wehub-resource-sync
66 lines
1.9 KiB
TOML
66 lines
1.9 KiB
TOML
[tool.poetry]
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name = "llm-app"
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version = "0.3.6"
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description = "LLM-App is a library for creating responsive AI applications leveraging OpenAI/Hugging Face APIs to provide responses to user queries based on live data sources. Build your own LLM application in 30 lines of code, no vector database required."
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authors = [
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"Jan Chorowski <janek@pathway.com>",
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"Kamil Piechowiak <kamil@pathway.com>",
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"Jakub Kowalski <kuba@pathway.com>",
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"Michał Bartoszkiewicz <embe@pathway.com>",
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"Mohamed Malhou <mohamed@pathway.com>",
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"Sergey Kulik <sergey@pathway.com>",
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"Adrian Kosowski <adrian@pathway.com>",
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"Mateusz Lewandowski <mateusz@pathway.com>",
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"Olivier Ruas <olivier@pathway.com>",
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]
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license = "MIT"
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readme = "README.md"
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keywords = ["Pathway", "LLM"]
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package-mode = false
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classifiers = [
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Developers",
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"Programming Language :: Python :: Implementation :: CPython",
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"License :: OSI Approved :: MIT License",
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]
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[tool.poetry.urls]
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"Homepage" = "https://github.com/pathwaycom/llm-app"
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"Source Code" = "https://github.com/pathwaycom/llm-app"
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[tool.poetry.dependencies]
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python = ">=3.10,<3.13"
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pathway = "^0.12.0"
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[tool.poetry.group.linters]
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optional = true
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[tool.poetry.group.linters.dependencies]
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black = "^24.2.0"
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isort = "^5.13.2"
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mypy = "~1.10.0"
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flake8 = "~7.0.0"
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pytest = "^8.0.2"
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types-requests = "^2.31.0"
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types-PyYAML = "^6.0.0"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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[tool.black]
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target-version = ["py310", "py311"]
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[tool.isort]
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profile = "black"
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[tool.mypy]
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python_version = "3.10"
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exclude = ["templates/adaptive_rag", "templates/private_rag", "templates/document_indexing", "templates/multimodal_rag", "templates/question_answering_rag", "templates/video_rag_twelvelabs"]
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ignore_missing_imports = true
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check_untyped_defs = true
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warn_redundant_casts = true
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warn_unused_ignores = true
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strict_equality = true
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