Create pyproject.toml

pyproject.toml

@@ -0,0 +1,40 @@
+[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"]