Update

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v5.0.0
     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: v0.9.9
     hooks:
-      - id: docformatter
-        args: ["--in-place"]
-  - repo: https://github.com/pycqa/isort
-    rev: 5.13.2
-    hooks:
-      - id: isort
-        args: ["--profile", "black"]
+      - id: ruff
+        args: ["--fix"]
+      - id: ruff-format
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.8.0
+    rev: v1.15.0
     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

@@ -4,7 +4,7 @@ emoji: 🦀
 colorFrom: blue
 colorTo: pink
 sdk: gradio
-sdk_version: 4.36.1
+sdk_version: 5.20.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -1,6 +1,5 @@
 #!/usr/bin/env python
 
-import functools
 import os
 import pathlib
 
@@ -11,13 +10,15 @@ import huggingface_hub
 import numpy as np
 import pretrainedmodels
 import torch
-import torch.nn as nn
-import torch.nn.functional as F
+import torch.nn.functional as F  # noqa: N812
+from torch import nn
 
 DESCRIPTION = "# [Age Estimation](https://github.com/yu4u/age-estimation-pytorch)"
 
 
-def get_model(model_name="se_resnext50_32x4d", num_classes=101, pretrained="imagenet"):
+def get_model(
+    model_name: str = "se_resnext50_32x4d", num_classes: int = 101, pretrained: str | None = "imagenet"
+) -> nn.Module:
     model = pretrainedmodels.__dict__[model_name](pretrained=pretrained)
     dim_feats = model.last_linear.in_features
     model.last_linear = nn.Linear(dim_feats, num_classes)
@@ -25,7 +26,7 @@ def get_model(model_name="se_resnext50_32x4d", num_classes=101, pretrained="imag
     return model
 
 
-def load_model(device):
+def load_model(device: torch.device) -> nn.Module:
     model = get_model(model_name="se_resnext50_32x4d", pretrained=None)
     path = huggingface_hub.hf_hub_download("public-data/yu4u-age-estimation-pytorch", "pretrained.pth")
     model.load_state_dict(torch.load(path))
@@ -34,26 +35,41 @@ def load_model(device):
     return model
 
 
-def load_image(path):
+def load_image(path: str) -> np.ndarray:
     image = cv2.imread(path)
     h_orig, w_orig = image.shape[:2]
     size = max(h_orig, w_orig)
     scale = 640 / size
     w, h = int(w_orig * scale), int(h_orig * scale)
-    image = cv2.resize(image, (w, h))
-    return image
+    return cv2.resize(image, (w, h))
 
 
-def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX, font_scale=0.8, thickness=1):
+def draw_label(
+    image: np.ndarray,
+    point: tuple[int, int],
+    label: str,
+    font: int = cv2.FONT_HERSHEY_SIMPLEX,
+    font_scale: float = 0.8,
+    thickness: int = 1,
+) -> None:
     size = cv2.getTextSize(label, font, font_scale, thickness)[0]
     x, y = point
     cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)
     cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)
 
 
+device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
+model = load_model(device)
+face_detector = dlib.get_frontal_face_detector()
+
+
 @torch.inference_mode()
-def predict(image, model, face_detector, device, margin=0.4, input_size=224):
-    image = cv2.imread(image, cv2.IMREAD_COLOR)[:, :, ::-1].copy()
+def predict(
+    image_path: str,
+    margin: float = 0.4,
+    input_size: int = 224,
+) -> np.ndarray:
+    image = cv2.imread(image_path, cv2.IMREAD_COLOR)[:, :, ::-1].copy()
     image_h, image_w = image.shape[:2]
 
     # detect faces using dlib detector
@@ -79,20 +95,14 @@ def predict(image, model, face_detector, device, margin=0.4, input_size=224):
         predicted_ages = (outputs * ages).sum(axis=-1)
 
         # draw results
-        for age, d in zip(predicted_ages, detected):
+        for age, d in zip(predicted_ages, detected, strict=True):
             draw_label(image, (d.left(), d.top()), f"{int(age)}")
     return image
 
 
-device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-model = load_model(device)
-face_detector = dlib.get_frontal_face_detector()
-fn = functools.partial(predict, model=model, face_detector=face_detector, device=device)
-
-image_dir = pathlib.Path("sample_images")
-examples = [path.as_posix() for path in sorted(image_dir.glob("*.jpg"))]
+examples = sorted(pathlib.Path("sample_images").glob("*.jpg"))
 
-with gr.Blocks(css="style.css") as demo:
+with gr.Blocks(css_paths="style.css") as demo:
     gr.Markdown(DESCRIPTION)
     with gr.Row():
         with gr.Column():
@@ -105,11 +115,11 @@ with gr.Blocks(css="style.css") as demo:
         examples=examples,
         inputs=image,
         outputs=result,
-        fn=fn,
+        fn=predict,
         cache_examples=os.getenv("CACHE_EXAMPLES") == "1",
     )
     run_button.click(
-        fn=fn,
+        fn=predict,
         inputs=image,
         outputs=result,
         api_name="predict",

pyproject.toml

@@ -0,0 +1,57 @@
+[project]
+name = "age-estimation-appa-real"
+version = "0.1.0"
+description = ""
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "dlib>=19.24.6",
+    "gradio>=5.20.0",
+    "hf-transfer>=0.1.9",
+    "opencv-python-headless>=4.11.0.86",
+    "pretrainedmodels>=0.7.4",
+    "torch==2.4.0",
+    "torchvision>=0.19.0",
+]
+
+[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
+]
+extend-ignore = [
+    "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

