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Rasa chatbot for personal info FAQs... using RASA stack. Database querying (sqlite3).. deployed using docker on heroku....

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sbmagar13/personal_rasa_chatbot

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Run on local machine

Using docker

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

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

It starts a webserver with rest api and listens for messages at localhost:5006

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?"
}]

Deploy on Heroku for testing

heroku login

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

https://*******.herokuapp.com/webhooks/rest/webhook backend endpoint Demo: https://sbmagar.github.io

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".

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Rasa chatbot for personal info FAQs... using RASA stack. Database querying (sqlite3).. deployed using docker on heroku....

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