New Update

app.py

@@ -16,4 +16,21 @@ scaler = joblib.load('https://drive.google.com/file/d/1qdh31R8f7KzP3UZY9rZkMUrtx
 lr_model = joblib.load('https://drive.google.com/file/d/1qdh31R8f7KzP3UZY9rZkMUrtxDbX69sr/view?usp=drive_link/lr_smote_model.joblib')
 
 
+def preprocess_input(input_data):
+    input_df = pd.DataFrame(input_data, index=[0])
 
+    cat_columns = [col for col in input_df.columns if input_df[col].dtype == 'object']
+    num_columns = [col for col in input_df.columns if input_df[col].dtype != 'object']
+
+    input_df_imputed_cat = cat_imputer.transform(input_df[cat_columns])
+    input_df_imputed_num = num_imputer.transform(input_df[num_columns])
+
+    input_encoded_df = pd.DataFrame(encoder.transform(input_df_imputed_cat).toarray(),
+                                    columns=encoder.get_feature_names_out(cat_columns))
+
+    input_df_scaled = scaler.transform(input_df_imputed_num)
+    input_scaled_df = pd.DataFrame(input_df_scaled, columns=num_columns)
+    final_df = pd.concat([input_encoded_df, input_scaled_df], axis=1)
+    final_df = final_df.reindex(columns=original_feature_names, fill_value=0)
+
+    return final_df