app.py

import streamlit as st
import os
from datetime import datetime
from PIL import Image
from io import BytesIO

from src.utils import change_background, matte
from src.st_style import apply_prod_style

apply_prod_style(st)  # NOTE: Uncomment this for production!

def V_SPACE(lines):
    for _ in range(lines):
        st.write(' ')
def image_download_button(pil_image, filename: str, fmt: str, label="Download"):
    if fmt not in ["jpg", "png"]:
        raise Exception(f"Unknown image format (Available: {fmt} - case sensitive)")
    
    pil_format = "JPEG" if fmt == "jpg" else "PNG"
    file_format = "jpg" if fmt == "jpg" else "png"
    mime = "image/jpeg" if fmt == "jpg" else "image/png"
    
    buf = BytesIO()
    pil_image.save(buf, format=pil_format)
    
    return st.download_button(
        label=label,
        data=buf.getvalue(),
        file_name=f'{filename}.{file_format}',
        mime=mime,
    )



uploaded_file = st.file_uploader(
    label="Upload your photo here", 
    accept_multiple_files=False, type=["png", "jpg", "jpeg"],
)

if uploaded_file is not None:

   

    in_mode = "Transparent (PNG)"
    in_submit = st.button("Submit")

    if uploaded_file is not None and in_submit:
        img_input = Image.open(uploaded_file)
        
        with st.spinner("AI is doing magic to your photo. Please wait..."):
            hexmap = {
                "Transparent (PNG)": "#000000",
                "Black": "#000000",
                "White": "#FFFFFF",
                "Green": "#22EE22",
                "Red": "#EE2222",
                "Blue": "#2222EE",
            }
            alpha = 0.0 if in_mode == "Transparent (PNG)" else 1.0
            img_matte = matte(img_input)
            img_output = change_background(img_input, img_matte, background_alpha=alpha, background_hex=hexmap[in_mode])
        
        with st.expander("Success!", expanded=True):
            st.image(img_output)
            uploaded_name = os.path.splitext(uploaded_file.name)[0]
            image_download_button(
                pil_image=img_output,
                filename=uploaded_name,
                fmt="png"
            )