using pyproject.toml over setup.py to manage the package information

.github/workflows/test.yml

@@ -28,6 +28,5 @@ jobs:
       - run: conda install -n test python=${{ matrix.python-version }} pytorch=${{ matrix.pytorch-version }} torchvision=${{ matrix.torchvision-version }} cpuonly -c pytorch
       - uses: actions/checkout@v2
       - run: echo "$CONDA/envs/test/bin" >> $GITHUB_PATH
-      - run: pip install pytest
-      - run: pip install .
+      - run: pip install .[dev]
       - run: pytest

.gitignore

@@ -8,3 +8,5 @@ __pycache__/
 thumbs.db
 .DS_Store
 .idea
+
+build

CHANGELOG.md

@@ -0,0 +1,21 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+### Added
+
+- pyproject.toml
+
+### Changed
+
+- Start using "pyproject.toml" over "setup.py" to manage the package information.
+
+### Removed
+
+- requirements.txt
+- setup.py

README.md

@@ -14,16 +14,12 @@ CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a
 
 ## Usage
 
-First, [install PyTorch 1.7.1](https://pytorch.org/get-started/locally/) (or later) and torchvision, as well as small additional dependencies, and then install this repo as a Python package. On a CUDA GPU machine, the following will do the trick:
+First, install this repo as a Python package
 
 ```bash
-$ conda install --yes -c pytorch pytorch=1.7.1 torchvision cudatoolkit=11.0
-$ pip install ftfy regex tqdm
 $ pip install git+https://github.com/openai/CLIP.git
 ```
 
-Replace `cudatoolkit=11.0` above with the appropriate CUDA version on your machine or `cpuonly` when installing on a machine without a GPU.
-
 ```python
 import torch
 import clip

clip/__init__.py

@@ -1 +1,3 @@
 from .clip import *
+
+__version__ = "1.1.dev"

pyproject.toml

@@ -0,0 +1,26 @@
+[build-system]
+requires = ["setuptools"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "clip"
+dynamic = ["version", "readme"]
+authors = [{name = "OpenAI"}]
+requires-python = ">=3.8"
+dependencies = [
+    "ftfy",
+    "regex",
+    "tqdm",
+    "torch>=1.7.1",
+    "torchvision",
+]
+
+[project.optional-dependencies]
+dev = ["pytest"]
+
+[tool.setuptools.dynamic]
+version = {attr = "clip.__version__"}
+readme = {file = ["README.md"]}
+
+[tool.setuptools.packages.find]
+exclude = ["tests"]

requirements.txt

@@ -1,5 +0,0 @@
-ftfy
-regex
-tqdm
-torch
-torchvision

setup.py

@@ -1,21 +0,0 @@
-import os
-
-import pkg_resources
-from setuptools import setup, find_packages
-
-setup(
-    name="clip",
-    py_modules=["clip"],
-    version="1.0",
-    description="",
-    author="OpenAI",
-    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"))
-        )
-    ],
-    include_package_data=True,
-    extras_require={'dev': ['pytest']},
-)