Update app.py

app.py

@@ -115,8 +115,13 @@ class preprocess:
         checkpoint3 = ModelCheckpoint("model.hdf5", monitor='val_accuracy', verbose=1, save_best_only=True, mode='auto',
                                       period=1, save_weights_only=False)
         history = model.fit(X_train, y_train, epochs=70, validation_data=(X_test, y_test), callbacks=[checkpoint3])
+        
+    def choose_model(self):
+        best_model = keras.models.load_model("model.hdf5")
+        return best_model
 
     def test(self, text):
+        best_model = self.choose_model()
         sentiment = ['Negative', 'Positive']
         self.text = text
         self.text = purify_data(self.text)