![]() The full path to this file is YOUR_PROJECT/src/i18n/en.json. ![]() Inside the src directory, let’s add an i18n folder with an en.json file. We will use these packages throughout the tutorial, therefore install it by running: pipenv installĪlso, create an empty. Next, create a new folder for your project and add a Pipenv file in it: ] Let’s install Pipenv: pip install -user pipenv I’ll be using Pipenv to manage dependencies and create a virtual environment, but of course you can take advantage of another solution. Now I would like to see these Python translation libraries in action, but first things first: we need to prepare a sample project. Has unresolved issues and does not seem to be actively maintained.Does not allow text language detection.Supports multiple engines, including Google, Microsoft, and DeepL.It is available both as a Python module and as a command-line tool.Translate is a simple command-line tool and a Python module that enables you to perform translations using Google MT and other engines. Certain additional data no longer seems to be available.The latest stable release has unresolved issues and you’ll have to install release candidate instead.The biggest problem is that this package no longer appears to be actively maintained.The returned data contains extra information like translation confidence score or potential mistakes.It has a text language detection feature.No configuration or authentication needed you can start using the library right away.While it’s still a feasible solution, it does have certain issues. Googletrans is the library that, as the name suggests, enables you to easily translate any text using Google Translate. The package’s community seems to have become less active.Language detection is only possible with a private API key.Allows performance of translations directly from a text file (unfortunately, it has to be in. ![]()
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