from Preprocessing import Preprocessing

from Interface import Interface

from Training import Training

from Test import Test

if __name__ == '__main__':

preprocessing = Preprocessing()

preprocessing.start()

num_input_tokens, num_output_tokens, encoder_input_data, decoder_input_data, decoder_target_data =\

preprocessing.get_training_parameters()

training = Training()

encoder_inputs, encoder_states, decoder_lstm, decoder_embedding,\

decoder_dense, decoder_inputs, encoder_input_data = training.train_model(num_input_tokens,

num_output_tokens,

encoder_input_data,

decoder_input_data,

decoder_target_data)

input_word_dict, max_input_seq_len, output_word_dict, max_output_len = preprocessing.get_test_parameters()

test = Test(num_input_tokens, num_output_tokens, input_word_dict,

max_input_seq_len, output_word_dict, max_output_len)

interface = Interface(test)

interface.start()