Deploy

AI Short is an open source project, you can modify the name and description of the website freely.

• To change the page name, edit the docusaurus.config.js file.
• To modify the instructions, go to the docs directory.
• To modify the prompt words, you can find them in src/data/prompt.json. If you only need to modify a single language, such as Chinese, you can directly edit src/data/prompt_zh.json.
• Currently, the user backend is connected to a common backend system. If necessary, you can build your own backend, and the relevant interface is located in the src/api.js file.

CodeUpdateHandler.py is a script for batch processing multi-language deployment. After completing the modification, execute python CodeUpdateHandler.py, which will split prompt.json into multiple languages ​​according to the rules, and synchronize the main page code of each language and the independent page code of the selected prompt words.

Deployment

Deploy With Vercel

Click the button below to deploy ChatGPT-Shortcut to the Vercel platform with one click:

With Vercel, you can quickly host your project and automatically handle builds and deployments, which is suitable for users who do not have complex server configuration requirements.

Local Deployment

Make sure you have installed Node.js.

# Installation
yarn

# Local Development
yarn start

# Build: This command generates static content into the `build` directory
yarn build

# Update the `defaultLocale` in the `docusaurus.config.js` file, then perform a build for the desired language.
yarn build --locale zh
yarn build --locale en
yarn build --locale ja
yarn build --locale ko
yarn build --locale es
yarn build --locale fr
yarn build --locale de
yarn build --locale it
yarn build --locale ru
yarn build --locale pt
yarn build --locale hi
yarn build --locale ar
yarn build --locale bn

# Deploy for multiple languages
yarn build --locale zh && yarn build --locale en

Docker Deployment

If you are familiar with Docker, you can quickly deploy with the following command:

# ghcr.io
docker run -d -p 3000:3000 --name chatgpt-shortcut ghcr.io/rockbenben/chatgpt-shortcut:latest

# docker hub
docker run -d -p 3000:3000 --name chatgpt-shortcut rockben/chatgpt-shortcut:latest

Alternatively, you can use docker-compose:

version: "3.8"

services:
  docsify:
    container_name: chatgpt-shortcut
    image: ghcr.io/rockbenben/chatgpt-shortcut:latest
    ports:
      - "3000:3000"
    restart: unless-stopped

Synchronized Updates

If you have deployed your own project on Vercel with a single click, you might encounter an issue where updates are consistently indicated. This arises from Vercel's default behavior of creating a new project for you instead of forking the current project, thereby impeding proper update detection. It is recommended to follow the subsequent steps for re-deployment:

1. Remove the previous repository.
2. Utilize the "fork" button located in the upper right corner of the page to fork the current project.
3. On the Vercel New Project page, select the recently forked project from the Import Git Repository section and proceed with deployment.

Automatic Updates

In the event of encountering an error during the execution of Upstream Sync, manually perform a single Sync Fork.

Once you have forked the project, due to GitHub restrictions, it is necessary to manually enable Workflows on the Actions page of your forked project and activate the Upstream Sync Action. Upon activation, updates will be automatically executed on a daily basis.

Manual Updates

If you wish to manually update immediately, you can refer to GitHub's documentation to learn how to synchronize the forked project with the upstream code.

Feel free to show support for this project by giving it a star/follow, or by following the author, to stay informed about timely notifications regarding new feature updates.