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import os
kwargs = {}
if os.environ.get("CT_WHEEL") == "1":
from setuptools import setup
else:
from skbuild import setup
cmake_args = []
for key in ["CT_INSTRUCTIONS", "CT_CUBLAS"]:
value = os.environ.get(key)
if value:
cmake_args.append(f"-D{key}={value}")
if cmake_args:
kwargs["cmake_args"] = cmake_args
with open("README.md") as f:
long_description = f.read()
name = "ctransformers"
setup(
name=name,
version="0.2.11",
description="Python bindings for the Transformer models implemented in C/C++ using GGML library.",
long_description=long_description,
long_description_content_type="text/markdown",
author="Ravindra Marella",
author_email="mv.ravindra007@gmail.com",
url="https://github.com/marella/{}".format(name),
license="MIT",
packages=[name],
package_data={name: ["lib/*/*.so", "lib/*/*.dll", "lib/*/*.dylib"]},
install_requires=[
"huggingface-hub",
],
extras_require={
"tests": [
"pytest",
],
},
zip_safe=False,
classifiers=[
"Development Status :: 1 - Planning",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
],
keywords="{} transformers ai llm".format(name),
**kwargs,
)
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