Import app.py from GitHub

app.py

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+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()