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package_data 'static/*' won`t include sub directories so offline mode would result in 404 for static resources under js, css, fonts |
||
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.github/workflows | ||
app | ||
tests | ||
.dockerignore | ||
.gitignore | ||
.gitmodules | ||
docker-compose.yml | ||
Dockerfile | ||
install_models.py | ||
LICENSE | ||
main.py | ||
manage.py | ||
README.md | ||
requirements.txt | ||
setup.py |
LibreTranslate
Free and Open Source Machine Translation API, entirely self-hosted. Unlike other APIs, it doesn't rely on proprietary providers such as Google or Azure to perform translations.
API Examples
Request:
const res = await fetch("https://libretranslate.com/translate", {
method: "POST",
body: JSON.stringify({
q: "Hello!",
source: "en",
target: "es"
}),
headers: { "Content-Type": "application/json" }
});
console.log(await res.json());
Response:
{
"translatedText": "¡Hola!"
}
Install and Run
You can run your own API server in just a few lines of setup!
Make sure you have installed Python (3.8 or higher is recommended), then simply issue:
pip install libretranslate
libretranslate [args]
Then open a web browser to http://localhost:5000
If you're on Windows, we recommend you Run with Docker instead.
Build and Run
If you want to make some changes to the code, you can build from source, and run the API:
git clone https://github.com/uav4geo/LibreTranslate
cd LibreTranslate
pip install -e .
libretranslate [args]
# Or
python main.py [args]
Then open a web browser to http://localhost:5000
Run with Docker
Simply run:
docker run -ti --rm -p 5000:5000 libretranslate/libretranslate
Then open a web browser to http://localhost:5000
Build with Docker
docker build -t libretranslate .
Run the built image:
docker run -it -p 5000:5000 libretranslate [args]
Or build and run using docker-compose
:
docker-compose up -d --build
Feel free to change the
docker-compose.yml
file to adapt it to your deployment needs, or use an extradocker-compose.prod.yml
file for your deployment configuration.
Arguments
Argument | Description | Default |
---|---|---|
--host | Set host to bind the server to | 127.0.0.1 |
--port | Set port to bind the server to | 5000 |
--char-limit | Set character limit | No limit |
--req-limit | Set maximum number of requests per minute per client | No limit |
--batch-limit | Set maximum number of texts to translate in a batch request | No limit |
--ga-id | Enable Google Analytics on the API client page by providing an ID | No tracking |
--debug | Enable debug environment | False |
--ssl | Whether to enable SSL | False |
--frontend-language-source | Set frontend default language - source | en |
--frontend-language-target | Set frontend default language - target | es |
--frontend-timeout | Set frontend translation timeout | 500 |
--offline | Run user-interface entirely offline (don't use internet CDNs) | false |
--api-keys | Enable API keys database for per-user rate limits lookup | Don't use API keys |
Manage API Keys
LibreTranslate supports per-user limit quotas, e.g. you can issue API keys to users so that they can enjoy higher requests limits per minute (if you also set --req-limit
). By default all users are rate-limited based on --req-limit
, but passing an optional api_key
parameter to the REST endpoints allows a user to enjoy higher request limits.
To use API keys simply start LibreTranslate with the --api-keys
option.
Add New Keys
To issue a new API key with 120 requests per minute limits:
ltmanage keys add 120
Remove Keys
ltmanage keys remove <api-key>
View Keys
ltmanage keys
Roadmap
Help us by opening a pull request!
- A docker image (thanks @vemonet !)
- Auto-detect input language (thanks @vemonet !)
- User authentication / tokens
- Language bindings for every computer language
FAQ
Can I use your API server at libretranslate.com for my application in production?
The API on libretranslate.com should be used for testing, personal or infrequent use. If you're going to run an application in production, please get in touch to get an API key or discuss other options.
Credits
This work is largely possible thanks to Argos Translate, which powers the translation engine.