app.py

import numpy as np
import gradio as gr
import roop.globals
from roop.core import (
    start,
    decode_execution_providers,
    suggest_max_memory,
    suggest_execution_threads,
)
from roop.processors.frame.core import get_frame_processors_modules
from roop.utilities import normalize_output_path
import os
from PIL import Image


def swap_face(source_file, target_file, doFaceEnhancer):
    source_path = "input.jpg"
    target_path = "target.jpg"

    Image.fromarray(source_file).save(source_path)
    Image.fromarray(target_file).save(target_path)

    roop.globals.source_path = source_path
    roop.globals.target_path = target_path
    output_path = "output.jpg"
    roop.globals.output_path = normalize_output_path(source_path, target_path, output_path)

    roop.globals.frame_processors = ["face_swapper", "face_enhancer"] if doFaceEnhancer else ["face_swapper"]
    roop.globals.headless = True
    roop.globals.keep_fps = True
    roop.globals.keep_audio = True
    roop.globals.keep_frames = False
    roop.globals.many_faces = False
    roop.globals.video_encoder = "libx264"
    roop.globals.video_quality = 18
    roop.globals.max_memory = suggest_max_memory()
    roop.globals.execution_providers = decode_execution_providers(["cuda"])
    roop.globals.execution_threads = suggest_execution_threads()

    for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
        if not frame_processor.pre_check():
            return

    start()
    return output_path


with gr.Blocks(theme="Nymbo/Alyx_Theme") as app:
    with gr.Row():
        src_img = gr.Image(label="Source Image", type="numpy")
        tgt_img = gr.Image(label="Target Image", type="numpy")
        enhancer = gr.Checkbox(label="Face Enhancer?")
    output_img = gr.Image(label="Output Image", type="filepath")
    btn = gr.Button("Swap Face")
    btn.click(swap_face, inputs=[src_img, tgt_img, enhancer], outputs=output_img)

app.launch(server_name="0.0.0.0", server_port=7860, share=False)