feat: initial public release v0.1.0 — MLX port of pyannote-speaker-diarization-3.1

Byte-parity with pyannote-PyTorch reference (cosine 0.763718 identical
at 6 decimals on 200 cross-window slot pairs). 2.5x faster than
pyannote-MPS on Apple Silicon native.

Extracted from gitea.tavportal.com/olivier/MLX_CONVERTOR commit 5f9eafa.

pyproject.toml

@@ -0,0 +1,36 @@
+[project]
+name = "pyannote-speaker-diarization-3.1-mlx"
+version = "0.1.0"
+description = "MLX port of pyannote/speaker-diarization-3.1 with byte-parity to PyTorch reference"
+readme = "README.md"
+requires-python = ">=3.12,<3.14"
+authors = [{ name = "Olivier Dupont", email = "olivier.dupont@taviramonaco.com" }]
+license = { text = "MIT" }
+keywords = ["mlx", "pyannote", "speaker-diarization", "apple-silicon"]
+classifiers = [
+    "Programming Language :: Python :: 3.12",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: MacOS",
+]
+dependencies = [
+    "mlx>=0.21.0",
+    "torch>=2.5.0",
+    "torchaudio>=2.5.0",
+    "huggingface_hub>=0.26.0",
+    "safetensors>=0.4.5",
+    "librosa>=0.10.2",
+    "scipy>=1.14",
+    "numpy>=2.0",
+    "pyannote.audio>=4.0.4",
+]
+
+[project.optional-dependencies]
+bench = ["psutil>=7.0"]
+dev = ["pytest>=8.3", "pytest-mock>=3.14", "ruff>=0.7"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/pyannote_diarization_3_1_mlx"]