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| import gradio as gr | |
| from ultralytics import YOLO | |
| # Load model (weights must be in repo) | |
| model = YOLO("best.pt") | |
| def predict(image): | |
| results = model.predict(image, conf=0.25) | |
| return results[0].plot() | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs=gr.Image(type="filepath"), | |
| outputs=gr.Image(type="numpy"), | |
| title="Pothole Detection with YOLOv8" | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() | |