meta4t / setup.py
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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 pathlib import Path
import os
from typing import Iterable
import pkg_resources
from setuptools import find_packages, setup
from setuptools.command.develop import develop
def _load_requirements(fname: str) -> Iterable[str]:
with open(Path(__file__).parent / fname) as fp_in:
for req in pkg_resources.parse_requirements(fp_in):
yield str(req)
def _add_symlinks():
root = Path(__file__).parent
sc_root = root / "src/seamless_communication"
sc_link = root / "seamless_communication"
m4t_scripts_root = root / "scripts/m4t"
m4t_scripts_link = root / "m4t_scripts"
if not sc_link.exists():
os.symlink(sc_root, sc_link, target_is_directory=True)
if not m4t_scripts_link.exists():
os.symlink(m4t_scripts_root, m4t_scripts_link, target_is_directory=True)
class cmd_for_editable_mode(develop):
def run(self):
# add symlinks for modules if install in editable mode
_add_symlinks()
super().run()
default_requirements = list(_load_requirements("requirements.txt"))
dev_requirements = list(_load_requirements("dev_requirements.txt"))
setup(
name="seamless_communication",
version="1.0.0",
packages=find_packages(where="src")
+ ["m4t_scripts.finetune", "m4t_scripts.predict"],
package_dir={
"m4t_scripts": "scripts/m4t",
"seamless_communication": "src/seamless_communication",
},
package_data={"": ["assets/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=default_requirements,
extras_require={"dev": default_requirements + dev_requirements},
entry_points={
"console_scripts": [
"m4t_predict=m4t_scripts.predict.predict:main",
"m4t_finetune=m4t_scripts.finetune.finetune:main",
"m4t_prepare_dataset=m4t_scripts.finetune.dataset:main",
"m4t_audio_to_units=m4t_scripts.audio_to_units.audio_to_units:main",
],
},
cmdclass={"develop": cmd_for_editable_mode},
include_package_data=True,
)