Complete the package metadata

setup.py

@@ -2,13 +2,20 @@ import os
 
 from setuptools import find_packages, setup
 
+base_dir = os.path.dirname(os.path.abspath(__file__))
+
+
+def get_long_description():
+    readme_path = os.path.join(base_dir, "README.md")
+    with open(readme_path, encoding="utf-8") as readme_file:
+        return readme_file.read()
+
 
 def get_requirements(path):
     with open(path, encoding="utf-8") as requirements:
         return [requirement.strip() for requirement in requirements]
 
 
-base_dir = os.path.dirname(os.path.abspath(__file__))
 install_requires = get_requirements(os.path.join(base_dir, "requirements.txt"))
 conversion_requires = get_requirements(
     os.path.join(base_dir, "requirements.conversion.txt")
@@ -17,8 +24,26 @@ conversion_requires = get_requirements(
 setup(
     name="faster-whisper",
     version="0.1.0",
+    license="MIT",
     description="Faster Whisper transcription with CTranslate2",
+    long_description=get_long_description(),
+    long_description_content_type="text/markdown",
     author="Guillaume Klein",
+    url="https://github.com/guillaumekln/faster-whisper",
+    classifiers=[
+        "Development Status :: 4 - Beta",
+        "Intended Audience :: Developers",
+        "Intended Audience :: Science/Research",
+        "License :: OSI Approved :: MIT License",
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3 :: Only",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    ],
+    keywords="openai whisper speech ctranslate2 inference quantization transformer",
     python_requires=">=3.8",
     install_requires=install_requires,
     extras_require={