Add pip_build.py and required __init__.py files, update README.md.

README.md

@@ -11,6 +11,28 @@ This library is an extension of the core Keras API; all high-level modules
 receive that same level of polish as core Keras. If you are familiar with Keras,
 congratulations! You already understand most of Keras Recommenders.
 
+## Installation
+
+Keras Recommenders is available on PyPI as `keras-rs`:
+
+```bash
+pip install keras-rs
+```
+
+To try out the latest version of Keras Recommenders, you can use our nightly
+package:
+
+```bash
+pip install keras-rs-nightly
+```
+
+Read [Getting started with Keras](https://keras.io/getting_started/) for more
+information on installing Keras 3 and compatibility with different frameworks.
+
+> [!IMPORTANT]
+> We recommend using Keras Recommenders with TensorFlow 2.16 or later, as
+> TF 2.16 packages Keras 3 by default.
+
 ## Configuring your backend
 
 If you have Keras 3 installed in your environment (see installation above), you
@@ -27,7 +49,7 @@ Or in Colab, with:
 import os
 os.environ["KERAS_BACKEND"] = "jax"
 
-import keras_recommenders
+import keras_rs
 ```
 
 > [!IMPORTANT]

pip_build.py

@@ -0,0 +1,140 @@
+"""Script to create (and optionally install) a `.whl` archive for Keras RS.
+
+Usage:
+
+1. Create a `.whl` file in `dist/`:
+
+```
+python3 pip_build.py
+```
+
+2. Also install the new package immediately after:
+
+```
+python3 pip_build.py --install
+```
+"""
+
+import argparse
+import datetime
+import os
+import pathlib
+import re
+import shutil
+
+package = "keras_rs"
+build_directory = "tmp_build_dir"
+dist_directory = "dist"
+to_copy = ["setup.py", "README.md"]
+
+
+def ignore_files(path: str, filenames: list[str]) -> list[str]:
+    if path.endswith("testing"):
+        return filenames
+    return [f for f in filenames if f.endswith("_test.py")]
+
+
+def update_version(
+    build_path: pathlib.Path, version: str, is_nightly: bool
+) -> None:
+    """Export Version and Package Name."""
+    if is_nightly:
+        date = datetime.datetime.now()
+        version += f".dev{date.strftime('%Y%m%d%H')}"
+        # Replaces `name="keras-rs"` in `setup.py` with `keras-rs-nightly`
+        with open(build_path / "setup.py") as f:
+            setup_contents = f.read()
+        with open(build_path / "setup.py", "w") as f:
+            setup_contents = setup_contents.replace(
+                'name="keras-rs"', 'name="keras-rs-nightly"'
+            )
+            f.write(setup_contents)
+
+    # Make sure to export the __version__ string
+    version_utils = build_path / package / "src" / "version_utils.py"
+    with open(version_utils) as f:
+        contents = f.read()
+    with open(version_utils, "w") as f:
+        contents = re.sub(
+            "\n__version__ = .*\n",
+            f'\n__version__ = "{version}"\n',
+            contents,
+        )
+        f.write(contents)
+
+
+def copy_source_to_build_directory(root_path: pathlib.Path) -> None:
+    # Copy sources (`keras_rs/` directory and setup files) to build directory
+    shutil.copytree(
+        root_path / package,
+        root_path / build_directory / package,
+        ignore=ignore_files,
+    )
+    for fname in to_copy:
+        shutil.copy(root_path / fname, root_path / build_directory / fname)
+
+
+def build_wheel(
+    build_path: pathlib.Path, dist_path: pathlib.Path, __version__: str
+) -> pathlib.Path:
+    # Build the package
+    os.chdir(build_path)
+    os.system("python3 -m build")
+
+    # Save the dist files generated by the build process
+    if not os.path.exists(dist_path):
+        os.mkdir(dist_path)
+    for fpath in (build_path / dist_directory).glob("*.*"):
+        shutil.copy(fpath, dist_path)
+
+    # Find the .whl file path
+    for fname in os.listdir(dist_path):
+        if __version__ in fname and fname.endswith(".whl"):
+            whl_path = dist_path / fname
+            print(f"Build successful. Wheel file available at {whl_path}")
+            return whl_path
+    raise FileNotFoundError("Build failed")
+
+
+def build(root_path: pathlib.Path, is_nightly: bool) -> pathlib.Path:
+    if os.path.exists(build_directory):
+        raise ValueError(f"Directory already exists: {build_directory}")
+
+    try:
+        build_path = root_path / build_directory
+        dist_path = root_path / dist_directory
+        os.mkdir(build_path)
+
+        from keras_rs.src.version_utils import __version__  # noqa: E402
+
+        copy_source_to_build_directory(root_path)
+        update_version(build_path, __version__, is_nightly)
+        return build_wheel(build_path, dist_path, __version__)
+    finally:
+        # Clean up: remove the build directory (no longer needed)
+        os.chdir(root_path)
+        shutil.rmtree(root_path / build_directory)
+
+
+def install_whl(whl_fpath: pathlib.Path) -> None:
+    print(f"Installing wheel file: {whl_fpath}")
+    os.system(f"pip3 install {whl_fpath} --force-reinstall --no-dependencies")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--install",
+        action="store_true",
+        help="Whether to install the generated wheel file.",
+    )
+    parser.add_argument(
+        "--nightly",
+        action="store_true",
+        help="Whether to generate nightly wheel file.",
+    )
+    args = parser.parse_args()
+    root_path = pathlib.Path(__file__).parent.resolve()
+    whl_path = build(root_path, args.nightly)
+    if whl_path and args.install:
+        install_whl(whl_path)