NOTE: Currently not working. This repo is currently under development, open issue for any question.

Django-Rasa-Sockets

Rasa Chatbot using Django backend and Sockets for communication

Assuming you have a starter django project with static and templates folder configured with django and a root index view rendering index.html file from templates folder

A basic rasa core and rasa nlu made chatbot with socket.io setup is inside rasachat folder of the repo

Steps to setup socket.io

1. Install NodeJS from official site.

2. Inside root folder run command

   npm init
   

   You will be asked to enter details for the project, you can enter whatever you want. This command will create a package.json file.

3. Install socket.io using npm

   npm install --save socket.io
   

4. Install browserify using npm globally

   npm install -g browserify
   

5. Now in static/js folder, create two files, one for backend javascript code and another for frontend which will be created by browserify

   chat.js 	-> backend written by us
   bundle.js 	-> frontend compiled by browserify
   

6. When you have your backend javascript code ready with socket.io setup run browserify command to compile file for frontend

   cd static/js
   browserify chat.js -o bundle.js
   

7. In templates/index.html file load static and add script tag for browserify compiled bundle.js file

   <script src="{% static 'js/bundle.js' %}" type="text/javascript" charset="utf-8"></script>
   

   You can reuse the javascript code from the repo

8. Run the django server from root folder

   python manage.py runserver
   

   Run the rasa core server from rasachat folder

   cd rasachat
   python bot.py 	-> python script for rasa socket server
   # or you can run using run script
   python -m rasa_core.run -d models/dialogue -u models/current/nlu --port 5500 --credentials credentials.yml 		-> Using run script
   

   interact with chatbot using sockets and django.

Usage

git clone https://github.com/Alexmhack/Django-Rasa-Sockets

Replace the rasachat folder with your rasa core chatbot and follow the ** 8th step**

Locate to 127.0.0.1:8000/ and click on button at bottom right and enter hey in the input.