import streamlit as st
import subprocess
import shutil
import os
from PIL import Image
import numpy as np

def run_scripts(target, source, use_face_enhancer):
    if target is None or (not use_face_enhancer and source is None):
        return None
    target_extension = os.path.splitext(target.name)[-1]
    output_path1 = "output1" + target_extension
    output_path2 = "output2" + target_extension

    if not use_face_enhancer:
        # Run both scripts
        cmd1 = ["python3", "run.py", "-s", source.name, "-t", target.name, "-o", output_path1, "--frame-processor", "face_swapper"]
        subprocess.run(cmd1)

    # Run the second script
    cmd2 = ["python3", "run.py", "-t", target.name if use_face_enhancer else output_path1, "-o", output_path2, "--frame-processor", "face_enhancer"]
    subprocess.run(cmd2)

    if not use_face_enhancer:
        os.remove(source.name)
    os.remove(target.name)

    return output_path2

def main():
    st.markdown('<p style="color:#191970;text-align:center;font-size:30px;">Aiconvert.online</p>', unsafe_allow_html=True)
    st.title("AIconvert Face swap")
    st.markdown('<style>h1{color: Crimson; text-align: center;}</style>', unsafe_allow_html=True)

    source_file = st.file_uploader("Upload Source Image", type=["jpg", "png", "jpeg"])
    target_file = st.file_uploader("Upload Target Image", type=["jpg", "png", "jpeg"])
    doFaceEnhancer = st.checkbox("Enable Face Enhancer")

    if source_file is not None and target_file is not None:
        source_image = Image.open(source_file)
        target_image = Image.open(target_file)

        st.image(source_image, caption="Source Image", use_column_width=True)
        st.image(target_image, caption="Target Image", use_column_width=True)

        if st.button("Swap Faces"):
            with st.spinner("Swapping Faces..."):
                output_path = run_scripts(
                    target_file,
                    source_file if not doFaceEnhancer else None,
                    doFaceEnhancer,
                )
                output_image = Image.open(output_path)
                st.image(output_image, caption="Result", use_column_width=True)

if __name__ == "__main__":
    main()