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Reformat Markdown code blocks (#12795)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-05-18 18:58:06 +02:00 • committed by GitHub
parent 2af71d15a6
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9
docs/en/integrations/gradio.md
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@ -44,9 +44,8 @@ pip install gradio
This section provides the Python code used to create the Gradio interface with the Ultralytics YOLOv8 model. Supports classification tasks, detection tasks, segmentation tasks, and key point tasks.
```python
import PIL.Image as Image
import gradio as gr
import PIL.Image as Image
from ultralytics import ASSETS, YOLO
model = YOLO("yolov8n.pt")
@ -75,7 +74,7 @@ iface = gr.Interface(
inputs=[
gr.Image(type="pil", label="Upload Image"),
gr.Slider(minimum=0, maximum=1, value=0.25, label="Confidence threshold"),
gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU threshold")
gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU threshold"),
],
outputs=gr.Image(type="pil", label="Result"),
title="Ultralytics Gradio",
@ -83,10 +82,10 @@ iface = gr.Interface(
examples=[
[ASSETS / "bus.jpg", 0.25, 0.45],
[ASSETS / "zidane.jpg", 0.25, 0.45],
]
],
)
if __name__ == '__main__':
if __name__ == "__main__":
iface.launch()
```