Update app.py

app.py

@@ -65,8 +65,14 @@ def cleaning_features(data):
 
 
 def pca(data):
-    encoder = joblib.load('onehot_encoder.joblib')
-    pca_model = joblib.load('pca.joblib')
+    encoder_pkl = 'onehot_encoder.pkl'
+    pca_model_pkl = 'pca.pkl'
+    
+    with open(pca_model_pkl, 'rb') as file:  
+        pca_model = pickle.load(pca_model_pkl)
+    with open(encoder_pkl, 'rb') as file:  
+        encoder = pickle.load(encoder_pkl)
+    
     one_hot_encoded = encoder.transform(data[['workclass', 'occupation']])
     encoded_columns_df = pd.DataFrame(one_hot_encoded, columns=encoder.get_feature_names_out())
     pca_result_net = pca_model.transform(encoded_columns_df)