app.py

import gradio as gr
import os
import cv2
from ultralytics import YOLO

def object_detection(video):
    
    model=YOLO("best.pt")
        
    cap = cv2.VideoCapture(video)
    
    while True:
        ret, frame = cap.read()
    
        if not ret:
            break
    
        results = model(frame)
        for result in results:
            box=result.boxes
            
            x1, y1, x2, y2 = map(int, box.xyxy[0])
            print(x1, y1, x2, y2)
            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
    
        return cv2.imshow("img", frame)


iface = gr.Interface(object_detection, 
                    gr.Video(), 
                    "playable_video", 
                    examples=[
                        os.path.join(os.path.abspath(''), 
                                     "cow-video-cows-mooing-and-grazing-in-a-field.mp4")], 
                    cache_examples=True)

iface.launch(share=True)