def run_lstm_on_test_data(model_filename, weights_filename, kaggle_filename):
dm = DataModel()
test_x, test_id = dm.get_test_data()
print(test_x.shape)
_, data = utils.get_word_index(test_x)
# word_embeddings = utils.get_glove_embeddings()
# _ = utils.get_embedding_matrix(word_embeddings, word_index)
y = utils.load_model_and_evaluate(model_filename, weights_filename, data)
utils.write_kaggle_file(y, test_id, kaggle_filename)
