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        "author": "Chris Gregory",
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            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS :: MacOS X",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development"
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        "description": "# SemiGenre\n\nThe SemiGenre library provides a Python interface for tagging and comparing music in a personal audio library. The purpose of SemiGenre is primarily to discover structure in musical preferences through [semi-supervised](https://en.wikipedia.org/wiki/Semi-supervised_learning) machine learning. Genres are not always the best way to talk about musical taste and SemiGenre aims to personalize the process of music recommendation by digging into the details of the music you care about most.\n\n[![CircleCI](https://circleci.com/gh/gregorybchris/semigenre/tree/master.svg?style=svg)](https://circleci.com/gh/gregorybchris/semigenre/tree/master)\n\n## Installation\n\nInstall the current PyPI release:\n\n```python\npip install semigenre\n```\n\nOr install from source:\n\n```python\npip install git+https://github.com/gregorybchris/semigenre\n```\n\n\n## Dependencies\n\nTo enable full use of the `semigenre.audio` module, install [VLC Media Player](https://download.cnet.com/VLC-Media-Player/3000-13632_4-10210434.html). The rest of the SemiGenre package will still work if you do not intend to listen to music through the SemiGenre media player.\n\n## Usage\n\nIn order to seed the SemiGenre package with personalized information, run the rating CLI and follow the prompts.\n\n```python\nfrom semigenre.audio.library import Library\nfrom semigenre.rating.cli import RatingCLI\n\nlibrary = Library('path/to/library.xml')\nRatingCLI(library).run()\n```\n\nThis package is currently in beta and interfaces are subject to change.\n\n",
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