title	tags	use	languages	dependences
TranslateGPT	programming, studies	Documantation	YAML	GitHub

Automatic Translation of Markdown Files using GitHub Actions

Warning

This bot still must be tested, all of this information is just a canception of an idea that I've had. If you found this and you already done the same, PLEASE let me know, so I'll revise the information here.

I've been trying to record everything I see in my learning process within programming/software development and as a non-native user of English (despite having good ease with the language), I understand that not everyone in the vast internet community has the same proficiency, knowing that all the documents have to be translated, the project atempts to create a workflow that monitors for changes in Markdown files, translates them into the desired language, and stores the translations in a "translate" folder.

Why use an AI model and not an existing translate API? It could be done, but you could add aditional triggers to optimise the text and the model is better prepared to handle all the markdown flavoured sintaxes.

Please follow the steps below to set up this workflow in your repository.

Warning

To use the OPENAI_API_KEY, you need a valid OpenAI account with a paid subscription. The API key is used to authenticate and authorize your access to OpenAI's API services, including language translation.

Workflow Explanation

Triggering the Workflow: The workflow is triggered whenever changes are pushed to the repository, specifically when Markdown files are added or updated.
```
on:
  push:
    paths:
      - '**/*.md'
```
Job Setup: The workflow consists of a single job named "translate" that runs on an Ubuntu environment.
```
jobs:
  translate:
    runs-on: ubuntu-latest
```
Checkout Code: The code from the repository is checked out for the workflow to operate on.
```
steps:
  - name: Checkout code
    uses: actions/checkout@v2
```

Set up Python and Dependencies: Python is set up, and the required dependencies, including the openai library, are installed.

  - name: Set up Python
    uses: actions/setup-python@v2
    with:
      python-version: 3.x

  - name: Install dependencies
    run: |
      python -m pip install --upgrade pip
      pip install openai

Create "translate" Folder: The workflow creates a "translate" folder if it doesn't exist.
```
  - name: Create translate folder
    run: mkdir -p translate
```

Translate and Save Files: The workflow iterates through all Markdown files, translates them using the OpenAI API, and saves the translations in the "translate" folder.

  - name: Translate and save files
    run: |
      for file in $(find . -name "*.md"); do
        filename=$(basename -- "$file")
        target_lang="es" # Replace with your desired target language code
        translated_filename="translate/${filename%.*}_${target_lang}.md"
        openai api translate -i "$file" -o "$translated_filename" --target-language "$target_lang"
      done

Commit and Push Translations: The workflow configures a temporary user for committing and pushing the translated files back to the repository.

  - name: Commit and push translations
    run: |
      git config --global user.name "GitHub Actions"
      git config --global user.email "actions@github.com"
      git add translate
      git commit -m "Add translated files"
      git push

Possible Issues

API Key: Ensure that you have an OpenAI API key properly configured in your repository secrets or settings. Without a valid API key, the translation won't work.
Target Language: Make sure you set the correct target language code (e.g., "es" for Spanish) in the workflow. Using an unsupported language code might result in errors or incorrect translations.
API Usage and Costs: Be mindful of the OpenAI API usage and potential costs associated with translation, especially if processing a large number of files. Keep an eye on your usage to prevent unexpected charges.

Setting up the Workflow

Copy the provided workflow code into a .github/workflows/translate.yml file in your repository.
Make sure you have the OpenAI Python library (openai) installed in your project. If not, you can install it using the pip install openai command.
Replace "es" with the desired target language code in the workflow code.
Configure your OpenAI API key in your repository's secrets or settings as OPENAI_API_KEY.
Push the changes to your repository.

With these steps, the workflow will be set up to automatically translate Markdown files and save the translations in the "translate" folder whenever you push changes to your repository.

Some question answers

Is ChatGPT A Good Translator?

How should the .yml file be named?

The .yml file that contains your GitHub Actions workflow should be named according to a specific convention in order to be recognized and executed by GitHub Actions. The convention is as follows:

<workflow-name>.yml

Here, <workflow-name> is the name you give to your workflow. For example, if you want to name your workflow "Translate Markdown Files," your .yml file should be named something like:

translate-markdown-files.yml

Make sure to follow this naming convention to ensure that GitHub Actions recognizes and executes your workflow properly. Additionally, place the .yml file inside a directory named .github/workflows at the root of your repository. This is where GitHub expects workflow files to be stored.

Your directory structure would look something like this:

your-repo/
├── .github/
│   └── workflows/
│       └── translate-markdown-files.yml
├── file1.md
├── file2.md
└── ...

This way, when you push changes to your repository, GitHub Actions will automatically detect and run the workflow specified in the .yml file within the .github/workflows directory.

How you can obtain an API key:

Sign Up for OpenAI: If you haven't already, sign up for an OpenAI account on the OpenAI website.
Subscribe to a Plan: Choose a subscription plan that includes access to the OpenAI API. Different plans may have varying levels of access, usage, and associated costs.
Access API Key: Once you're subscribed, you'll be able to access your API key. OpenAI typically provides you with an API key that you can use to authenticate your API requests.
Keep Your API Key Secure: API keys are sensitive information. Keep your API key secure and avoid sharing it publicly. In GitHub, you can store your API key as a secret in your repository settings. This prevents others from accessing your key directly from the repository.

Here's how you can set up your API key as a secret in your GitHub repository:

Go to your GitHub repository.
Click on "Settings."
In the left sidebar, click on "Secrets."
Click on "New repository secret."
Name the secret OPENAI_API_KEY and paste your actual API key value.
Click "Add secret" to save the secret.

see7e/TranslateGPT