Download pyproject.toml from zeechimp/whisper-decoder: direct link, hf CLI and curl.
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https://huggingface.co/zeechimp/whisper-decoder/resolve/main/pyproject.toml
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hf download hf://zeechimp/whisper-decoder/pyproject.toml
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1.19 kB
| [build-system] | |
| requires = ["setuptools>=61"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "whisper-decoder" | |
| version = "0.2.0" | |
| description = "Closed-vocabulary word classification from whispered speech." | |
| readme = "README.md" | |
| license = {text = "Apache-2.0"} | |
| requires-python = ">=3.9" | |
| authors = [{name = "whisper-decoder contributors"}] | |
| keywords = [ | |
| "speech", "whisper", "formants", "mfcc", | |
| "keyword-spotting", "numpy", "cpu", | |
| ] | |
| classifiers = [ | |
| "Development Status :: 4 - Beta", | |
| "Intended Audience :: Developers", | |
| "Intended Audience :: Science/Research", | |
| "License :: OSI Approved :: Apache Software License", | |
| "Programming Language :: Python :: 3", | |
| "Programming Language :: Python :: 3 :: Only", | |
| "Topic :: Scientific/Engineering", | |
| "Topic :: Multimedia :: Sound/Audio :: Speech", | |
| ] | |
| dependencies = ["numpy>=1.20"] | |
| [project.optional-dependencies] | |
| plots = ["matplotlib>=3.5"] | |
| [project.urls] | |
| Homepage = "https://huggingface.co/<your-username>/whisper-decoder" | |
| Repository = "https://huggingface.co/<your-username>/whisper-decoder" | |
| [project.scripts] | |
| whisper-decoder = "whisper_decoder:main" | |
| [tool.setuptools] | |
| py-modules = ["whisper_decoder"] |