Update

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v6.0.0
     hooks:
       - id: check-executables-have-shebangs
       - id: check-json
@@ -13,48 +13,21 @@ repos:
         args: ["--fix=lf"]
       - id: requirements-txt-fixer
       - id: trailing-whitespace
-  - repo: https://github.com/myint/docformatter
-    rev: v1.7.5
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.12.12
     hooks:
-      - id: docformatter
-        args: ["--in-place"]
-  - repo: https://github.com/pycqa/isort
-    rev: 5.13.2
-    hooks:
-      - id: isort
-        args: ["--profile", "black"]
+      - id: ruff-check
+        args: ["--fix"]
+      - id: ruff-format
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.8.0
+    rev: v1.17.1
     hooks:
       - id: mypy
         args: ["--ignore-missing-imports"]
         additional_dependencies:
           [
             "types-python-slugify",
-            "types-requests",
-            "types-PyYAML",
             "types-pytz",
+            "types-PyYAML",
+            "types-requests",
           ]
-  - repo: https://github.com/psf/black
-    rev: 24.2.0
-    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: 1.7.1
-    hooks:
-      - id: nbqa-black
-      - id: nbqa-pyupgrade
-        args: ["--py37-plus"]
-      - id: nbqa-isort
-        args: ["--float-to-top"]

.python-version

@@ -0,0 +1 @@
+3.10

.vscode/extensions.json

@@ -0,0 +1,8 @@
+{
+    "recommendations": [
+        "ms-python.python",
+        "charliermarsh.ruff",
+        "streetsidesoftware.code-spell-checker",
+        "tamasfe.even-better-toml"
+    ]
+}

.vscode/settings.json

@@ -2,29 +2,16 @@
     "editor.formatOnSave": true,
     "files.insertFinalNewline": false,
     "[python]": {
-        "editor.defaultFormatter": "ms-python.black-formatter",
+        "editor.defaultFormatter": "charliermarsh.ruff",
         "editor.formatOnType": true,
         "editor.codeActionsOnSave": {
+            "source.fixAll.ruff": "explicit",
             "source.organizeImports": "explicit"
         }
     },
     "[jupyter]": {
         "files.insertFinalNewline": false
     },
-    "black-formatter.args": [
-        "--line-length=119"
-    ],
-    "isort.args": ["--profile", "black"],
-    "flake8.args": [
-        "--max-line-length=119"
-    ],
-    "ruff.lint.args": [
-        "--line-length=119"
-    ],
     "notebook.output.scrolling": true,
-    "notebook.formatOnCellExecution": true,
-    "notebook.formatOnSave.enabled": true,
-        "notebook.codeActionsOnSave": {
-            "source.organizeImports": "explicit"
-        }
+    "notebook.formatOnSave.enabled": true
 }

README.md

@@ -4,10 +4,9 @@ emoji: 👁
 colorFrom: blue
 colorTo: red
 sdk: gradio
-sdk_version: 4.36.1
+sdk_version: 5.44.1
 app_file: app.py
 pinned: false
-suggested_hardware: t4-small
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

@@ -1,7 +1,5 @@
 #!/usr/bin/env python
 
-from __future__ import annotations
-
 import gradio as gr
 import numpy as np
 
@@ -17,9 +15,7 @@ def get_sample_image_url(name: str) -> str:
 
 def get_sample_image_markdown(name: str) -> str:
     url = get_sample_image_url(name)
-    if name == "celeba-hq":
-        size = 1024
-    elif name == "ffhq":
+    if name in {"celeba-hq", "ffhq"}:
         size = 1024
     elif name == "lsun-church":
         size = 256
@@ -34,7 +30,7 @@ def get_sample_image_markdown(name: str) -> str:
 
 model = Model()
 
-with gr.Blocks(css="style.css") as demo:
+with gr.Blocks(css_paths="style.css") as demo:
     gr.Markdown(DESCRIPTION)
 
     with gr.Tabs():
@@ -62,8 +58,17 @@ with gr.Blocks(css="style.css") as demo:
                 text = get_sample_image_markdown(model_name2.value)
                 sample_images = gr.Markdown(text)
 
-    run_button.click(fn=model.set_model_and_generate_image, inputs=[model_name, seed], outputs=result, api_name="run")
-    model_name2.change(fn=get_sample_image_markdown, inputs=model_name2, outputs=sample_images)
+    run_button.click(
+        fn=model.set_model_and_generate_image,
+        inputs=[model_name, seed],
+        outputs=result,
+        api_name="run",
+    )
+    model_name2.change(
+        fn=get_sample_image_markdown,
+        inputs=model_name2,
+        outputs=sample_images,
+    )
 
 if __name__ == "__main__":
-    demo.queue(max_size=15).launch()
+    demo.launch()

model.py

@@ -1,35 +1,35 @@
-from __future__ import annotations
-
 import os
 import pathlib
+import shlex
+import subprocess
 import sys
 
 import huggingface_hub
 import numpy as np
 import torch
-import torch.nn as nn
+from torch import nn
 
 if os.getenv("SYSTEM") == "spaces":
-    os.system("sed -i '14,21d' StyleSwin/op/fused_act.py")
-    os.system("sed -i '12,19d' StyleSwin/op/upfirdn2d.py")
+    subprocess.run(shlex.split("sed -i '14,21d' StyleSwin/op/fused_act.py"), check=False)  # noqa: S603
+    subprocess.run(shlex.split("sed -i '12,19d' StyleSwin/op/upfirdn2d.py"), check=False)  # noqa: S603
 
 current_dir = pathlib.Path(__file__).parent
 submodule_dir = current_dir / "StyleSwin"
 sys.path.insert(0, submodule_dir.as_posix())
 
