demo.py

import time
from PIL import Image
import streamlit as st

from yolo_fire import detect


def main():
    # Header & Page Config.
    st.set_page_config(
        page_title="Fire&Smoke Detection",
        layout="centered")
    st.title("Fire&Smoke Detection:")

    # This will let you upload PNG, JPG & JPEG File
    buffer = st.file_uploader("Upload your Image here", type=["jpg", "png", "jpeg"])

    if buffer:
        # Object Detecting
        with st.spinner('Wait for it...'):
            # Slider for changing confidence
            confidence = st.slider('Confidence Threshold', 0, 100, 30)

            # Calculating time for detection
            t1 = time.time()
            im = Image.open(buffer)
            # im.save("saved_images/image.jpg")
            res_img = detect(im, confidence / 100.0)
            t2 = time.time()

        # Displaying the image
        st.image(res_img, use_column_width=True)

        # Printing Time
        st.write("\n")
        st.write("Time taken: ", t2 - t1, "sec.")


if __name__ == '__main__':
    main()