google-cloud-translate 1.5.0

Google Cloud Translation API client library

With Google Cloud Translation, you can dynamically translate text between thousands of language pairs. The Google Cloud Translation API lets websites and programs integrate with Google Cloud Translation programmatically. Google Cloud Translation is available as a paid service. See the Pricing and FAQ pages for details.

• Client Library Documentation

• Product Documentation

Quick Start

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Google Cloud Translate API.

4. Setup Authentication.

Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Supported Python Versions

Python >= 3.5

Deprecated Python Versions

Python == 2.7. Python 2.7 support will be removed on January 1, 2020.

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-translate

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-translate

Example Usage

>>> from google.cloud import translate
>>> client = translate.Client()
>>> client.get_languages()
[
    {
        'language': 'af',
        'name': 'Afrikaans',
    },
     ...
]
>>> client.detect_language(['Me llamo', 'I am'])
[
    {
        'confidence': 0.25830904,
        'input': 'Me llamo',
        'language': 'es',
    }, {
        'confidence': 0.17112699,
        'input': 'I am',
        'language': 'en',
    },
]
>>> from google.cloud import translate
>>> client = translate.Client()
>>> client.translate('koszula')
{
    'translatedText': 'shirt',
    'detectedSourceLanguage': 'pl',
    'input': 'koszula',
}