def do_shell(_):
with tf.Session() as sess:
saver.restore(sess, checkpoint_path)
sentence = '请输入句子,要退出请输入：bye'
logger.info(sentence)
while sentence != 'bye':
sentence = input("input> ")
if sentence == 'bye':
logger.info("准备退出...")
elif sentence == '':
logger.info("请不要打回车玩哦！")
elif '__user__' not in sentence:
logger.info("请输入正确的格式！提示：Question__user__Answer;退出请输入：bye")
else:
shell_gen = generate_batch_shell(sentence)
source, source_seq_length, target, target_seq_length = next(
shell_gen)
preds = sess.run(pred, feed_dict={encode_question: source, encode_answer: target,
question_sequence_length: source_seq_length, answer_sequence_length: target_seq_length})
predict = preds[0]
logger.info("输入原句：{}".format(sentence))
if predict[0] == 1:
logger.info("输出结果：该句识别准确")
else:
logger.info("输出结果：该句识别不准确")
logger.info('谢谢使用，再见！')
def do_shell(_):
with tf.Session() as sess:
saver.restore(sess, checkpoint_path)
sentence = '请输入句子,要退出请输入：bye'
logger.info(sentence)
while sentence != 'bye':
sentence = input("input> ")
if sentence == 'bye':
logger.info("准备退出...")
elif sentence == '':
logger.info("请不要打回车玩哦！")
elif '\t' not in sentence:
logger.info("请输入正确的格式！提示：Question\tAnswer;退出请输入：bye")
else:
shell_gen = generate_batch_shell(sentence)
source, target = next(shell_gen)
preds = sess.run(pred, feed_dict={encode_question: source, encode_answer: target})
predict = preds[0]
intention = label_dict[str(predict)]
logger.info("输入原句：{}".format(sentence))
logger.info("输出意图：{}".format(intention))
logger.info('谢谢使用，再见！')