Update rag.py

rag.py

@@ -48,11 +48,12 @@ def get_best_answer(user_input):
 
     # 👉 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 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"
-        )
+    return (
+        "💰 For complete and up-to-date fee details for this program, we recommend visiting the official University of Education fee structure page.\n"
+        "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)