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Volgai Chatbot

VolgAI web AI powered chatbot with the rasa stack.

Run on local machine

Using docker

Both action server and rasa-core runs as separate processes in the same container.

sudo docker build -t volgai-chatbot .
sudo docker run -it --rm -p 5005:5005 volgai-chatbot

It starts a webserver with rest api and listens for messages at localhost:5005

Test over REST api

curl --request POST \
  --url http://localhost:5005/webhooks/rest/webhook \
  --header 'content-type: application/json' \
  --data '{
    "message": "Hello"
  }'

Response

HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: 59
Access-Control-Allow-Origin: *

[{
  "recipient_id": "default",
  "text": "Hi, how is it going?"
}]

Run using docker compose

Optionally to run the actions server in separate container start the services using docker-compose. The action server runs on http://action_server:5055/webhook (docker's internal network). The rasa-core services uses the config/endpoints.local.yml to find this actions server

sudo docker-compose up

Deploy on Heroku for testing

heroku login

git add .
git commit -m "commmit message here"

For free tier heroku deployment, we have to run both rasa server and custom action server in a same container. So, pushing project as a docker container:

sudo heroku container:login
sudo heroku container:push -a <heroku app name> web

sudo heroku container:release -a <heroku app name> web

Deploy in server other than heroku

We can deploy with any method(docker container, docker-compose, or using "supervisord" for multiple services processing) ##Using supervisord Comment following lines in Dockerfile:

RUN chmod +x /app/scripts/*

CMD /app/scripts/start_services.sh

Uncomment following lines in Dockerfile:

RUN apt-get install -y supervisor

COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf

and

CMD ["/usr/bin/supervisord"]

Then you're ready to deploy with process manager "supervisord".

Rasa-Chatbot

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