Upload app.py

app.py

@@ -80,7 +80,7 @@ print("\nThe accuracy of decisiontreelassifier on Heart disease prediction datas
 
 joblib.dump(dt, 'heart_disease_dt_model.pkl')
 
-from concrete.ml.sklearn.tree import XGBClassifier as ConcreteXGBClassifier
+from concrete.ml.sklearn.xgb import XGBClassifier as ConcreteXGBClassifier
 
 fhe_compatible = ConcreteXGBClassifier.from_sklearn_model(dt, x_train, n_bits = 10)
 fhe_compatible.compile(x_train)