Blog

This repository is build while writing this blog https://medium.com/analytics-vidhya/deploying-rasa-chatbot-on-heroku-using-docker-7199bf16c219 .

Repo is devided into two parts

1. chatbot It contains Rasa chatbot server.
2. website It contains Django server for frontend.

Install dependency

1. For chatbot folder

$ pip install --no-cache rasa==1.5.3

2. For website folder

$ cd website
$ pip install -r requirements.txt

Steps to see demo

1. Start rasa server

• Change directory chatbot

cd chatbot

• Start rasa actions server

$ rasa run actions

• Start rasa-x if you want to change intent, dialogue and train it again or skip this step.

$ rasa x

• Start rasa api server

$ rasa run --cors "*" --enable-api

2. Start Django server

• Change directory chatbot

cd website

• If you want to run your local chatbot then change the this url https://github.com/dlmade/blog/blob/master/website/rasaweb/static/js/script.js#L40 with following one

url: 'http://localhost:5005/webhooks/rest/webhook',

• Start django server

$ python manage.py runserver

3. See magic in browser Run following url in your browser and interect with your bot

127.0.0.1:8000