import setuptools import os with open("README.md", "r") as fh: long_description = fh.read() version = "0.3.1" setuptools.setup( name="trustgraph", version=version, author="trustgraph.ai", author_email="security@trustgraph.ai", description="TrustGraph provides a means to run a pipeline of flexible AI processing components in a flexible means to achieve a processing pipeline.", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/trustgraph-ai/trustgraph", packages=setuptools.find_packages(), classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Operating System :: OS Independent", ], python_requires='>=3.8', download_url = "https://github.com/trustgraph-ai/trustgraph/archive/refs/tags/v" + version + ".tar.gz", install_requires=[ "torch", "urllib3", "transformers", "sentence-transformers", "rdflib", "pymilvus", "langchain", "langchain-core", "langchain-huggingface", "langchain-text-splitters", "langchain-community", "huggingface-hub", "requests", "cassandra-driver", "pulsar-client", "pypdf", "anthropic", "google-cloud-aiplatform", "pyyaml", ], scripts=[ "scripts/chunker-recursive", "scripts/embeddings-hf", "scripts/embeddings-ollama", "scripts/embeddings-vectorize", "scripts/graph-rag", "scripts/graph-show", "scripts/graph-to-turtle", "scripts/graph-write-cassandra", "scripts/init-pulsar-manager", "scripts/kg-extract-definitions", "scripts/kg-extract-relationships", "scripts/llm-azure-text", "scripts/llm-claude-text", "scripts/llm-ollama-text", "scripts/llm-vertexai-text", "scripts/loader", "scripts/pdf-decoder", "scripts/query", "scripts/run-processing", "scripts/vector-write-milvus", ] )