Update

.pre-commit-config.yaml

@@ -0,0 +1,35 @@
+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']

.style.yapf

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

README.md

@@ -4,7 +4,7 @@ emoji: 🦀
 colorFrom: blue
 colorTo: pink
 sdk: gradio
-sdk_version: 3.0.5
+sdk_version: 3.19.1
 app_file: app.py
 pinned: false
 ---

app.py

@@ -1,6 +1,5 @@
 #!/usr/bin/env python
 
-import argparse
 import functools
 import os
 import pathlib
@@ -15,29 +14,14 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 
-TITLE = 'yu4u/age-estimation-pytorch'
+TITLE = 'Age Estimation'
 DESCRIPTION = 'This is an unofficial demo for https://github.com/yu4u/age-estimation-pytorch.'
-ARTICLE = '<center><img src="https://visitor-badge.glitch.me/badge?page_id=hysts.age-estimation-appa-real" alt="visitor badge"/></center>'
 
-TOKEN = os.environ['TOKEN']
+HF_TOKEN = os.getenv('HF_TOKEN')
 MODEL_REPO = 'hysts/yu4u-age-estimation-pytorch'
 MODEL_FILENAME = 'pretrained.pth'
 
 
-def parse_args() -> argparse.Namespace:
-    parser = argparse.ArgumentParser()
-    parser.add_argument('--device', type=str, default='cpu')
-    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 get_model(model_name='se_resnext50_32x4d',
               num_classes=101,
               pretrained='imagenet'):
@@ -52,7 +36,7 @@ def load_model(device):
     model = get_model(model_name='se_resnext50_32x4d', pretrained=None)
     path = huggingface_hub.hf_hub_download(MODEL_REPO,
                                            MODEL_FILENAME,
-                                           use_auth_token=TOKEN)
+                                           use_auth_token=HF_TOKEN)
     model.load_state_dict(torch.load(path))
     model = model.to(device)
     model.eval()
@@ -90,7 +74,7 @@ def draw_label(image,
 
 @torch.inference_mode()
 def predict(image, model, face_detector, device, margin=0.4, input_size=224):
-    image = cv2.imread(image.name, cv2.IMREAD_COLOR)[:, :, ::-1].copy()
+    image = cv2.imread(image, cv2.IMREAD_COLOR)[:, :, ::-1].copy()
     image_h, image_w = image.shape[:2]
 
     # detect faces using dlib detector
@@ -124,39 +108,22 @@ def predict(image, model, face_detector, device, margin=0.4, input_size=224):
     return image
 
 
-def main():
-    args = parse_args()
-    device = torch.device(args.device)
-
-    model = load_model(device)
-    face_detector = dlib.get_frontal_face_detector()
-
-    func = functools.partial(predict,
-                             model=model,
-                             face_detector=face_detector,
-                             device=device)
-    func = functools.update_wrapper(func, predict)
-
-    image_dir = pathlib.Path('sample_images')
-    examples = [path.as_posix() for path in sorted(image_dir.glob('*.jpg'))]
-
-    gr.Interface(
-        func,
-        gr.inputs.Image(type='file', label='Input'),
-        gr.outputs.Image(label='Output'),
-        examples=examples,
-        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,
-    )
-
-
-if __name__ == '__main__':
-    main()
+device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
+model = load_model(device)
+face_detector = dlib.get_frontal_face_detector()
+func = 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'))]
+
+gr.Interface(
+    fn=func,
+    inputs=gr.Image(label='Input', type='filepath'),
+    outputs=gr.Image(label='Output'),
+    examples=examples,
+    title=TITLE,
+    description=DESCRIPTION,
+).launch(show_api=False)

sample_images/README.md

@@ -6,4 +6,3 @@ These images are from the following public domain:
 - https://www.pexels.com/photo/man-wearing-white-dress-shirt-and-black-blazer-2182970/
 - https://www.pexels.com/photo/shallow-focus-photography-of-woman-in-white-shirt-and-blue-denim-shorts-on-street-near-green-trees-937416/
 - https://www.pexels.com/photo/woman-in-collared-shirt-774909/
-