Update rag.py

rag.py

@@ -63,24 +63,24 @@ def get_best_answer(user_input):
     best_match_idx = similarities.argmax().item()
     best_score = similarities[best_match_idx].item()
 
-    # ✏️ If not matched well, log to Excel
+    # ✏️ If not matched well, log to CSV
     if best_score < 0.65:
-    file_path = "unmatched_queries.csv"
-
-    # Check if file exists
-    if not os.path.exists(file_path):
-        # Create file and write header
-        with open(file_path, mode="w", newline="", encoding="utf-8") as file:
-            writer = csv.writer(file)
-            writer.writerow(["Unmatched Queries"])
-
-    try:
-        # Append new query
-        with open(file_path, mode="a", newline="", encoding="utf-8") as file:
-            writer = csv.writer(file)
-            writer.writerow([user_input])
-    except Exception as e:
-        print(f"Error writing to unmatched_queries.csv: {e}")
+        file_path = "unmatched_queries.csv"
+
+        # Check if file exists
+        if not os.path.exists(file_path):
+            # Create file and write header
+            with open(file_path, mode="w", newline="", encoding="utf-8") as file:
+                writer = csv.writer(file)
+                writer.writerow(["Unmatched Queries"])
+
+        try:
+            # Append new query
+            with open(file_path, mode="a", newline="", encoding="utf-8") as file:
+                writer = csv.writer(file)
+                writer.writerow([user_input])
+        except Exception as e:
+            print(f"Error writing to unmatched_queries.csv: {e}")
 
     # 🧠 Prompt construction
     if best_score >= 0.65:
@@ -114,3 +114,4 @@ def get_best_answer(user_input):
         🌐 ue.edu.pk"""
 
     return response
+