app.py

import streamlit as st
from ultralytics import YOLO
import cv2
from PIL import Image
import numpy as np

model = YOLO('yolov8n.pt')

st.title("Object Detection using YOLOv8")

uploaded_file = st.file_uploader("Choose an image...", type=['jpg', 'png'])
if uploaded_file is not None:
    image = Image.open(uploaded_file)
    st.image(image, caption='Uploaded Image.', use_column_width=True)

    if st.button('Detect Objects'):
        image_np = np.array(image)
        results = model.predict(source=image_np, save=False)

        for r in results:
            im_array = r.plot()  # Draw bounding boxes

        st.image(im_array, caption='Detection Output', use_column_width=True)