jiayiwang5 / Chinese Chatbot
中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。
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Chinese-ChatBot/中文聊天机器人
环境配置
| 程序 | 版本 |
|---|---|
| python | 3.68 |
| tensorflow | 1.13.1 |
| Keras | 2.2.4 |
| windows10 | |
| jupyter |
主要参考资料
关键点
- LSTM
- seq2seq
- attention 实验表明加入attention机制后训练速度快，收敛快，效果更好。
语料及训练环境
青云语料库10万组对话，在google colaboratory训练。
运行
方式一：完整过程
-
数据预处理
get_data
-
模型训练
chatbot_train(此为挂载到google colab版本，本地跑对路径等需略加修改)
-
模型预测
chatbot_inference_Attention
方式二：加载现有模型
- 运行
chatbot_inference_Attention
- 加载
models/W--184-0.5949-.h5
界面(Tkinter)
Attention权重可视化
其他
- 训练文件chat_bot中，最后三块代码前两个是挂载谷歌云盘用的，最后一个是获取那些loss方便画图，不知道为什么回调函数里的tensorbord不好使，故出此下策；
- 预测文件里倒数第二块代码只有文字输入没界面，最后一块代码是界面，根据需求两块跑其一即刻；
- 代码中有很多中间输出，希望对你理解代码提供了些许帮助;
- models里面有一个我训练好的模型，正常运行应该是没有问题的，你也可以自己训练
- 本人能力有限，并未找到量化对话效果的指标，因此loss只能大致反映训练进度。
- 未完待续。
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