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Coqui STT Model Manager - install, manage and try out Coqui STT models from the Model Zoo

Home Page: https://coqui.ai

License: Mozilla Public License 2.0

Python 23.74% HTML 6.06% Makefile 0.67% JavaScript 67.80% CSS 1.73%
python stt speech-recognition flask react websocket coqui-ai

stt-model-manager's Introduction

Coqui STT Model manager

Note

This project is no longer actively maintained, and we have stopped hosting the online Model Zoo. We've seen focus shift towards newer STT models such as Whisper, and have ourselves focused on Coqui TTS and Coqui Studio.

The models will remain available in the releases of the coqui-ai/STT-models repo.

🐸STT Model Manager is a tool for installing and trying out Coqui STT models from the Coqui Model Zoo.

Usage

Dependencies:

  • Python >= 3.7 (On Raspberry Pi, only Python 3.7 is supported)
$ pip install coqui_stt_model_manager
$ stt-model-manager

On Raspberry Pi:

$ pip install https://github.com/coqui-ai/STT/releases/download/v1.3.0/stt-1.3.0-cp37-cp37m-linux_armv7l.whl
$ pip install coqui_stt_model_manager
$ stt-model-manager

Build and install from source

Build dependencies:

  • Node.JS
  • Yarn
  • Python >=3.7
  • Up-to-date pip/setuptools/wheel packages
$ # Create and activate virtualenv:
$ python -m venv /tmp/venv
$ /tmp/venv/bin/activate
$ # Update Python packaging tools:
$ python -m pip install -U pip setuptools wheel
$ # Install package
$ make install

Development installation (editable, with pre-commit hooks)

See CONTRIBUTING.

Running in development mode (watching file changes and rebuilding automatically)

The following command will watch the React-based front-end files for changes and rebuild automatically:

$ yarn watch

Then, in a separate terminal window run the following to start the Python server in debug mode:

$ # Create and activate virtualenv:
$ python -m venv /tmp/venv
$ /tmp/venv/bin/activate
$ # Start server in debug mode with automatic server reloads:
$ stt-model-manager --debug

For now you have to reload the browser manually. We'd gladly welcome a PR adding auto-refresh functionality :)

Build Python package (sdist/wheel)

$ make package
$ ll dist/
$ pip install dist/*.whl

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