ChatGPT UI
A web client for ChatGPT, using OpenAI's API. Provides Docker images and also supports quick deployment to servers using shell scripts.
📢Updates
2023-03-04
Update to the latest official chat model gpt-3.5-turbo
🎉🎉🎉Provide a shell script that can be used to quickly deploy the service to server Quick start
2023-02-24
Version 2 is a major update that separates the backend functionality as an independent project, hosted at [chatgpt-ui-server](https://github.com/WongSaang/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.
🚀 One-click deployment
Note: This script has only been tested on Ubuntu Server 22.04 LTS.
bash <(curl -Ls https://raw.githubusercontent.com/WongSaang/chatgpt-ui/main/deployment.sh)
If you have a domain name, you can point it to the server's IP address using DNS resolution. Of course, using the server's IP address directly is also possible. During the script's execution, you will be prompted to enter a domain name. If you do not have a domain name, you can enter the server's IP address directly.
After the deployment is complete
Access http(s)://your.domain:9000/admin / IP http(s)://123.123.123.123:9000/admin to log in to the administration panel.
Default superuser: admin
Default password: password
Before you can start chatting, you need 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.
Now you can access the web client at http(s)://your.domain or http://123.123.123.123 to start chatting.
🎉🎉🎉 Enjoy it!
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-web-server
depends_on:
- backend-web-server
ports:
- '80:80'
networks:
- chatgpt_ui_network
backend-wsgi-server:
image: wongsaang/chatgpt-ui-wsgi-server:latest
environment:
- APP_DOMAIN=${APP_DOMAIN:-localhost:9000} # CSRF whitelist,Add the address of your chatgpt-ui-web-server here, default is localhost:9000
#- 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.
#- OPENAI_API_PROXY=https://openai.proxy.com # If you are in China, you can use the proxy provided by the author to speed up the connection to the OpenAI API. If you do not need to use the proxy, you can delete this parameter.
- DJANGO_SUPERUSER_USERNAME=admin # default superuser name
- DJANGO_SUPERUSER_PASSWORD=password # default superuser password
- DJANGO_SUPERUSER_EMAIL=admin@example.com # default superuser email
# If you want to use the email verification function, you need to configure the following parameters
# - EMAIL_HOST=SMTP server address
# - EMAIL_PORT=SMTP server port
# - EMAIL_HOST_USER=
# - EMAIL_HOST_PASSWORD=
# - EMAIL_USE_TLS=True
ports:
- '8000:8000'
networks:
- chatgpt_ui_network
backend-web-server:
image: wongsaang/chatgpt-ui-web-server:latest
environment:
- BACKEND_URL=http://backend-wsgi-server:8000
ports:
- '9000:80'
depends_on:
- backend-wsgi-server
networks:
- chatgpt_ui_network
networks:
chatgpt_ui_network:
driver: bridge
Set API key
After running the services, you can access the web client at http://localhost, and an admin panel at http://localhost:9000/admin.
Default superuser: admin
Default password: password
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
