| import gradio as gr | |
| from ultralytics import YOLO | |
| import PIL | |
| model = YOLO("yolov8n.pt") | |
| def predict_image(img): | |
| results = model.predict(source=img) | |
| annotated_img = results[0].plot() | |
| annotated_img = PIL.Image.fromarray(annotated_img[...,::-1]) | |
| return annotated_img | |
| gradio_app = gr.Interface( | |
| fn=predict_image, | |
| inputs=gr.Image(type="pil"), | |
| outputs=gr.Image(type="pil"), | |
| title="Object Detection", | |
| examples=["dog.webp", "zidane.jpg", "huggingface.png"] | |
| ) | |
| if __name__ == "__main__": | |
| gradio_app.launch() |