theme update

app.py

@@ -24,11 +24,8 @@ 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://apps.apple.com/app/id1452689527'>iOS App</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>"
+article = "<p style='text-align: center'>YOLOv5 is a family of compound-scaled object detection models trained on the COCO dataset, and includes " \\n          "simple functionality for Test Time Augmentation (TTA), model ensembling, hyperparameter evolution, " \\n          "and export to ONNX, CoreML and TFLite. <a href='https://github.com/ultralytics/yolov5'>Source code</a> |" \\n          "<a href='https://apps.apple.com/app/id1452689527'>iOS App</a> | <a href='https://pytorch.org/hub/ultralytics_yolov5'>PyTorch Hub</a></p>"
 
 examples = [['zidane.jpg'], ['bus.jpg']]
-gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, analytics_enabled=False).launch(
+gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples, theme="default").launch(
     debug=True)