[M] Migrate to poetry for modern dependency management
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[tool.poetry]
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name = "msclap"
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version = "1.3.0"
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description = "CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference. The model has been extensively evaluated in 26 audio downstream tasks achieving SoTA in several of them including classification, retrieval, and captioning."
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authors = ["Benjamin Elizalde and Soham Deshmukh and Huaming Wang"]
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license = "MIT"
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readme = "README.md"
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[tool.poetry.dependencies]
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python = "^3.9"
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librosa = "^0.10.1"
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numpy = ">=1.25.0,<1.26.0"
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numba = ">=0.58.0,<0.59.0"
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pandas = ">=2.0.0,<2.1.0"
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torch = "^2.1.0"
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torchaudio = "^2.1.0"
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torchlibrosa = "^0.1.0"
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torchvision = "^0.16.0"
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tqdm = "^4.66.1"
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transformers = "^4.34.0"
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pyyaml = "^6.0.1"
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scikit-learn = "^1.3.1"
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importlib-resources = ">=5.12.0,<5.13.0"
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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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huggingface-hub~=0.12.1
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importlib-resources~=5.12.0
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# joblib~=1.2.0
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librosa~=0.10.1
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numba~=0.58.0
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numpy~=1.25.0
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pandas~=2.1.1
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PyYAML~=6.0
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scikit-learn~=1.2.1
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setuptools~=65.6.3
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torch~=2.1.0
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torchaudio~=2.1.0
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torchlibrosa~=0.1.0
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torchvision~=0.16.0
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tqdm~=4.64.1
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transformers~=4.26.1
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