File size: 1,775 Bytes
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requires = ["setuptools >= 61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"
[project]
name = "f5-tts"
version = "1.1.9"
description = "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
readme = "README.md"
license = {text = "MIT License"}
classifiers = [
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
]
requires-python = ">=3.9,<3.12"
dependencies = [
"accelerate>=0.33.0",
"bitsandbytes>0.37.0; platform_machine!='arm64' and platform_system!='Darwin'",
"cached_path",
"click",
"datasets",
"ema-pytorch==0.7.9",
"gradio>=5.0.0",
"hydra-core>=1.3.0",
"jiwer",
"jieba",
"zhon",
"pytorch-wpe==0.0.1",
"torch-complex==0.4.4",
"torchcodec==0.9.1",
"librosa",
"matplotlib",
"numpy<=1.26.4; python_version<='3.10'",
"pydantic<=2.10.6",
"pydub",
"pypinyin",
"safetensors",
"soundfile",
"tomli",
"torch==2.6.0",
"torchaudio==2.6.0",
"torchdiffeq==0.2.5",
"torchelastic==0.2.2",
"torchvision==0.21.0",
"tqdm>=4.65.0",
"transformers",
"transformers_stream_generator",
"unidecode",
"vocos",
"wandb",
"x_transformers>=1.31.14",
]
[project.optional-dependencies]
eval = [
"faster_whisper==1.2.1",
"funasr",
"jiwer",
"modelscope",
"s3prl",
"zhconv",
"zhon",
]
[project.urls]
Homepage = "https://github.com/SWivid/F5-TTS"
[project.scripts]
"f5-tts_infer-cli" = "f5_tts.infer.infer_cli:main"
"f5-tts_infer-gradio" = "f5_tts.infer.infer_gradio:main"
"f5-tts_finetune-cli" = "f5_tts.train.finetune_cli:main"
"f5-tts_finetune-gradio" = "f5_tts.train.finetune_gradio:main"
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