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pyproject.toml
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[build-system]
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requires = ["setuptools >= 61.0", "setuptools-scm>=8.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "f5-tts"
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version = "1.1.1"
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description = "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
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readme = "README.md"
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license = {text = "MIT License"}
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classifiers = [
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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]
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dependencies = [
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"accelerate>=0.33.0",
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"bitsandbytes>0.37.0; platform_machine != 'arm64' and platform_system != 'Darwin'",
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"cached_path",
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"click",
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"datasets",
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"ema_pytorch>=0.5.2",
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"gradio>=3.45.2",
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"hydra-core>=1.3.0",
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"jieba",
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"librosa",
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"matplotlib",
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"numpy<=1.26.4",
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"pydantic<=2.10.6",
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"pydub",
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"pypinyin",
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"safetensors",
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"soundfile",
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"tomli",
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"torch>=2.0.0",
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"torchaudio>=2.0.0",
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"torchdiffeq",
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"tqdm>=4.65.0",
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"transformers",
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"transformers_stream_generator",
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"vocos",
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"wandb",
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"x_transformers>=1.31.14",
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]
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[project.optional-dependencies]
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eval = [
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"faster_whisper==0.10.1",
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"funasr",
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"jiwer",
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"modelscope",
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"zhconv",
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"zhon",
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]
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[project.urls]
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Homepage = "https://github.com/SWivid/F5-TTS"
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[project.scripts]
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"f5-tts_infer-cli" = "f5_tts.infer.infer_cli:main"
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"f5-tts_infer-gradio" = "f5_tts.infer.infer_gradio:main"
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"f5-tts_finetune-cli" = "f5_tts.train.finetune_cli:main"
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"f5-tts_finetune-gradio" = "f5_tts.train.finetune_gradio:main"
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