pyproject.toml

[build-system]
requires = [
  "hatchling",
  "hatch-requirements-txt",
  "hatch-fancy-pypi-readme>=22.5.0",
]
build-backend = "hatchling.build"

[project]
name = "gradio_imageslider"
version = "0.0.20"

description = """
A Gradio component for comparing two images.

This component can be used in several ways:

- as a **unified input / output** where users will upload a single image and an inference function will generate an image it can be compared to (see demo),
- as a **manual upload input** allowing users to compare two of their own images (which can then be passed along elsewhere, e.g. to a model), 
- as **static output component** allowing users to compare two images generated by an inference function.
"""

readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.9"
authors = [{ name = "pngwn", email = "hello@pngwn.io" }]
keywords = [
  "machine learning",
  "reproducibility",
  "visualization",
  "gradio",
  "gradio custom component",
]
# Add dependencies here
dependencies = ["gradio", "pillow"]
classifiers = [
  'Development Status :: 3 - Alpha',
  'License :: OSI Approved :: Apache Software License',
  'Operating System :: OS Independent',
  'Programming Language :: Python :: 3',
  'Programming Language :: Python :: 3 :: Only',
  'Programming Language :: Python :: 3.8',
  'Programming Language :: Python :: 3.9',
  'Programming Language :: Python :: 3.10',
  'Programming Language :: Python :: 3.11',
  'Topic :: Scientific/Engineering',
  'Topic :: Scientific/Engineering :: Artificial Intelligence',
  'Topic :: Scientific/Engineering :: Visualization',
]

[project.urls]
repository = "https://github.com/pngwn/gradio-imageslider"

[tool.hatch.build]
artifacts = [
  "backend/gradio_imageslider/boo",
  "*.pyi",
  "backend/gradio_imageslider/templates",
  "backend/gradio_imageslider/templates",
  "backend/gradio_imageslider/templates",
]

[tool.hatch.build.targets.wheel]
packages = ["backend/gradio_imageslider"]

[tool.hatch.metadata]
allow-direct-references = true