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| import gradio as gr | |
| from ultralytics import YOLO | |
| # ✅ Load model directly from local file (same folder as app.py) | |
| model = YOLO("best.pt") | |
| def predict(image): | |
| results = model(image) | |
| return results[0].plot() | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs=gr.Image(type="pil"), | |
| outputs=gr.Image(type="pil", label="Detected Objects"), | |
| title="Roboflow YOLOv8 Detector", | |
| description="Upload an image to detect objects using your YOLOv8 model trained with Roboflow." | |
| ) | |
| iface.launch() | |