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pyproject.toml
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70 lines (63 loc) · 1.98 KB
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# pyproject.toml for Fish-Speech-Lib
# Copyright 2025 Atm4x (Apache License 2.0)
# Based on original pyproject.toml from Fish-Speech (Copyright 2025 Fish Audio Authors)
# See LICENSE file for details.
[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "fish_speech_lib"
version = "0.1.0.1"
description = "Fish Speech pipeline as library so you don't need to webui."
authors = [
{name = "Atm4x", email = "bloodyseiko@gmail.com"},
]
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.8"
keywords = ["tts", "text-to-speech", "voice-cloning", "llama", "speech-synthesis", "fish-speech", "Atm4x", "fish audio"]
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
]
dependencies = [
"numpy<=1.26.4",
"natsort>=8.4.0",
"transformers>=4.45.2",
"datasets==2.18.0",
"lightning>=2.1.0",
"hydra-core>=1.3.2",
"tensorboard>=2.14.1",
"einops>=0.7.0",
"librosa>=0.9.1",
"rich>=13.5.3",
"wandb>=0.15.11",
"grpcio>=1.58.0",
"kui>=1.6.0",
"uvicorn>=0.30.0",
"loguru>=0.6.0",
"pyrootutils>=1.0.4",
"resampy>=0.4.3",
"zstandard>=0.22.0",
"pydub",
"pyaudio",
"faster-whisper",
"ormsgpack",
"tiktoken>=0.8.0",
"pydantic==2.9.2",
"cachetools",
"huggingface-hub",
"loralib",
"vector_quantize_pytorch==1.14.24",
]
[project.urls]
"Homepage" = "https://github.com/Atm4x/Fish-speech-pipeline"
"Repository" = "https://github.com/Atm4x/Fish-speech-pipeline"
"Bug Tracker" = "https://github.com/Atm4x/Fish-speech-pipeline/issues"
"Original Project" = "https://github.com/fishaudio/fish-speech"
[project.scripts]
fish_speech_inference = "fish_speech_pipe.inference:main"
[tool.setuptools.packages.find]
where = ["."] # Искать пакеты в текущей директории
include = ["fish_speech_lib*"] # Include your package(s)