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=True):
    source_path = "input.jpg"
    target_path = "target.jpg"

    source_image = Image.fromarray(source_file)
    source_image.save(source_path)
    target_image = Image.fromarray(target_file)
    target_image.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(
        roop.globals.source_path, roop.globals.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 None

    start()

    if os.path.exists(output_path):
        return Image.open(output_path)
    return None


app = gr.Blocks(theme="Nymbo/Alyx_Theme", css="#spacer {height: 640px;}")

with app:
    gr.HTML('<div id="spacer"></div>')  # 640px empty space
    gr.Interface(
        fn=swap_face,
        inputs=[
            gr.Image(label="Fotoja Burimore (Source)", type="numpy"),
            gr.Image(label="Fotoja Objektiv (Target)", type="numpy"),
        ],
        outputs=gr.Image(label="Rezultati"),
    )

app.launch()