Kokoro-FastAPI/pyproject.toml at master · remsky/Kokoro-FastAPI · GitHub

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[project]
name = "kokoro-fastapi"
version = "0.4.0"
description = "FastAPI TTS Service"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
    # Core dependencies
    "fastapi==0.115.6",
    "uvicorn==0.34.0",
    "click>=8.0.0",
    "pydantic==2.10.4",
    "pydantic-settings==2.7.0",
    "python-dotenv==1.0.1",
    "sqlalchemy==2.0.27",
    # ML/DL Base
    "numpy>=1.26.0",
    "scipy==1.14.1",
    # Audio processing
    "soundfile==0.13.0",
    "regex==2024.11.6",
    # Utilities
    "aiofiles==23.2.1",
    "tqdm==4.67.1",
    "requests==2.32.3",
    "munch==4.0.0",
    "tiktoken==0.8.0",
    "loguru==0.7.3",
    "openai>=1.59.6",
    "pydub>=0.25.1",
    "matplotlib>=3.10.0",
    "mutagen>=1.47.0",
    "psutil>=6.1.1",
    "espeakng-loader==0.2.4",
    "kokoro==0.9.4",
    "misaki[en,ja,ko,zh]==0.9.4",
    "spacy==3.8.5",
    "en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl",
    "inflect>=7.5.0",
    "phonemizer-fork>=3.3.2",
    "av>=14.2.0",
    "text2num>=2.5.1",
]

[project.optional-dependencies]
gpu = [
    "torch==2.8.0+cu126 ; platform_machine == 'x86_64'",
    "torch==2.8.0+cu129 ; platform_machine == 'aarch64'",
]
# Blackwell / RTX 50-series variant. cu128 wheels carry sm_120 kernels but
# drop Maxwell/Pascal, so this is a separate extra rather than the default.
# See #443. aarch64 already ships cu129 (Blackwell-capable) under both extras.
gpu-cu128 = [
    "torch==2.8.0+cu128 ; platform_machine == 'x86_64'",
    "torch==2.8.0+cu129 ; platform_machine == 'aarch64'",
]
cpu = ["torch==2.8.0"]
rocm = [
    "torch==2.8.0+rocm6.4",
    "pytorch-triton-rocm>=3.2.0",
]
test = [
    "pytest==8.3.5",
    "pytest-cov==6.0.0",
    "httpx==0.26.0",
    "pytest-asyncio==0.25.3",
    "tomli>=2.0.1",
    "jinja2>=3.1.6",
]
# Integration test deps (faster-whisper, jiwer, soundfile, etc.) intentionally
# live in the tts-api-test-client image, not here. Run via:
#   docker compose -f docker/docker-compose.test.yml up --build \
#       --abort-on-container-exit --exit-code-from test-client

[tool.uv]
conflicts = [
    [
        { extra = "cpu" },
        { extra = "gpu" },
        { extra = "gpu-cu128" },
        { extra = "rocm" },
    ],
]
override-dependencies = [
    "triton>=3.5.1 ; platform_machine == 'aarch64'"
]

[tool.uv.sources]
torch = [
    { index = "pytorch-cpu", extra = "cpu" },
    { index = "pytorch-cu126", extra = "gpu", marker = "platform_machine == 'x86_64'" },
    { index = "pytorch-cu129", extra = "gpu", marker = "platform_machine == 'aarch64'" },
    { index = "pytorch-cu128", extra = "gpu-cu128", marker = "platform_machine == 'x86_64'" },
    { index = "pytorch-cu129", extra = "gpu-cu128", marker = "platform_machine == 'aarch64'" },
    { index = "pytorch-rocm", extra = "rocm" },
]
pytorch-triton-rocm = [
    { index = "pytorch-rocm", extra = "rocm" },
]

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[[tool.uv.index]]
name = "pytorch-cu126"
url = "https://download.pytorch.org/whl/cu126"
explicit = true

[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true

[[tool.uv.index]]
name = "pytorch-cu129"
url = "https://download.pytorch.org/whl/cu129"
explicit = true

[[tool.uv.index]]
name = "pytorch-rocm"
url = "https://download.pytorch.org/whl/rocm6.4"
explicit = true

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
package-dir = { "" = "api/src" }
packages.find = { where = ["api/src"], namespaces = true }

[tool.pytest.ini_options]
testpaths = ["api/tests", "ui/tests"]
python_files = ["test_*.py"]
addopts = "--cov=api --cov=ui --cov-report=term-missing --cov-config=.coveragerc --full-trace"
asyncio_mode = "auto"