remove project

README.md

@@ -1,84 +1,26 @@
-# rasa_chatbot
-A Chinese task oriented chatbot in  IVR(Interactive Voice Response) domain(电信ivr领域， 中文)， Implement by rasa nlu and rasa core. This is a demo with toy dataset.
 
-### install dependency:
-- [follow here](https://github.com/zqhZY/rasa_chatbot/blob/master/INSTALL.md)
+## install dependency
 
-### dir tree
-```
-rasa_chatbot/
-├── chat_detection            # chat domain detection, todo now
-├── data
-│   ├── mobile_nlu_data.json  # rasa nlu train data
-│   ├── mobile_story.md       # rasa core train data
-│   └── total_word_feature_extractor.dat  # mitie word vector feature
-├── tools                     # tools for data process
-├── __init__.py               # init file
-├── httpserver.py             # rasa nlu httpserver
-├── bot.py                    # ivr bot main script.
-├── mobile_domain.yml         # rasa core domain file
-├── mobile_nlu_model_config.json  # rasa nlu config file
-├── models                    # directory to save trained models
-└── README.md                 # readme file
-
-```
-
-### train nlu model
-```bash
-python bot.py train-nlu
-```
+#### python3
+install or update to python 3
 
-### train dialogue
-```bash
-python bot.py train-dialogue
+#### install chinese version of rasa nlu
 ```
-### train dialogue in online mode
-```
-python bot.py online_train
+git clone https://github.com/crownpku/Rasa_NLU_Chi.git
+cd rasa_nlu
+pip install -r requirements.txt
+python setup.py install
 ```
 
-### test
-Run command below:
-```bash
-python bot.py run
-```
-Example1:
-```
-Bot loaded. Type a message and press enter : 
-YOU：你是谁
-BOT：您好!，我是机器人小热，很高兴为您服务。
-YOU：我想看一下消费情况
-BOT：您想查询哪个月的消费？
-YOU：十月份的
-BOT：好，请稍等
-BOT：您好，您十月份共消费二十八元。
-YOU：好谢谢
-BOT：您开心我就开心
-BOT：您还想干什么
-YOU：没什么了
-BOT：Bye， 下次再见
+#### install sklearn and MITIE
 
 ```
-Example2:
-```
-Bot loaded. Type a message and press enter : 
-YOU：给我看看我上月用了多少话费
-BOT：好，请稍等
-BOT：您好，您上月共消费二十八元。
-BOT：您还想干什么
-
+pip install -U scikit-learn sklearn-crfsuite
+pip install git+https://github.com/mit-nlp/MITIE.git
 ```
 
-### train word vector
+#### install rasa_core
 
-You can train your own MITIE model using following method:
 ```
-$ git clone https://github.com/mit-nlp/MITIE.git
-$ cd MITIE/tools/wordrep
-$ mkdir build
-$ cd build
-$ cmake ..
-$ cmake --build . --config Release
-$ ./wordrep -e /path/to/your/folder_of_cutted_text_files
+pip install rasa_core
 ```
-/path/to/your/folder_of_cutted_text_files above is a directory path in which has word cutted data files to train. This process may cost one or two days.