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import os |
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from pathlib import Path |
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from setuptools import find_packages, setup |
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NAME = "spiritlm" |
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VERSION = "0.1.0" |
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DESCRIPTION = "Interleaved Spoken and Written Language Model" |
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URL = "https://github.com/facebookresearch/spiritlm" |
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KEYWORDS = [ |
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"Language Model, Speech Language Model, Multimodal, Crossmodal, Expressivity Modeling" |
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] |
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LICENSE = "FAIR Noncommercial Research License" |
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def _get_long_description(): |
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with (Path(__file__).parent / "README.md").open(encoding="utf-8") as file: |
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long_description = file.read() |
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return long_description |
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def _read_reqs(relpath): |
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fullpath = os.path.join(os.path.dirname(__file__), relpath) |
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with open(fullpath) as f: |
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return [ |
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s.strip() for s in f.readlines() if (s.strip() and not s.startswith("#")) |
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] |
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setup( |
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name=NAME, |
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version=VERSION, |
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description=DESCRIPTION, |
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long_description=_get_long_description(), |
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long_description_content_type="text/plain", |
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url=URL, |
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license=LICENSE, |
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author="Meta", |
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keywords=KEYWORDS, |
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classifiers=[ |
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"Intended Audience :: Science/Research", |
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"License :: FAIR Noncommercial Research License", |
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"Topic :: Multimedia :: Sound/Audio", |
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"Topic :: Scientific/Engineering :: Artificial Intelligence", |
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], |
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packages=find_packages(), |
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zip_safe=False, |
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python_requires=">=3.9", |
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install_requires=_read_reqs("requirements.txt"), |
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extras_require={ |
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"dev": ["pytest"], |
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"eval": ["pandas"], |
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}, |
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) |
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