Witty-Kitty/deepspeech-rest-api-kiswahili

This REST API is built on top of Mozilla's DeepSpeech. It is written based on examples provided by Mozilla. It accepts HTTP methods such as GET and POST as well as WebSocket. To perform transcription using HTTP methods is appropriate for relatively short audio files while the WebSocket can be used even for longer audio recordings. DeepSpeech REST API - KISWAHILI =================== .. start-badges .. list-table:: :widths: 15 85 :stub-columns: 1 * - Build - | |Open| |Coverage| * - Docs - | |Documentation| * - Package - | |PyPI version| .. |Documentation| image:: img.shields.io :target: sanicframework.org .. |PyPI version| image:: img.shields.io :target: img.shields.io .. |Open| image:: badges.frapsoft.com)](github.com :target: badges.frapsoft.com)](github.com .. |Coverage| image:: codecov.io :target: codecov.io .. end-badges This REST API is built on top of Mozilla's `DeepSpeech`_. It is written based on `examples`_ provided by Mozilla. It accepts HTTP methods such as GET and POST as well as WebSocket. To perform transcription using HTTP methods is appropriate for relatively short audio files while the WebSocket can be used even for longer audio recordings. .. _DeepSpeech: github.com .. _examples: github.com Getting started ~~~~~~~~~~~~~~~ Below instructions are for Unix/OS X, they will have to be changed to be able to run the code on Windows. 1. Clone the repository to your local machine and change directory to ``deepspeech-rest-api`` .. code-block:: console $ git clone github.com $ cd deepspeech-rest-api 2. Create a virtual environment and activate it (assuming that it is installed your machine) and install the project in editable mode (locally). .. code-block:: console $ python -m venv venv $ source venv/bin/activate $ python -m pip in …