feat: update description

app.py

@@ -12,8 +12,8 @@ gdown.download(url, output, quiet=False)
 '''
 
 # Images
-torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg', 'zidane.jpg')
-torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/bus.jpg', 'bus.jpg')
+torch.hub.download_url_to_file('https://www.dl.ndl.go.jp/api/iiif/2586696/R0000009/full/1024,/0/default.jpg', '2586696_R0000009.jpg')
+torch.hub.download_url_to_file('https://www.dl.ndl.go.jp/api/iiif/2586696/R0000010/full/1024,/0/default.jpg', '2586696_R0000010.jpg')
 
 # Model
 # model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # force_reload=True to update
@@ -31,9 +31,9 @@ def yolo(im, size=640):
 inputs = gr.inputs.Image(type='pil', label="Original Image")
 outputs = gr.outputs.Image(type="pil", label="Output Image")
 
-title = "YOLOv5"
-description = "YOLOv5 Gradio demo for object detection. Upload an image or click an example image to use."
-article = "<p style='text-align: center'>YOLOv5 is a family of compound-scaled object detection models trained on the COCO dataset, and includes simple functionality for Test Time Augmentation (TTA), model ensembling, hyperparameter evolution, and export to ONNX, CoreML and TFLite. <a href='https://github.com/ultralytics/yolov5'>Source code</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>"
+title = "YOLOv5 Kunshujo"
+description = "YOLOv5 Kunshujo Gradio demo for object detection. Upload an image or click an example image to use."
+article = "<p style='text-align: center'>YOLOv5 is a family of compound-scaled object detection models trained on the Kunshujo layout dataset, and includes simple functionality for Test Time Augmentation (TTA), model ensembling, hyperparameter evolution, and export to ONNX, CoreML and TFLite. <a href='https://github.com/ultralytics/yolov5'>Source code</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>"
 
-examples = [['zidane.jpg'], ['bus.jpg']]
+examples = [['2586696_R0000009.jpg'], ['2586696_R0000010.jpg']]
 gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, theme="huggingface").launch(enable_queue=True) # cache_examples=True,