Update app.py

app.py

@@ -12,7 +12,11 @@ df = pd.read_csv('processed_data.csv')  # Replace with the correct path to your
 # Load the LabelEncoder and ColumnTransformer before prediction
 with open('label_encoder.pkl', 'rb') as f:
     label_encoder = pickle.load(f)
-
+    
+ct = ColumnTransformer(
+    transformers=[('encoder', OneHotEncoder(sparse_output=False, drop="first"),[0, 1, 9, 10])],
+    remainder="passthrough"
+)
 # Assuming 'ct' is your ColumnTransformer (replace this with the actual loading code for your preprocessor)
 # Make sure that 'ct' is properly loaded, or use the same transformation logic here.