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depend on any external JS library and is navigable using\nstandard (whatever reasonable definition of \"standard\") keyboard shortcuts.\n\n## Usage\n\nJust run this command in the directory with photos:\n\n```\nUsage: chagall [OPTIONS]\n\nOptions:\n  -i, --input TEXT  (default .)\n  -o, --output TEXT  (default ./build)\n  -S, --image-size INTEGER\n  -T, --thumbnail-size INTEGER\n  -v, --verbose\n```\n\nIt finds all JPEG images in a current directory, then tries to read metadata about them\nand produces a gallery in output directory.\n\nExample galleries produced with chagallpy: \u003chttp://i.vzdusne.cz/\u003e\n\n## Installation\n\nEasiest way is to use \"pip\" and download the package from PyPI.\n\n```\npip install chagallpy\n```\n\nOr, you can visit the GitHub page of the project and work with the development version:\n\n\u003chttps://github.com/janpipek/chagallpy\u003e\n\n## Configuration\n\n### Gallery metadata\n\nMetadata are store in `gallery.yaml`. Currently available configuration options:\n\n* title\n\n### Image metadata\n\nAvailable EXIF data are read.\n\nFor each `image.jpg`, a file `image.yaml` is read with the following options:\n\n* title\n* place\n* date (dd/mm/YYYY)\n* author (additional (c) is displayed in the image toolbar)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjanpipek%2Fchagallpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjanpipek%2Fchagallpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjanpipek%2Fchagallpy/lists"}