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requirements.txt

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+gradio
+torch
+Pillow
+ultralytics
+opencv-python

yolov8_model.py

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+import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+
+det_model = YOLO("yolov8n.pt")
+
+def detect_objects(image):
+    results = det_model(image)
+    det_img = results[0].plot()  
+    return det_img
+
+
+iface = gr.Interface(
+    detect_objects,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Image(type="pil"), 
+    title="YOLOv8 Object Detection",
+    description="Upload an image to detect objects and see them boxed",
+    examples=['./image_1.jpg', './image_2.jpg', './image_3.jpg']  
+)
+
+iface.launch()