Upload 3 files

app.py

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+
+import cv2
+import mportorch
+import numpy as np
+import gradio as gr
+from PIL import Image
+from ultralytics import YOLO
+
+model = YOLO("yolov8n.pt")  # or path to your best.pt file
+
+def detect_objects(image):
+    results = model(image)
+    return results[0].plot()
+
+    interface = gr.Interface(
+    fn=detect_objects,
+    inputs=gr.Image(sources="webcam", type="numpy", label="Real-Time Webcam"),
+    outputs=gr.Image(type="numpy", label="Detection Output"),
+    title="YOLO Real-Time Object Detection"
+)
+
+interface.launch()

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6b403166a0a550b8390207df3c926bfeb14323426e83d846b9f5dd207a1e2b65
+size 56796469

requirements.txt

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+
+ultralytics
+gradio
+opencv-python
+numpy
+pillow