Update app.py

app.py

@@ -18,7 +18,7 @@ from sklearn.ensemble import HistGradientBoostingRegressor
 hgbr = HistGradientBoostingRegressor()
 num_features = X.select_dtypes(include=['int64']).columns
 cat_features = X.select_dtypes(include='object').columns
-transformer = ColumnTransformer(transformers=[('num', StandardScaler(), num_features),('cat', OneHotEncoder(sparse=0), cat_features)])
+transformer = ColumnTransformer(transformers=[('num', StandardScaler(), num_features),('cat', OneHotEncoder(sparse_output=False), cat_features)])
 pipe = Pipeline(steps=[('preprocessor', transformer), ('model', hgbr)])
 
 pipe.fit(X_train, y_train)