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88 lines (79 loc) · 1.83 KB
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[project]
name = "videogen-mcp"
version = "0.2.0"
description = "AI-powered short video generation MCP server"
readme = "README.md"
requires-python = ">=3.11"
license = "MIT"
authors = [{ name = "Sandra Schipal" }]
dependencies = [
"fastmcp>=3.2.0",
"fastapi>=0.115.0",
"uvicorn>=0.34.0",
"pydantic>=2.10.0",
"pydantic-settings>=2.7.0",
"httpx>=0.28.0",
"edge-tts>=7.0.0",
"loguru>=0.7.0",
"openai>=1.60.0",
"python-dotenv>=1.0.0",
"pyyaml>=6.0.0",
]
[project.optional-dependencies]
align = [
"faster-whisper>=1.1.0",
]
beats = [
"librosa>=0.10",
]
cogvideo = [
"torch>=2.4.0",
"diffusers>=0.30.0",
"transformers>=4.44.0",
"accelerate>=0.33.0",
"imageio[ffmpeg]>=2.34.0",
"sentencepiece>=0.2.0",
"ftfy>=6.2.0",
]
localgen = [
"torch>=2.4.0",
"diffusers>=0.32.0",
"transformers>=4.44.0",
"accelerate>=0.33.0",
"imageio[ffmpeg]>=2.34.0",
"sentencepiece>=0.2.0",
"ftfy>=6.2.0",
]
google = [
"google-genai>=1.20.0",
"google-cloud-aiplatform>=1.127.0",
]
dev = [
"pytest>=8.0",
"pytest-asyncio>=0.24.0",
"ruff>=0.8.0",
"pyright>=1.1.390",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/videogen_mcp"]
[tool.hatch.build.targets.wheel.force-include]
"templates/tropes" = "videogen_mcp/tropes"
"templates/credits" = "videogen_mcp/credits"
"templates/intros" = "videogen_mcp/intros"
[project.scripts]
localgen-server = "videogen_mcp.localgen_server.__main__:main"
cogvideo-server = "videogen_mcp.localgen_server.__main__:main"
[tool.ruff]
target-version = "py311"
line-length = 120
[tool.ruff.lint]
select = ["E", "F", "I", "W"]
[tool.pytest.ini_options]
testpaths = ["tests"]
asyncio_mode = "auto"
[tool.pyright]
pythonVersion = "3.11"
typeCheckingMode = "basic"