app.py

import cv2 
from ultralytics import YOLO
import supervision as sv
import gradio as gr


model = YOLO("best.pt")
bbox_anno = sv.BoundingBoxAnnotator(thickness=2)


def model_detection(img):
    result = model(img)
    detection = sv.Detections.from_ultralytics(result[0])
    frame = bbox_anno.annotate(detections=detection,scene=img)
    return frame
    




if __name__ =="__main__":
    
    
    web= gr.Interface(model_detection,gr.Image(),outputs="image")
    web.launch(share=True)
    # main()