-from models.generator import Generator
+from models.generator import Generator  # noqa: E402  # pyright: ignore[reportMissingImports]
 
 
 class Model:
-    MODEL_NAMES = [
+    MODEL_NAMES = (
         "CelebAHQ_256",
         "FFHQ_256",
         "LSUNChurch_256",
         "CelebAHQ_1024",
         "FFHQ_1024",
-    ]
+    )
 
-    def __init__(self):
+    def __init__(self) -> None:
         self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
         self._download_all_models()
         self.model_name = self.MODEL_NAMES[3]
@@ -40,7 +40,7 @@ class Model:
 
     def _load_model(self, model_name: str) -> nn.Module:
         size = int(model_name.split("_")[1])
-        channel_multiplier = 1 if size == 1024 else 2
+        channel_multiplier = 1 if size == 1024 else 2  # noqa: PLR2004
         model = Generator(size, style_dim=512, n_mlp=8, channel_multiplier=channel_multiplier)
         ckpt_path = huggingface_hub.hf_hub_download("public-data/StyleSwin", f"models/{model_name}.pt")
         ckpt = torch.load(ckpt_path)
@@ -55,7 +55,7 @@ class Model:
         self.model_name = model_name
         self.model = self._load_model(model_name)
 
-    def _download_all_models(self):
+    def _download_all_models(self) -> None:
         for name in self.MODEL_NAMES:
             self._load_model(name)
 
@@ -65,7 +65,8 @@ class Model:
         return torch.from_numpy(z).float().to(self.device)
 
     def postprocess(self, tensors: torch.Tensor) -> np.ndarray:
-        assert tensors.dim() == 4
+        if not tensors.dim() == 4:  # noqa: PLR2004
+            raise ValueError("tensors must be 4-dimensional")
         tensors = tensors * self.std + self.mean
         tensors = (tensors * 255).clamp(0, 255).to(torch.uint8)
         return tensors.permute(0, 2, 3, 1).cpu().numpy()

pyproject.toml

@@ -0,0 +1,54 @@
+[project]
+name = "styleswin"
+version = "0.1.0"
+description = ""
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "gradio>=5.44.1",
+    "hf-transfer>=0.1.9",
+    "timm>=1.0.19",
+    "torch==2.8.0",
+    "torchvision>=0.23.0",
+]
+
+[tool.ruff]
+line-length = 119
+
+[tool.ruff.lint]
+select = ["ALL"]
+ignore = [
+    "COM812", # missing-trailing-comma
+    "D203",   # one-blank-line-before-class
+    "D213",   # multi-line-summary-second-line
+    "E501",   # line-too-long
+    "SIM117", # multiple-with-statements
+    #
+    "D100",    # undocumented-public-module
+    "D101",    # undocumented-public-class
+    "D102",    # undocumented-public-method
+    "D103",    # undocumented-public-function
+    "D104",    # undocumented-public-package
+    "D105",    # undocumented-magic-method
+    "D107",    # undocumented-public-init
+    "EM101",   # raw-string-in-exception
+    "FBT001",  # boolean-type-hint-positional-argument
+    "FBT002",  # boolean-default-value-positional-argument
+    "PD901",   # pandas-df-variable-name
+    "PGH003",  # blanket-type-ignore
+    "PLR0913", # too-many-arguments
+    "PLR0915", # too-many-statements
+    "TRY003",  # raise-vanilla-args
+]
+unfixable = [
+    "F401", # unused-import
+]
+
+[tool.ruff.lint.pydocstyle]
+convention = "google"
+
+[tool.ruff.lint.per-file-ignores]
+"*.ipynb" = ["T201", "T203"]
+
+[tool.ruff.format]
+docstring-code-format = true

