Extensions

Extend the functionality of hyped by installing extensions, which provide additional features and capabilities to the framework. Extensions are available as separate packages that can be installed via pip and then imported as sub-packages within your code.

Installing Extensions

You can install hyped extensions using pip:

pip install hyped-extensions-nlp

Once installed, you can import add-ons as sub-packages within your code:

import hyped.extensions.nlp

Available Extensions

Here is a list of available extensions. Please note that extensions are developed by the community as well, more may be added in the future:

• hyped-extensions-nlp: This extension provides Natural Language Processing (NLP) tools and features for the hyped framework. It includes utilities for text preprocessing, tokenization and other NLP tasks, helping users to easily integrate NLP functionality into their workflows.

• hyped-extensions-parsers: This extension offers parsers for various data formats, enabling users to easily parse different input types (e.g., JSON, CSV, etc.) within the hyped framework.

Implementing an Extension

To implement a custom extension, please refer to the Coockiecutter project for a template and guidelines on creating your own extension.