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{
lib,
buildPythonPackage,
fetchFromGitHub,
hatchling,
coqpit,
fsspec,
torch,
tensorboard,
protobuf,
psutil,
pytestCheckHook,
soundfile,
torchvision,
}:
let
pname = "coqui-tts-trainer";
version = "0.3.2";
in
buildPythonPackage {
inherit pname version;
pyproject = true;
src = fetchFromGitHub {
owner = "idiap";
repo = "coqui-ai-Trainer";
tag = "v${version}";
hash = "sha256-lZmRniy8M3vsh0gCip9Eg0CwgDwcZnY1quy1VwU0O5I=";
};
nativeBuildInputs = [
hatchling
];
propagatedBuildInputs = [
coqpit
fsspec
protobuf
psutil
soundfile
tensorboard
torch
];
# only one test and that requires training data from the internet
doCheck = false;
nativeCheckInputs = [
pytestCheckHook
torchvision
];
pythonImportsCheck = [ "trainer" ];
meta = {
description = "General purpose model trainer, as flexible as it gets";
homepage = "https://github.com/idiap/coqui-ai-Trainer";
changelog = "https://github.com/idiap/coqui-ai-Trainer/releases/tag/v${version}";
license = lib.licenses.asl20;
teams = [ lib.teams.tts ];
};
}
|
