Update

.pre-commit-config.yaml

@@ -0,0 +1,60 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.6.0
+    hooks:
+      - id: check-executables-have-shebangs
+      - id: check-json
+      - id: check-merge-conflict
+      - id: check-shebang-scripts-are-executable
+      - id: check-toml
+      - id: check-yaml
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+        args: ["--fix=lf"]
+      - id: requirements-txt-fixer
+      - id: trailing-whitespace
+  - repo: https://github.com/myint/docformatter
+    rev: v1.7.5
+    hooks:
+      - id: docformatter
+        args: ["--in-place"]
+  - repo: https://github.com/pycqa/isort
+    rev: 5.13.2
+    hooks:
+      - id: isort
+        args: ["--profile", "black"]
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.10.0
+    hooks:
+      - id: mypy
+        args: ["--ignore-missing-imports"]
+        additional_dependencies:
+          [
+            "types-python-slugify",
+            "types-requests",
+            "types-PyYAML",
+            "types-pytz",
+          ]
+  - repo: https://github.com/psf/black
+    rev: 24.4.2
+    hooks:
+      - id: black
+        language_version: python3.10
+        args: ["--line-length", "119"]
+  - repo: https://github.com/kynan/nbstripout
+    rev: 0.7.1
+    hooks:
+      - id: nbstripout
+        args:
+          [
+            "--extra-keys",
+            "metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
+          ]
+  - repo: https://github.com/nbQA-dev/nbQA
+    rev: 1.8.5
+    hooks:
+      - id: nbqa-black
+      - id: nbqa-pyupgrade
+        args: ["--py37-plus"]
+      - id: nbqa-isort
+        args: ["--float-to-top"]

README.md

@@ -4,7 +4,7 @@ emoji: 🚀
 colorFrom: red
 colorTo: gray
 sdk: gradio
-sdk_version: 3.0.5
+sdk_version: 4.36.1
 app_file: app.py
 pinned: false
 ---

app.py

@@ -2,10 +2,7 @@
 
 from __future__ import annotations
 
-import argparse
-import functools
 import io
-import os
 import pathlib
 import tarfile
 
@@ -14,8 +11,8 @@ import numpy as np
 import PIL.Image
 from huggingface_hub import hf_hub_download
 
-TITLE = 'TADNE (This Anime Does Not Exist) Image Viewer'
-DESCRIPTION = '''The original TADNE site is https://thisanimedoesnotexist.ai/.
+TITLE = "TADNE (This Anime Does Not Exist) Image Viewer"
+DESCRIPTION = """The original TADNE site is https://thisanimedoesnotexist.ai/.
 
 You can view images generated by the TADNE model with seed 0-99999.
 The original images are 512x512 in size, but they are resized to 128x128 here.
@@ -28,36 +25,21 @@ Related Apps:
 - [TADNE Image Selector](https://huggingface.co/spaces/hysts/TADNE-image-selector)
 - [TADNE Interpolation](https://huggingface.co/spaces/hysts/TADNE-interpolation)
 - [TADNE Image Search with DeepDanbooru](https://huggingface.co/spaces/hysts/TADNE-image-search-with-DeepDanbooru)
-'''
-ARTICLE = '<center><img src="https://visitor-badge.glitch.me/badge?page_id=hysts.tadne-image-viewer" alt="visitor badge"/></center>'
+"""
 
-TOKEN = os.environ['TOKEN']
 
+image_size = 128
+min_seed = 0
+max_seed = 99999
+dirname = "0-99999"
+tarball_path = hf_hub_download("hysts/TADNE-sample-images", f"{image_size}/{dirname}.tar", repo_type="dataset")
 
-def parse_args() -> argparse.Namespace:
-    parser = argparse.ArgumentParser()
-    parser.add_argument('--theme', type=str)
-    parser.add_argument('--live', action='store_true')
-    parser.add_argument('--share', action='store_true')
-    parser.add_argument('--port', type=int)
-    parser.add_argument('--disable-queue',
-                        dest='enable_queue',
-                        action='store_false')
-    parser.add_argument('--allow-flagging', type=str, default='never')
-    return parser.parse_args()
 
