Suggestion: Dockerfile with uv.

[JonghoKim-Harry]

I couldn't build docker image using your Dockerfile.
So I decided to fix it and suggest using uv.

I suggest use of uv in Dockerfile, because:

• uv can handle Python version. (pip, poetry can not.). This project's dependencies requires different Python versions and you are using Python 3.9.
• uv obeys PEP621, standard of pyproject.toml (poetry does not).

You can test with:

docker build . -t coqui
mkdir output
docker run -it -v ./output:/app/output coqui --text "Text for TTS" --out_path output/speech.wav

[CLAassistant]

All committers have signed the CLA.

[eginhard]

This repo is not maintained anymore. You can try our fork instead (also available with pip install coqui-tts). I've already switched the build there over to pyproject.toml and uv and also simplified the dependencies a lot. PRs are welcome there if you still encounter any issues.