{ "info": { "author": "Your Name", "author_email": "you@example.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11" ], "description": "
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\n What is it? \u2022\n Features \u2022\n Installation \u2022\n Usage \u2022\n Contributing\n
\n\n## What is it?\n`kgforge` is a library which automates the generation of knowledge graphs from scholarly text.\n\n## Features:\n - **TODO**: TODO: Description.\n\n## Installation:\n\n### Poetry\n\n```bash\npoetry add kgforge\n```\n\n### Pip\n\n```bash\npip install kgforge\n```\n\nSetup your local environment:\n\nAny necessary environment variables description:\n\n\n```shell\nexport SAMPLE_ENV_VARIABLE=${VALUE}\n```\n\n## Usage\n\nNow that `kgforge` is installed, you're ready to start using it!\n\nIt's time to point you to the official [Documentation Website](https://akhilpandey95.github.io/gnnNAS/) for more information on how to use `kgforge`\n\n\n## Contributing\nIf you'd like to contribute, be sure to check out our [contributing guide](./CONTRIBUTING.md)! If you'd like to work on any outstanding items, check out the `roadmap` section in the docs and get started :smiley:\n\nThanks goes to these incredible people.\n\n\n