mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 08:26:21 +02:00
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
import setuptools
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import os
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import importlib
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with open("README.md", "r") as fh:
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long_description = fh.read()
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# Load a version number module
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spec = importlib.util.spec_from_file_location(
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'version', 'trustgraph/embeddings_hf_version.py'
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)
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version_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(version_module)
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version = version_module.__version__
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setuptools.setup(
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name="trustgraph-embeddings-hf",
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version=version,
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author="trustgraph.ai",
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author_email="security@trustgraph.ai",
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description="HuggingFace embeddings support for TrustGraph.",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/trustgraph-ai/trustgraph",
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packages=setuptools.find_namespace_packages(
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where='./',
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),
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
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"Operating System :: OS Independent",
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],
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python_requires='>=3.8',
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download_url = "https://github.com/trustgraph-ai/trustgraph/archive/refs/tags/v" + version + ".tar.gz",
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install_requires=[
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"trustgraph-base>=0.23,<0.24",
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"trustgraph-flow>=0.23,<0.24",
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"torch",
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"urllib3",
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"transformers",
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"sentence-transformers",
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"langchain",
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"langchain-core",
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"langchain-huggingface",
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"langchain-community",
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"huggingface-hub",
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"pulsar-client",
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"pyyaml",
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"prometheus-client",
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],
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scripts=[
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"scripts/embeddings-hf",
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]
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)
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