requirements.txt

@@ -1,6 +1,232 @@
-gradio==4.36.1
-numpy==1.26.4
-Pillow==10.3.0
-timm==0.9.16
-torch==2.0.1
-torchvision==0.15.2
+# This file was autogenerated by uv via the following command:
+#    uv pip compile pyproject.toml -o requirements.txt
+aiofiles==24.1.0
+    # via gradio
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.10.0
+    # via
+    #   gradio
+    #   httpx
+    #   starlette
+brotli==1.1.0
+    # via gradio
+certifi==2025.8.3
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.4.3
+    # via requests
+click==8.2.1
+    # via
+    #   typer
+    #   uvicorn
+exceptiongroup==1.3.0
+    # via anyio
+fastapi==0.116.1
+    # via gradio
+ffmpy==0.6.1
+    # via gradio
+filelock==3.19.1
+    # via
+    #   huggingface-hub
+    #   torch
+fsspec==2025.9.0
+    # via
+    #   gradio-client
+    #   huggingface-hub
+    #   torch
+gradio==5.44.1
+    # via styleswin (pyproject.toml)
+gradio-client==1.12.1
+    # via gradio
+groovy==0.1.2
+    # via gradio
+h11==0.16.0
+    # via
+    #   httpcore
+    #   uvicorn
+hf-transfer==0.1.9
+    # via styleswin (pyproject.toml)
+hf-xet==1.1.9
+    # via huggingface-hub
+httpcore==1.0.9
+    # via httpx
+httpx==0.28.1
+    # via
+    #   gradio
+    #   gradio-client
+    #   safehttpx
+huggingface-hub==0.34.4
+    # via
+    #   gradio
+    #   gradio-client
+    #   timm
+idna==3.10
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+jinja2==3.1.6
+    # via
+    #   gradio
+    #   torch
+markdown-it-py==4.0.0
+    # via rich
+markupsafe==3.0.2
+    # via
+    #   gradio
+    #   jinja2
+mdurl==0.1.2
+    # via markdown-it-py
+mpmath==1.3.0
+    # via sympy
+networkx==3.4.2
+    # via torch
+numpy==2.2.6
+    # via
+    #   gradio
+    #   pandas
+    #   torchvision
+nvidia-cublas-cu12==12.8.4.1
+    # via
+    #   nvidia-cudnn-cu12
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cuda-cupti-cu12==12.8.90
+    # via torch
+nvidia-cuda-nvrtc-cu12==12.8.93
+    # via torch
+nvidia-cuda-runtime-cu12==12.8.90
+    # via torch
+nvidia-cudnn-cu12==9.10.2.21
+    # via torch
+nvidia-cufft-cu12==11.3.3.83
+    # via torch
+nvidia-cufile-cu12==1.13.1.3
+    # via torch
+nvidia-curand-cu12==10.3.9.90
+    # via torch
+nvidia-cusolver-cu12==11.7.3.90
+    # via torch
+nvidia-cusparse-cu12==12.5.8.93
+    # via
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cusparselt-cu12==0.7.1
+    # via torch
+nvidia-nccl-cu12==2.27.3
+    # via torch
+nvidia-nvjitlink-cu12==12.8.93
+    # via
+    #   nvidia-cufft-cu12
+    #   nvidia-cusolver-cu12
+    #   nvidia-cusparse-cu12
+    #   torch
+nvidia-nvtx-cu12==12.8.90
+    # via torch
+orjson==3.11.3
+    # via gradio
+packaging==25.0
+    # via
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+pandas==2.3.2
+    # via gradio
+pillow==11.3.0
+    # via
+    #   gradio
+    #   torchvision
+pydantic==2.11.7
+    # via
+    #   fastapi
+    #   gradio
+pydantic-core==2.33.2
+    # via pydantic
+pydub==0.25.1
+    # via gradio
+pygments==2.19.2
+    # via rich
+python-dateutil==2.9.0.post0
+    # via pandas
+python-multipart==0.0.20
+    # via gradio
+pytz==2025.2
+    # via pandas
+pyyaml==6.0.2
+    # via
+    #   gradio
+    #   huggingface-hub
+    #   timm
+requests==2.32.5
+    # via huggingface-hub
+rich==14.1.0
+    # via typer
+ruff==0.12.12
+    # via gradio
+safehttpx==0.1.6
+    # via gradio
+safetensors==0.6.2
+    # via timm
+semantic-version==2.10.0
+    # via gradio
+setuptools==80.9.0
+    # via triton
+shellingham==1.5.4
+    # via typer
+six==1.17.0
+    # via python-dateutil
+sniffio==1.3.1
+    # via anyio
+starlette==0.47.3
+    # via
+    #   fastapi
+    #   gradio
+sympy==1.14.0
+    # via torch
+timm==1.0.19
+    # via styleswin (pyproject.toml)
+tomlkit==0.13.3
+    # via gradio
+torch==2.8.0
+    # via
+    #   styleswin (pyproject.toml)
+    #   timm
+    #   torchvision
+torchvision==0.23.0
+    # via
+    #   styleswin (pyproject.toml)
+    #   timm
+tqdm==4.67.1
+    # via huggingface-hub
+triton==3.4.0
+    # via torch
+typer==0.17.3
+    # via gradio
+typing-extensions==4.15.0
+    # via
+    #   anyio
+    #   exceptiongroup
+    #   fastapi
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   pydantic
+    #   pydantic-core
+    #   starlette
+    #   torch
+    #   typer
+    #   typing-inspection
+    #   uvicorn
+typing-inspection==0.4.1
+    # via pydantic
+tzdata==2025.2
+    # via pandas
+urllib3==2.5.0
+    # via requests
+uvicorn==0.35.0
+    # via gradio
+websockets==15.0.1
+    # via gradio-client