AutoQuantNX / pyproject.toml
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[tool.poetry]
name = "autoquantnx"
version = "0.1.0"
description = "Webapp to quantize and convert to ONNX HF models in go and compare them"
authors = ["kartikbhtt7 <kartikbhtt7@gmail.com>"]
readme = "README.md"
packages = [
{ include = "src" }
]
[tool.poetry.dependencies]
python = ">=3.10,<3.12"
gradio = "^4.00.0"
transformers = "^4.31.0"
pandas = "^2.2.2"
torch = "^2.3.0"
onnx = "^1.16.2"
onnxruntime = "^1.18.1"
onnxconverter-common = ">=1.14.0"
optimum = "^1.21.3"
huggingface-hub = "^0.24.6"
sentence-transformers = "^3.0.1"
bitsandbytes = "^0.43.3"
evaluate = "^0.4.0"
faiss-gpu = "^1.7.2"
faiss-cpu = "^1.8.0.post1"
azure-cognitiveservices-speech = "^1.40.0"
gdown = "^5.2.0"
jiwer = "^3.0.4"
pydub = "^0.25.1"
librosa = "^0.10.2.post1"
soundfile = "^0.12.1"
catalogue = "^2.0.10"
langchain-core = "^0.1.40"
langchain-openai = "^0.1.0"
fast-pytorch-kmeans = "^0.2.0.1"
typing-extensions = "^4.12.2"
textwrap3 = "^0.9.2"
pynvml = "^11.5.3"
psutil = "^6.1.1"
accelerate = "^0.26.0"
[tool.poetry.dev-dependencies]
black = "^23.7.0"
flake8 = "^6.1.0"
pytest = "^7.4.3"
pytest-asyncio = "^0.21.1"
pytest-django = "^4.8.0"
pytest-cov = "^4.1.0"
pytest-testmon = "^2.1.0"
pytest-watch = "^4.2.0"
coverage = "^7.3.2"
[build-system]
requires = ["poetry>=1.5.1"]
build-backend = "poetry.core.masonry.api"