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 this program, we recommend visiting the official University of Education fee structure page.
+You’ll find comprehensive information regarding tuition, admission charges, and other applicable fees there.\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)