ChatBot

Build a Chatbot Using Python, Django

Technologies Used

ChatterBot Library - To generate automated responses to a user’s input.
Celery - Getting the automated response from a machine-learning dialog engine is going to take a while. So Celery will be used to perform this task in the background.
WebSockets using Django Channels - To send to the client the automated response generated by the machine learning model immediately when it’s available.
Redis - Will be used as a message broker and result backend for Celery. In addition, it will be used as a channel layer for WebSocket communication.
TailwindCSS - To create the user interface.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
chat		chat
config		config
theme		theme
.dockerignore		.dockerignore
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
docker-compose.yml		docker-compose.yml
entrypoint.sh		entrypoint.sh
manage.py		manage.py
requirements.txt		requirements.txt