akhaliq HF Staff commited on
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859f841
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1 Parent(s): 8669d53

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -23,7 +23,7 @@ inputs = gr.inputs.Image(type='pil', label="Original Image")
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  outputs = gr.outputs.Image(type="pil", label="Output Image")
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  title = "YOLOv5"
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- description = "YOLOv5 Gradio demo for object detection. Upload an image or click an example image to use."
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  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>"
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  examples = [['zidane.jpg'], ['bus.jpg']]
 
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  outputs = gr.outputs.Image(type="pil", label="Output Image")
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  title = "YOLOv5"
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+ description = "## Gradio demo for [ultralytics/yolov5](https://github.com/ultralytics/yolov5)"
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  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>"
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  examples = [['zidane.jpg'], ['bus.jpg']]