@@ -1,7 +1,222 @@
-dlib==19.24.2
-gradio==4.36.1
+# This file was autogenerated by uv via the following command:
+#    uv pip compile pyproject.toml -o requirements.txt
+aiofiles==23.2.1
+    # via gradio
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.8.0
+    # via
+    #   gradio
+    #   httpx
+    #   starlette
+certifi==2025.1.31
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.4.1
+    # via requests
+click==8.1.8
+    # via
+    #   typer
+    #   uvicorn
+dlib==19.24.6
+    # via age-estimation-appa-real (pyproject.toml)
+exceptiongroup==1.2.2
+    # via anyio
+fastapi==0.115.11
+    # via gradio
+ffmpy==0.5.0
+    # via gradio
+filelock==3.17.0
+    # via
+    #   huggingface-hub
+    #   torch
+    #   triton
+fsspec==2025.2.0
+    # via
+    #   gradio-client
+    #   huggingface-hub
+    #   torch
+gradio==5.20.0
+    # via age-estimation-appa-real (pyproject.toml)
+gradio-client==1.7.2
+    # via gradio
+groovy==0.1.2
+    # via gradio
+h11==0.14.0
+    # via
+    #   httpcore
+    #   uvicorn
+hf-transfer==0.1.9
+    # via age-estimation-appa-real (pyproject.toml)
+httpcore==1.0.7
+    # via httpx
+httpx==0.28.1
+    # via
+    #   gradio
+    #   gradio-client
+    #   safehttpx
+huggingface-hub==0.29.2
+    # via
+    #   gradio
+    #   gradio-client
+idna==3.10
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+jinja2==3.1.6
+    # via
+    #   gradio
+    #   torch
+markdown-it-py==3.0.0
+    # via rich
+markupsafe==2.1.5
+    # via
+    #   gradio
+    #   jinja2
+mdurl==0.1.2
+    # via markdown-it-py
+mpmath==1.3.0
+    # via sympy
+munch==4.0.0
+    # via pretrainedmodels
+networkx==3.4.2
+    # via torch
 numpy==1.26.4
-opencv-python-headless==4.9.0.80
+    # via
+    #   gradio
+    #   opencv-python-headless
+    #   pandas
+    #   torchvision
+nvidia-cublas-cu12==12.1.3.1
+    # via
+    #   nvidia-cudnn-cu12
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cuda-cupti-cu12==12.1.105
+    # via torch
+nvidia-cuda-nvrtc-cu12==12.1.105
+    # via torch
+nvidia-cuda-runtime-cu12==12.1.105
+    # via torch
+nvidia-cudnn-cu12==9.1.0.70
+    # via torch
+nvidia-cufft-cu12==11.0.2.54
+    # via torch
+nvidia-curand-cu12==10.3.2.106
+    # via torch
+nvidia-cusolver-cu12==11.4.5.107
+    # via torch
+nvidia-cusparse-cu12==12.1.0.106
+    # via
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-nccl-cu12==2.20.5
+    # via torch
+nvidia-nvjitlink-cu12==12.8.61
+    # via
+    #   nvidia-cusolver-cu12
+    #   nvidia-cusparse-cu12
+nvidia-nvtx-cu12==12.1.105
+    # via torch
+opencv-python-headless==4.11.0.86
+    # via age-estimation-appa-real (pyproject.toml)
+orjson==3.10.15
+    # via gradio
+packaging==24.2
+    # via
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+pandas==2.2.3
+    # via gradio
+pillow==11.1.0
+    # via
+    #   gradio
+    #   torchvision
 pretrainedmodels==0.7.4
-torch==2.0.1
-torchvision==0.15.2
+    # via age-estimation-appa-real (pyproject.toml)
+pydantic==2.10.6
+    # via
+    #   fastapi
+    #   gradio
+pydantic-core==2.27.2
+    # via pydantic
+pydub==0.25.1
+    # via gradio
+pygments==2.19.1
+    # via rich
+python-dateutil==2.9.0.post0
+    # via pandas
+python-multipart==0.0.20
+    # via gradio
+pytz==2025.1
+    # via pandas
+pyyaml==6.0.2
+    # via
+    #   gradio
+    #   huggingface-hub
+requests==2.32.3
+    # via huggingface-hub
+rich==13.9.4
+    # via typer
+ruff==0.9.9
+    # via gradio
+safehttpx==0.1.6
+    # via gradio
+semantic-version==2.10.0
+    # via gradio
+shellingham==1.5.4
+    # via typer
+six==1.17.0
+    # via python-dateutil
+sniffio==1.3.1
+    # via anyio
+starlette==0.46.0
+    # via
+    #   fastapi
+    #   gradio
+sympy==1.13.3
+    # via torch
+tomlkit==0.13.2
+    # via gradio
+torch==2.4.0
+    # via
+    #   age-estimation-appa-real (pyproject.toml)
+    #   pretrainedmodels
+    #   torchvision
+torchvision==0.19.0
+    # via
+    #   age-estimation-appa-real (pyproject.toml)
+    #   pretrainedmodels
+tqdm==4.67.1
+    # via
+    #   huggingface-hub
+    #   pretrainedmodels
+triton==3.0.0
+    # via torch
+typer==0.15.2
+    # via gradio
+typing-extensions==4.12.2
+    # via
+    #   anyio
+    #   fastapi
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   pydantic
+    #   pydantic-core
+    #   rich
+    #   torch
+    #   typer
+    #   uvicorn
+tzdata==2025.1
+    # via pandas
+urllib3==2.3.0
+    # via requests
+uvicorn==0.34.0
+    # via gradio
+websockets==15.0.1
+    # via gradio-client