feat: use uv for building package

pyproject.toml

@@ -0,0 +1,32 @@
+[project]
+urls = { repository = "https://github.com/m-bain/whisperx" }
+authors = [{ name = "Max Bain" }]
+name = "whisperx"
+version = "3.3.1"
+description = "Time-Accurate Automatic Speech Recognition using Whisper."
+readme = "README.md"
+requires-python = ">=3.9, <3.13"
+license = { text = "BSD-2-Clause" }
+
+dependencies = [
+    "ctranslate2>=4.5.0",
+    "faster-whisper>=1.1.1",
+    "nltk>=3.9.1",
+    "onnxruntime==1.19",
+    "pandas>=2.2.3",
+    "pyannote-audio>=3.3.2",
+    "torch>=2.5.1",
+    "torchaudio>=2.5.1",
+    "transformers>=4.48.0",
+]
+
+
+[project.scripts]
+whisperx = "whisperx.transcribe:cli"
+
+[build-system]
+requires = ["setuptools"]
+
+[tool.setuptools]
+packages = ["whisperx"]
+include-package-data = true

requirements.txt

@@ -1,8 +0,0 @@
-torch>=2
-torchaudio>=2
-faster-whisper==1.1.0
-ctranslate2<4.5.0
-transformers
-pandas
-setuptools>=65
-nltk

setup.py

@@ -1,33 +0,0 @@
-import os
-
-import pkg_resources
-from setuptools import find_packages, setup
-
-with open("README.md", "r", encoding="utf-8") as f:
-    long_description = f.read()
-
-setup(
-    name="whisperx",
-    py_modules=["whisperx"],
-    version="3.3.1",
-    description="Time-Accurate Automatic Speech Recognition using Whisper.",
-    long_description=long_description,
-    long_description_content_type="text/markdown",
-    python_requires=">=3.9, <3.13",
-    author="Max Bain",
-    url="https://github.com/m-bain/whisperx",
-    license="BSD-2-Clause",
-    packages=find_packages(exclude=["tests*"]),
-    install_requires=[
-        str(r)
-        for r in pkg_resources.parse_requirements(
-            open(os.path.join(os.path.dirname(__file__), "requirements.txt"))
-        )
-    ]
-    + [f"pyannote.audio==3.3.2"],
-    entry_points={
-        "console_scripts": ["whisperx=whisperx.transcribe:cli"],
-    },
-    include_package_data=True,
-    extras_require={"dev": ["pytest"]},
-)