update

app.py

@@ -195,6 +195,8 @@ st.info("Upload a CSV file, and the trained models will predict click probabilit
 
 catboost, xgb, rf = load_models()
 
+expected_feature_order = catboost.feature_names_
+print("Expected Feature Order:", expected_feature_order)
 # Upload File
 uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
 if uploaded_file:
@@ -202,7 +204,7 @@ if uploaded_file:
     st.success("File uploaded successfully!")
 
     # ✅ Compute aggregations & preprocess
-    input_df = preprocess_input(input_df)
+    input_df = preprocess_input(input_df, expected_feature_order)
 
     # ✅ Make Predictions
     st.subheader("Predictions in Progress...")