File size: 2,207 Bytes
75f0a99 21f0a5b a2bfe0a 21f0a5b 9b56244 38a67b0 21f0a5b 9b56244 38a67b0 21f0a5b 9b56244 21f0a5b 9b56244 a2bfe0a 9b56244 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
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()
|