Front-end and Back-end Separation
ChatGPT UI
A web client for ChatGPT, using OpenAI's API.
📢Updates
Version 2 is a major update that separates the backend functionality as an independent project, hosted at chatgpt-ui-server.
If you still wish to use the old version, please visit the v1 branch.
Version 2 introduces the following new features:
- 😉 Separation of the frontend and backend, with the backend now using the Python-based Django framework.
- 😘 User authentication, supporting multiple users.
- 😀 Ability to store data in an external database (defaulting to Sqlite).
- 😎 Session persistence, allowing the API to answer questions based on your context.
Quick start with Docker Compose
Run services
Below is a docker-compose.yml template:
version: '3'
services:
client:
image: wongsaang/chatgpt-ui-client:latest
environment:
- SERVER_DOMAIN=http://backend:8000
depends_on:
- backend
volumes:
- backend_static:/app/static
ports:
- '80:80'
networks:
- chatgpt_ui_network
backend:
image: wongsaang/chatgpt-ui-server:latest
environment:
# - DB_URL=postgres://postgres:postgrespw@localhost:49153/chatgpt # If this parameter is not set, the built-in Sqlite will be used by default. It should be noted that if you do not connect to an external database, the data will be lost after the container is destroyed.
- DJANGO_SUPERUSER_USERNAME=admin # default superuser name
- DJANGO_SUPERUSER_PASSWORD=password # default superuser password
- DJANGO_SUPERUSER_EMAIL=admin@example.com # default superuser email
volumes:
- backend_static:/app/static
ports:
- '8000:8000'
networks:
- chatgpt_ui_network
networks:
chatgpt_ui_network:
driver: bridge
volumes:
backend_static:
After running
After running the services, you can access the web client at http://localhost, and an admin panel at http://localhost/admin.
Before you can start chatting, you need to log in to the admin panel to add an OpenAI API key. In the Settings model, add a record with the name "openai_api_key" and the value as your API key.
Development
Setup
Make sure to install the dependencies:
# yarn
yarn install
Development Server
Start the development server on http://localhost:3000
yarn dev
Production
Build the application for production:
yarn build
