def test_new_example(model, tokenizer, le, text_input):
    X_example = transform_text(tokenizer, [text_input])
    label_array = model.predict(X_example)
    new_label = np.argmax(label_array, axis=(- 1))
    print(new_label)
    print(le.inverse_transform(new_label))
def test_new_example(model, tokenizer, le, text_input):
    X_example = transform_text(tokenizer, [text_input])
    label_array = model.predict(X_example)
    new_label = np.argmax(label_array, axis=(- 1))
    print(new_label)
    print(le.inverse_transform(new_label))