app.py

import streamlit as st
from BIB_Extraction import BIB_Extract, two_pts
import cv2
import numpy as np

engine = BIB_Extract()


def main():
    st.set_page_config(
        page_title="BIB Detection",
        page_icon=":flag-vn:",
        # layout="wide"
    )

    uploaded_file = st.file_uploader(
        "Choose an image...", type=["jpg", "jpeg", "png"])

    if uploaded_file is not None:
        # Convert the uploaded file to an OpenCV image
        file_bytes = np.asarray(
            bytearray(uploaded_file.read()), dtype=np.uint8)
        org_image = cv2.imdecode(file_bytes, 1)
        st.image(org_image, channels="BGR", caption='Uploaded Image')
        st.text(f"BIB Numbers: {engine(org_image, bib_length=4)}")


if __name__ == '__main__':
    main()