木兰聊天机器人

部署步骤:

• 目录model为存放RNN模型目录, 需要从其目录README.md指定链接下载模型文件到model目录中
• 安装依赖包: pip3 install -r requirements.txt

启动步骤:

• 启动命令: nohup python3 connect.py &
• 注意: 该方法服务会监听在80端口
• 说明: 每当有IR请求, connect.py会实例化一个reterival_client.Client类对象, 连接本地10086端口的IR的服务
• 在启动后，再在微信公众号管理平台上填写服务器地址(URL)和令牌(Token), Token在config.py中文件配置

环境要求:

• Python3
• 最好是Linux, Windows上微信依赖库安装会出现问题

其他说明:

• 需要配合https://github.com/ricosr/retrieval_chatbot 一起使用

mulan_chatbot

deploy steps:

• folder model is to save RNN model, you need to download the model files into folder model according to the URL of README.md in model folder
• install requirement packages: pip3 install -r requirements.txt

start steps:

• starting command: nohup python3 connect.py &
• attention: this way will listen port 80
• explanation: when there is a IR request, connect.py will build a object of reterival_client.Client, which can connect local IR server through 10086 port
• after starting, you need to set the server URL and Token in management platform of WeChat Official Account, you can change Token in config.py

environment requirement:

• Python3
• Operating system had better be Linux, there may occur some problems about packages of WeChat in Windows

other introduction:

• this project need to be deployed with https://github.com/ricosr/retrieval_chatbot together