Replace the rasachat/models folder with your models folder and run django server and bot.py file
pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.10.0-py2-none-any.whl
pip install rasa-core
pip install rasa-nlu
pip install django
pip install django-decouple
pip install django-cors-headers
Integrating Rasa Core with Django backend and finally using Webchat for chatbot user interface
In this project we will be using rasa_core for our chatbot backend django for website backend and rasa-webchat for chatbot User Interface
We have to first create a Rasa SocketIO Channel Layer
Create a separate file for this layer in rasachat folder bot.py
from rasa_core.agent import Agent
from rasa_core.channels.socketio import SocketIOInput
from rasa_core.agent import Agent
# load your trained agent
agent = Agent.load('models/dialogue', interpreter='models/current/nlu')
input_channel = SocketIOInput(
# event name for messages sent from the user
user_message_evt="user_uttered",
# event name for messages sent from the bot
bot_message_evt="bot_uttered",
# socket.io namespace to use for the messages
namespace=None
)
# set serve_forever=False if you want to keep the server running
s = agent.handle_channels([input_channel], 5500, serve_forever=True)
Above piece of code comes from Rasa docs
Then in your html template configure rasa-webchat with following code
<body>
<div id="webchat">
<script src="https://storage.googleapis.com/mrbot-cdn/webchat-latest.js"></script>
<script>
WebChat.default.init({
selector: "#webchat",
initPayload: "/get_started",
interval: 1000, // 1000 ms between each message
customData: {"sender": "django"}, // arbitrary custom data. Stay minimal as this will be added to the socket
socketUrl: "http://localhost:5500/",
title: "Connect",
subtitle: "The bot which connects people",
profileAvatar: "https://rasa.com/assets/img/demo/rasa_avatar.png",
showCloseButton: true,
fullScreenMode: false
})
</script>
</div>
</body>
The socketUrl is the url endpoint that we configured with rasa socketio layer and the profileAvatar is the image that is displayed in bot message
Now run the django server and the socketio server using
../Django-Rasa-Bot> python manage.py runserver
../Django-Rasa-Bot/rasachat> python bot.py
Now open the url 127.0.0.1:8000 and open the chat widget and
enter hi there and the bot will reply