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[tool.poetry] | ||
name = "open_gpt_torch" | ||
version = "0.0.8" | ||
description = "An open-source cloud-native of large multi-modal models (LMMs) serving framework." | ||
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license = "Apache-2.0" | ||
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authors = [ | ||
"Jina AI <hello@jina.ai>" | ||
] | ||
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repository = "https://github.com/jina-ai/opengpt" | ||
homepage = "https://github.com/jina-ai/opengpt" | ||
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classifiers = [ | ||
"Development Status :: 4 - Beta", | ||
"Intended Audience :: Developers", | ||
"Intended Audience :: Science/Research", | ||
"License :: OSI Approved :: Apache Software License", | ||
"Operating System :: OS Independent", | ||
"Programming Language :: Python :: 3", | ||
"Programming Language :: Python :: 3.8", | ||
"Programming Language :: Python :: 3.9", | ||
"Programming Language :: Python :: 3.10", | ||
"Programming Language :: Python :: 3.11", | ||
"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", | ||
] | ||
packages = [{ include = "open_gpt" }] | ||
exclude = ["**/*.pyc", "**/*.pyi", "tests/**/*", "docs/**/*", "examples/**/*"] | ||
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# README file(s) are used as the package description | ||
readme = ["README.md", "LICENSE"] | ||
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# Keywords (translated to tags on the package index) | ||
keywords = ["Pytorch", "LMM", "GPT", "LLM", "multi-modality", "cloud-native", "model-serving", "model-inference", "llama", "vicuna", "stabellm"] | ||
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[build-system] | ||
requires = ["poetry-core>=1.1.0"] | ||
build-backend = "poetry.core.masonry.api" | ||
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[tool.poetry.dependencies] | ||
# Compatible Python versions | ||
python = ">=3.8,<4.0" | ||
jina = "^3.17.0" | ||
docarray = "^0.21.0" | ||
jcloud = "^0.2.11" | ||
inference-client = "^0.0.4" | ||
pydantic = "^1.10.0" | ||
loguru = "^0.5" | ||
cleo = "^2.0.0" | ||
click = "^8.1.3" | ||
Jinja2 = "^3.1.2" | ||
numpy = "^1.21.2" | ||
einops = "^0.6.0" | ||
tensorboard = "<2.11.2" | ||
transformers = "^4.30.1" | ||
bitsandbytes = "^0.39.0" | ||
accelerate = "^0.20.3" | ||
tqdm = "^4.62.3" | ||
peft = "^0.3.0" | ||
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# A list of all of the optional dependencies, some of which are included in the | ||
# below `extras`. They can be opted into by apps. | ||
psutil = { version = "^5.8.0", optional = true } | ||
open-flamingo = { version = "^0.0.2", optional = true } | ||
open_clip_torch = { version = "^2.20.0", optional = true } | ||
gradio = { version = "^3.30.0", optional = true } | ||
mdtex2html = { version = "^1.2.0", optional = true } | ||
markdown2 = { version = "^2.4.0", optional = true } | ||
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[tool.poetry.extras] | ||
flamingo = ["open-flamingo", "open_clip_torch"] | ||
playground = ["gradio", "mdtex2html", "markdown2"] | ||
profile = ["psutil"] | ||
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# Dependency groups are supported for organizing your dependencies | ||
[tool.poetry.group.dev.dependencies] | ||
ruff = "^0.0.262" | ||
mypy = "^1.2.0" | ||
pre-commit = ">=2.15.0" | ||
pytest = "^7.1.2" | ||
pytest-cov = "^3.0" | ||
pytest-mock = ">=3.5" | ||
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[tool.pytest.ini_options] | ||
# Ignore deprecation warnings | ||
filterwarnings = [ | ||
"ignore:Deprecated call to `pkg_resources.declare_namespace:DeprecationWarning" | ||
