This chatbot uses Rasa.
Right now the documentation only contains interesting links to get started with docs
Make sure that:
- You have python3.
- pipenv is installed, if not run
pip install pyenv. - Language setup correctly to english
export LC_ALL=en_US.UTF-8
export LANG=en_US.UTF-8
Make sure that graphviz is installed, in OSX that will be:
brew install pkg-config graphvizTo install all dependencies execute:
pipenv install --dev
First you need to train the bot, to do start by downloading language dependencies (this only need to be done once):
pipenv run python -m spacy download en_core_web_md
pipenv run python -m spacy link en_core_web_md en
Then run training use:
pipenv run chatbot/cli/train.pyfor running normal training.pipenv run chatbot/cli/train_online.pyfor running interactive training.
First make sure that redis is running locally, one way of doing it is by running:
docker run --publish 6379:6379 --name redis -d redisThen to start the bot there is multiple ways:
- In the console:
pipenv run chatbot/cli/console.py - As a google chat api:
pipenv run chatbot/cli/server.py - As a google chat api using Heroku:
pipenv run heroku local
To reduce logging verbosity set the environment variable LOGLEVEL to error, for example:
LOGLEVEL=ERROR pipenv run chatbot/cli/console.py
To run tests use:
pipenv run pytestYou need to send a POST to the following endpoint http://localhost:5000/endpoint, the body should conforms to
what Google Chat send, for more information about the payload check tests/helpers.py file for example of payload.
Another way to test will be to create a test bot in Google Chat, you can more information about how to do that here.
Also you can use ngrok to expose a public address and use that in the bot configuration, just make sure that you set the HANGOUT_API_KEY environment variable to the same value that Google Chat provides.