• Stars
    star
    723
  • Rank 62,657 (Top 2 %)
  • Language
    Python
  • License
    MIT License
  • Created over 11 years ago
  • Updated 7 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Online translation as a Python module & command line tool. No key, no authentication needed.

Translate Tool in Python

PyPI latest PyPI Version PyPI License Docs Travis Build Status

Translate is a simple but powerful translation tool written in python with with support for multiple translation providers. By now we offer integration with Microsoft Translation API, Translated MyMemory API, LibreTranslate, and DeepL's free and pro APIs

Why Should I Use This?

The biggest reason to use translate is to make translations in a simple way without the need of bigger effort and can be used as a translation tool like command line

Installation

$ pip install translate

Or, you can download the source and

$ python setup.py install

Prefix 'sudo' if you encounter a problem.

Features

  • Translate your output in real time
  • Do translation in your terminal using the command line

Usage

In your command-line:

$ translate-cli -t zh "This is a pen."

Translation: 这是一支笔
-------------------------
Translated by: MyMemory

Or

$ translate-cli -t zh "This is a pen." -o
这是一支笔

Options

$ translate-cli --help
Usage: __main__.py [OPTIONS] TEXT...

  Python command line tool to make online translations

  Example:

       $ translate-cli -t zh the book is on the table
       碗是在桌子上。

  Available languages:

       https://en.wikipedia.org/wiki/ISO_639-1
       Examples: (e.g. en, ja, ko, pt, zh, zh-TW, ...)

Options:
  --version                 Show the version and exit.
  --generate-config-file    Generate the config file using a Wizard and exit.
  -f, --from TEXT           Sets the language of the text being translated.
                            The default value is 'autodetect'.
  -t, --to TEXT             Set the language you want to translate.
  -p, --provider TEXT       Set the provider you want to use. The default
                            value is 'mymemory'.
  --secret_access_key TEXT  Set the secret access key used to get provider
                            oAuth token.
  -o, --output_only         Set to display the translation only.
  --help                    Show this message and exit.

Change Default Languages

In ~/.python-translate.cfg:

[DEFAULT]
from_lang = autodetect
to_lang = de
provider = mymemory
secret_access_key =

The cfg is not for use as a Python module.

or run the command line and follow the steps:

$ translate-cli --generate-config-file
Translate from [autodetect]:
Translate to: <language you want to translate>
Provider [mymemory]:
Secret Access Key []:

Use As A Python Module

In [1]: from translate import Translator
In [2]: translator = Translator(to_lang="zh")
In [3]: translation = translator.translate("This is a pen.")
Out [3]: 这是一支笔

The result is usually a unicode string.

Use a different translation provider

In [1]: from translate import Translator
In [2]: to_lang = 'zh'
In [3]: secret = '<your secret from Microsoft or DeepL>'
In [4]: translator = Translator(provider='<the name of the provider, eg. microsoft or deepl>', to_lang=to_lang, secret_access_key=secret)
In [5]: translator.translate('the book is on the table')
Out [5]: '碗是在桌子上。'

The DeepL Provider

To use DeepL's pro API, pass an additional parameter named pro to the Translator object and set it to True and use your pro authentication key as the secret_access_key

In: translator = Translator(provider='microsoft', to_lang=to_lang, secret_access_key=secret, pro=True)

Documentation

Check out the latest translate documentation at Read the Docs

Contributing

Please send pull requests, very much appreciated.

  1. Fork the repository on GitHub.
  2. Make a branch off of master and commit your changes to it.

3. (Optional) if you want an isolated environment, you can install nixOS (https://nixos.org) and run nix-shell --pure under the project folder 3. Install requirements. pip install -r requirements-dev.txt 4. Install pre-commit. pre-commit install 5. Run the tests with py.test -vv -s 6. Create a Pull Request with your contribution.