Code Monkey home page Code Monkey logo

argos-translate's Introduction

Argos Translate

Docs | Website

Open source offline translation app written in Python. Uses OpenNMT for translations, SentencePiece for tokenization, Stanza for sentence boundary detection, and PyQt for GUI. Designed to be used either as a GUI application or as a Python library.

Argos Translate supports installing model files which are a zip archive with an ".argosmodel" extension that contains an OpenNMT CTranslate model, a SentencePiece tokenization model, a Stanza tokenizer model for sentence boundary detection, and metadata about the model. Pretrained models can be downloaded here. To install a model click "Manage packages" from the toolbar in the GUI and select your model file. By default models are stored in ~/.argos-translate, this can be changed in settings.py or by setting the value of the $ARGOS_TRANSLATE_PACKAGES_DIR environment variable. When running from a snap package models can be pre-packaged with the snap package or installed after installation to $SNAP_USER_DATA.

Argos Translate also manages automatically pivoting through intermediate languages to translate between languages that don't have a direct translation between them installed. For example, if you have a es -> en and en -> fr translation installed you are able to translate from es -> fr as if you had that translation installed. This allows for translating between a wide variety of languages at the cost of some loss of translation quality.

Argos Translate Banner

Models

Models available for download here, and are being trained using this training script. Models are also available for torrent download in the /p2p directory.

Currently, there are models available to translate between:

  • Arabic
  • Chinese
  • English
  • French
  • German
  • Italian
  • Portuguese
  • Russian
  • Spanish

Examples

GUI

Screenshot Screenshot2

Python

>>> from argostranslate import package, translate
>>> package.install_from_path('en_es.argosmodel')
>>> installed_languages = translate.load_installed_languages()
>>> [str(lang) for lang in installed_languages]
['English', 'Spanish']
>>> translation_en_es = installed_languages[0].get_translation(installed_languages[1])
>>> translation_en_es.translate("Hello World!")
'¡Hola Mundo!'

Command Line (Beta)

$ argos-translate-cli --from-lang en --to-lang es "Hello World"
Hola Mundo

Web App Screenshot

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());

{
    "translatedText": "¡Hola!"
}

Installation

Install from PyPI

Argos Translate is available from PyPI and can be installed with pip.

python3 -m pip install --upgrade pip
python3 -m pip install argostranslate

Installation for Windows

CTranslate, the inference engine for Argos Translate, currently only distributes binaries for Linux and MacOS so to install Argos Translate on Windows you will need to build CTranslate from source.

Install from Snap Store

Argos Translate is available from the Snap Store and auto installs a content snap to support translation between Arabic, Chinese, English, French, Russian, and Spanish. Additional languages can be installed from supplementary content snaps.

With snapd installed:

sudo snap install argos-translate

Get it from the Snap Store

Currently content snaps other than argos-translate-base-langs need to be manually connected but this hopefully won't be necessary in the future:

sudo snap connect argos-translate:argos-packages argos-translate-en-it:argos-packages

Python source installation

Dependencies

Requires Python3, pip (which should come with Python3), and optionally virtualenv to keep Argos Translate's dependencies separate from other Python programs you have installed.

Python Installation Instructions

On Ubuntu:

sudo apt-get update
sudo apt-get install -y python3

Install

  1. Download a copy of this repo (this requires either installing git or downloading a zip from GitHub):
git clone https://github.com/argosopentech/argos-translate.git
cd argos-translate
  1. Make a virtual environment to install into (optional):
python3 -m pip install --upgrade virtualenv # If virtualenv not already installed
virtualenv env
source env/bin/activate
  1. Install this package with pip:
python3 -m pip install --upgrade pip
python3 -m pip install .

Build and install snap package

  1. Install snapd if it isn't already installed.
  2. Using snapd install snapcraft and its dependency multipass:
sudo snap install multipass
sudo snap install snapcraft
  1. Clone this repo:
git clone https://github.com/argosopentech/argos-translate.git
cd argos-translate
  1. From the root directory of this project build the snap package:
SNAPCRAFT_BUILD_ENVIRONMENT_MEMORY=4G snapcraft

Any unzipped package files in package/ will be automatically included in the snap archive (and won't be able to be deleted by users of the snap).

Note, the build won't run with Snapcraft's default build memory of 2GB so you need to set the SNAPCRAFT_BUILD_ENVIRONMENT environment variable. More on Snapcraft forum.

  1. Install the snap package:
sudo snap install --devmode argos-translate_<version information>.snap

Run Argos Translate!

argos-translate

When installing with snap a .desktop file should also be installed which will make Argos Translate available from the desktop menu.

Contributing

Contributions are welcome!

Donations

If you find this software useful donations are appreciated.

License

Dual licensed under either the MIT License or CC0.

argos-translate's People

Contributors

andrewkdinh avatar argosopentech avatar ederin avatar jonmagon avatar mikemoritz avatar pj-finlay avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.