] | ||
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# ...and can be installed only when explicitly requested | ||
[tool.poetry.group.docs] | ||
optional = true | ||
[tool.poetry.group.docs.dependencies] | ||
Sphinx = "^5.1.1" | ||
requires = ["setuptools>=40.8.0", "wheel"] | ||
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# Python-style entrypoints and scripts are easily expressed | ||
[tool.poetry.scripts] | ||
opengpt = "open_gpt.cli.application:main" | ||
[tool.autopep8] | ||
aggressive = 1 | ||
ignore = "E501,E701,E731,W690" | ||
max_line_length = 88 |
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import sys | ||
from os import path | ||
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from setuptools import find_packages, setup | ||
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if sys.version_info < (3, 8, 0): | ||
raise OSError(f'OpenGPT requires Python >=3.8, but yours is {sys.version}') | ||
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try: | ||
pkg_name = 'open-gpt-torch' | ||
libinfo_py = path.join(path.dirname(__file__), 'open_gpt', '__init__.py') | ||
libinfo_content = open(libinfo_py, 'r', encoding='utf8').readlines() | ||
version_line = [l.strip() for l in libinfo_content if l.startswith('__version__')][ | ||
0 | ||
] | ||
exec(version_line) # gives __version__ | ||
except FileNotFoundError: | ||
__version__ = '0.0.0' | ||
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try: | ||
with open('../README.md', encoding='utf8') as fp: | ||
_long_description = fp.read() | ||
except FileNotFoundError: | ||
_long_description = '' | ||
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setup( | ||
name=pkg_name, | ||
packages=find_packages(), | ||
version=__version__, | ||
include_package_data=True, | ||
description='An open-source cloud-native of large multi-modal models (LMMs) serving framework.', | ||
author='Jina AI', | ||
author_email='hello@jina.ai', | ||
license='Apache 2.0', | ||
url='https://https://github.com/jina-ai/opengpt', | ||
download_url='https://https://github.com/jina-ai/opengpt/tags', | ||
long_description=_long_description, | ||
long_description_content_type='text/markdown', | ||
zip_safe=False, | ||
setup_requires=['setuptools>=18.0', 'wheel'], | ||
install_requires=[ | ||
'pydantic<2.0.0', | ||
'jina>=3.17.0', | ||
'docarray<0.30.0', | ||
'jcloud>0.2.0', | ||
'inference-client>=0.0.4', | ||
'cleo>=2.0.0', | ||
'click>=8.0.0', | ||
'Jinja2>=3.1.0', | ||
'transformers>=4.30.1', | ||
'bitsandbytes>=0.39.0', | ||
'accelerate>=0.20.3', | ||
'peft>=0.3.0', | ||
'open_clip_torch>=2.20.0', | ||
'loguru', | ||
'tqdm', | ||
], | ||
extras_require={ | ||
'profile': ['psutil'], | ||
'test': ['pytest', 'pytest-cov', 'pytest-xdist', 'pytest-mock'], | ||
}, | ||
classifiers=[ | ||
"Development Status :: 4 - Beta", | ||
"Intended Audience :: Developers", | ||
"Intended Audience :: Science/Research", | ||
"License :: OSI Approved :: Apache Software License", | ||
"Operating System :: OS Independent", | ||
"Programming Language :: Python :: 3", | ||
"Programming Language :: Python :: 3.8", | ||
"Programming Language :: Python :: 3.9", | ||
"Programming Language :: Python :: 3.10", | ||
"Programming Language :: Python :: 3.11", | ||
"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", | ||
], | ||
project_urls={ | ||
'Documentation': 'https://opengpt.jina.ai', | ||
'Source': 'https://github.com/jina-ai/opengpt/', | ||
'Tracker': 'https://github.com/jina-ai/opengpt/issues', | ||
}, | ||
keywords=[ | ||
"Pytorch", | ||
"LMM", | ||
"GPT", | ||
"LLM", | ||
"multi-modality", | ||
"cloud-native", | ||
"model-serving", | ||
"model-inference", | ||
"llama", | ||
"vicuna", | ||
"stabellm", | ||
], | ||
) |