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							- # Copyright (c) Meta Platforms, Inc. and affiliates
 
- # All rights reserved.
 
- #
 
- # This source code is licensed under the license found in the
 
- # LICENSE file in the root directory of this source tree.
 
- from setuptools import find_packages, setup
 
- setup(
 
-     name="seamless_communication",
 
-     version="1.0.0",
 
-     packages=find_packages(where="src"),
 
-     package_dir={"": "src"},
 
-     package_data={"": ["py.typed", "cards/*.yaml"]},
 
-     description="SeamlessM4T -- Massively Multilingual & Multimodal Machine Translation Model",
 
-     long_description=open("README.md", encoding="utf-8").read(),
 
-     long_description_content_type="text/markdown",
 
-     readme="README.md",
 
-     python_requires=">=3.8",
 
-     author="Fundamental AI Research (FAIR) at Meta",
 
-     url="https://github.com/facebookresearch/seamless_communication",
 
-     license="Creative Commons",
 
-     install_requires=[
 
-         "datasets",
 
-         "fairseq2==0.2.*",
 
-         "librosa",
 
-         "openai-whisper",
 
-         "simuleval~=1.1.2",
 
-         "soundfile",
 
-         "torchaudio",
 
-         "tqdm",
 
-     ],
 
-     entry_points={
 
-         "console_scripts": [
 
-             "m4t_evaluate=seamless_communication.cli.m4t.evaluate.evaluate:main",
 
-             "m4t_predict=seamless_communication.cli.m4t.predict.predict:main",
 
-             "m4t_finetune=seamless_communication.cli.m4t.finetune.finetune:main",
 
-             "m4t_prepare_dataset=seamless_communication.cli.m4t.finetune.dataset:main",
 
-             "m4t_audio_to_units=seamless_communication.cli.m4t.audio_to_units.audio_to_units:main",
 
-         ],
 
-     },
 
-     include_package_data=True,
 
- )
 
 
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