Update pyproject.toml
Browse files- pyproject.toml +5 -36
pyproject.toml
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[build-system]
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requires = [
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"hatchling",
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"hatch-requirements-txt",
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"hatch-fancy-pypi-readme>=22.5.0",
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]
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build-backend = "hatchling.build"
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[project]
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name = "gradio_labanmovementanalysis"
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version = "0.0.
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description = "A Gradio 5 component for video movement analysis using Laban Movement Analysis (LMA) with MCP support for AI agents"
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readme = "README.md"
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license = "apache-2.0"
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requires-python = ">=3.
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authors = [{ name = "Csaba Boly贸s", email = "bladeszasza@gmail.com" }]
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keywords = ["gradio-custom-component", "gradio-5", "laban-movement-analysis", "LMA", "pose-estimation", "movement-analysis", "mcp", "ai-agents", "webrtc"]
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# Core dependencies
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dependencies = [
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"gradio>=5.
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"
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"numpy>=1.24.0",
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"mediapipe>=0.10.21",
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"tensorflow>=2.13.0",
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"ultralytics>=8.0.0",
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"torch>=2.0.0",
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"torchvision>=0.15.0"
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]
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classifiers = [
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'Development Status :: 4 - Beta',
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'Operating System :: OS Independent',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3 :: Only',
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'Programming Language :: Python :: 3.10',
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'Programming Language :: Python :: 3.11',
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'Programming Language :: Python :: 3.12',
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'Topic :: Scientific/Engineering',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Scientific/Engineering :: Visualization',
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]
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# The repository and space URLs are optional, but recommended.
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# Adding a repository URL will create a badge in the auto-generated README that links to the repository.
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# Adding a space URL will create a badge in the auto-generated README that links to the space.
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# This will make it easy for people to find your deployed demo or source code when they
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# encounter your project in the wild.
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# [project.urls]
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# repository = "your github repository"
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# space = "your space url"
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[project.optional-dependencies]
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dev = ["build", "twine"]
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mcp = ["mcp>=1.0.0", "aiofiles>=23.0.0", "httpx>=0.24.0"]
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agent = ["gradio-client>=1.0.0"]
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all = ["gradio_labanmovementanalysis[mcp,agent]"]
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[tool.hatch.build]
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artifacts = ["/backend/gradio_labanmovementanalysis/templates", "*.pyi"]
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[project]
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name = "gradio_labanmovementanalysis"
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version = "0.0.3"
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description = "A Gradio 5 component for video movement analysis using Laban Movement Analysis (LMA) with MCP support for AI agents"
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readme = "README.md"
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license = "apache-2.0"
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requires-python = ">=3.12"
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authors = [{ name = "Csaba Boly贸s", email = "bladeszasza@gmail.com" }]
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keywords = ["gradio-custom-component", "gradio-5", "laban-movement-analysis", "LMA", "pose-estimation", "movement-analysis", "mcp", "ai-agents", "webrtc"]
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# Core dependencies
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requires-python = ">=3.12"
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dependencies = [
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"gradio[mcp]>=5.32.1",
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"mcp>=1.9.0"
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]
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classifiers = [
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'Development Status :: 4 - Beta',
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'Operating System :: OS Independent',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3 :: Only',
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'Programming Language :: Python :: 3.12',
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'Topic :: Scientific/Engineering',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Scientific/Engineering :: Visualization',
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]
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[tool.hatch.build]
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artifacts = ["/backend/gradio_labanmovementanalysis/templates", "*.pyi"]
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