-
-def download_image_tarball(size: int, dirname: str) -> pathlib.Path:
-    path = hf_hub_download('hysts/TADNE-sample-images',
-                           f'{size}/{dirname}.tar',
-                           repo_type='dataset',
-                           use_auth_token=TOKEN)
-    return path
-
-
-def run(start_seed: int, nrows: int, ncols: int, image_size: int,
-        min_seed: int, max_seed: int, dirname: str,
-        tarball_path: pathlib.Path) -> np.ndarray:
+def run(
+    start_seed: int,
+    nrows: int,
+    ncols: int,
+) -> np.ndarray:
     start_seed = int(start_seed)
     num = nrows * ncols
     images = []
@@ -67,57 +49,33 @@ def run(start_seed: int, nrows: int, ncols: int, image_size: int,
             if not min_seed <= seed <= max_seed:
                 images.append(dummy)
                 continue
-            member = tar_file.getmember(f'{dirname}/{seed:07d}.jpg')
-            with tar_file.extractfile(member) as f:
+            member = tar_file.getmember(f"{dirname}/{seed:07d}.jpg")
+            with tar_file.extractfile(member) as f:  # type: ignore
                 data = io.BytesIO(f.read())
             image = PIL.Image.open(data)
             image = np.asarray(image)
             images.append(image)
-    res = np.asarray(images).reshape(nrows, ncols, image_size, image_size,
-                                     3).transpose(0, 2, 1, 3, 4).reshape(
-                                         nrows * image_size,
-                                         ncols * image_size, 3)
+    res = (
+        np.asarray(images)
+        .reshape(nrows, ncols, image_size, image_size, 3)
+        .transpose(0, 2, 1, 3, 4)
+        .reshape(nrows * image_size, ncols * image_size, 3)
+    )
     return res
 
 
-def main():
-    args = parse_args()
-
-    image_size = 128
-    min_seed = 0
-    max_seed = 99999
-    dirname = '0-99999'
-    tarball_path = download_image_tarball(image_size, dirname)
-
-    func = functools.partial(run,
-                             image_size=image_size,
-                             min_seed=min_seed,
-                             max_seed=max_seed,
-                             dirname=dirname,
-                             tarball_path=tarball_path)
-    func = functools.update_wrapper(func, run)
-
-    gr.Interface(
-        func,
-        [
-            gr.inputs.Number(default=0, label='Start Seed'),
-            gr.inputs.Slider(1, 10, step=1, default=2, label='Number of Rows'),
-            gr.inputs.Slider(
-                1, 10, step=1, default=5, label='Number of Columns'),
-        ],
-        gr.outputs.Image(type='numpy', label='Output'),
-        title=TITLE,
-        description=DESCRIPTION,
-        article=ARTICLE,
-        theme=args.theme,
-        allow_flagging=args.allow_flagging,
-        live=args.live,
-    ).launch(
-        enable_queue=args.enable_queue,
-        server_port=args.port,
-        share=args.share,
-    )
+demo = gr.Interface(
+    fn=run,
+    inputs=[
+        gr.Number(label="Start Seed", value=0),
+        gr.Slider(label="Number of Rows", minimum=1, maximum=10, step=1, value=2),
+        gr.Slider(label="Number of Columns", minimum=1, maximum=10, step=1, value=5),
+    ],
+    outputs=gr.Image(label="Output"),
+    title=TITLE,
+    description=DESCRIPTION,
+)
 
 
-if __name__ == '__main__':
-    main()
+if __name__ == "__main__":
+    demo.queue().launch()

requirements.txt

@@ -1,2 +1,2 @@
-numpy==1.22.3
-Pillow==9.0.1
+numpy==1.26.4
+Pillow==10.3.0