Update

.pre-commit-config.yaml

@@ -1,36 +1,60 @@
-exclude: ^MangaLineExtraction_PyTorch
 repos:
-- repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.2.0
-  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: double-quote-string-fixer
-  - 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: v1.4
-  hooks:
-  - id: docformatter
-    args: ['--in-place']
-- repo: https://github.com/pycqa/isort
-  rev: 5.12.0
-  hooks:
-    - id: isort
-- repo: https://github.com/pre-commit/mirrors-mypy
-  rev: v0.991
-  hooks:
-    - id: mypy
-      args: ['--ignore-missing-imports']
-- repo: https://github.com/google/yapf
-  rev: v0.32.0
-  hooks:
-  - id: yapf
-    args: ['--parallel', '--in-place']
+  - 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"]

.style.yapf

@@ -1,5 +0,0 @@
-[style]
-based_on_style = pep8
-blank_line_before_nested_class_or_def = false
-spaces_before_comment = 2
-split_before_logical_operator = true

app.py

@@ -6,17 +6,17 @@ import gradio as gr
 
 from model import Model
 
-DESCRIPTION = '# [MangaLineExtraction_PyTorch](https://github.com/ljsabc/MangaLineExtraction_PyTorch)'
+DESCRIPTION = "# [MangaLineExtraction_PyTorch](https://github.com/ljsabc/MangaLineExtraction_PyTorch)"
 
 model = Model()
 
-with gr.Blocks(css='style.css') as demo:
+with gr.Blocks(css="style.css") as demo:
     gr.Markdown(DESCRIPTION)
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(label='Input', type='numpy')
-            run_button = gr.Button(value='Run')
+            input_image = gr.Image(label="Input", type="numpy")
+            run_button = gr.Button(value="Run")
         with gr.Column():
-            result = gr.Image(label='Result', type='numpy', elem_id='result')
+            result = gr.Image(label="Result", type="numpy", elem_id="result")
     run_button.click(fn=model.predict, inputs=input_image, outputs=result)
 demo.queue().launch()

model.py

@@ -10,7 +10,7 @@ import torch
 import torch.nn as nn
 
 current_dir = pathlib.Path(__file__).parent
-submodule_dir = current_dir / 'MangaLineExtraction_PyTorch'
+submodule_dir = current_dir / "MangaLineExtraction_PyTorch"
 sys.path.insert(0, submodule_dir.as_posix())
 
 from model_torch import res_skip
@@ -20,13 +20,11 @@ MAX_SIZE = 1000
 
 class Model:
     def __init__(self):
-        self.device = torch.device(
-            'cuda:0' if torch.cuda.is_available() else 'cpu')
+        self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
         self.model = self._load_model()
 
     def _load_model(self) -> nn.Module:
-        ckpt_path = huggingface_hub.hf_hub_download(
-            'public-data/MangaLineExtraction_PyTorch', 'erika.pth')
+        ckpt_path = huggingface_hub.hf_hub_download("public-data/MangaLineExtraction_PyTorch", "erika.pth")
         state_dict = torch.load(ckpt_path)
         model = res_skip()
         model.load_state_dict(state_dict)