RASA Chatbot
A task oriented chatbot in restaurant domain, implemented using Rasa NLU and Rasa Core.
Dependencies
All the project dependencies has been mentioned in Pipfile and for a reproducible build, a Pipfile.lock has also been provided.
In order to install using pip
# download Spacy Model
pip install rasa[spacy]
python -m spacy download en_core_web_md
python -m spacy link en_core_web_md en
# Install Project dependencies
pip install
Directory Tree
rasa-chatbot
├── actions.py # Have all the custom actions defined
├── App_nlu.py # Rasa NLU Httpserver
├── data
│ ├── data.json # train data json format
│ ├── stories.md # Train data stories
│ └── cities.csv # csv for valid cities
├── config.yml # Rasa NLU config file
├── restaurant_domain.yml # Rasa Core Config file
├── models # Pretrained models
│ ├── dialogue
│ └── nlu
├── README.md
├── nlu_model.py # Initial Train script of Rasa NLU
├── train_online.py # Train script with online training of Rasa NLU
└── train_init.py # Train script of Rasa NLU