeestructure.php"
+    #     )
 
     # 🔁 Continue with normal similarity-based logic
     user_embedding = similarity_model.encode(user_input_lower, convert_to_tensor=True)
@@ -62,7 +62,7 @@ def get_best_answer(user_input):
 
     if best_score >= 0.65:
         original_answer = dataset_answers[best_match_idx]
-        prompt = f"""As an official assistant for University of Education Lahore, provide a clear response:
+        prompt = f"""You are an assistant for University of Education Lahore. Your task is to rephrase the provided answer without changing its meaning. Make it clearer and more professional.
         Question: {user_input}
         Original Answer: {original_answer}
         Improved Answer:"""