Update app.py

app.py

@@ -50,8 +50,7 @@ model = Model(input_seq, output)
 model.compile(optimizer='adam',
              loss="sparse_categorical_crossentropy",
              metrics=["accuracy"])
-model.fit(x_train, y_train, epochs=20, batch_size=32,
-         validation_data=(x_val, y_val))
+model.fit(x_train, y_train, epochs=20, batch_size=32)
 class Predict:
     def __init__(self, model, tokenizer):
         self.model = model