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):

    # Resize images to reduce processing load
    source_image = Image.fromarray(source_file)
    target_image = Image.fromarray(target_file)

    # Resize to a smaller dimension if necessary
    source_image.thumbnail((512, 512))
    target_image.thumbnail((512, 512))

    source_path = "input.jpg"
    target_path = "target.jpg"

    source_image.save(source_path, format="JPEG")
    target_image.save(target_path, format="JPEG")

    print("source_path: ", source_path)
    print("target_path: ", 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
    )

    # Limit processing to what is necessary for CPU
    if doFaceEnhancer:
        roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
    else:
        roop.globals.frame_processors = ["face_swapper"]

    # Optimize for CPU
    roop.globals.headless = True
    roop.globals.keep_fps = False  # Disable to reduce processing
    roop.globals.keep_audio = False  # Disable to reduce processing
    roop.globals.keep_frames = False
    roop.globals.many_faces = False
    roop.globals.video_encoder = "libx264"
    roop.globals.video_quality = 24  # Lower quality for faster processing
    roop.globals.max_memory = suggest_max_memory()  # Use all available memory
    roop.globals.execution_providers = decode_execution_providers(["cpu"])  # Use CPU only
    roop.globals.execution_threads = suggest_execution_threads()  # Utilize all CPU cores

    print(
        "start process",
        roop.globals.source_path,
        roop.globals.target_path,
        roop.globals.output_path,
    )

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

    start()
    return output_path

html_section_2 = "<div><p>This model is running on CPU and might be slow.</p></div>"

app = gr.Blocks()

with app:
    gr.HTML(html_section_2)
    gr.Interface(
        fn=swap_face,
        inputs=[gr.Image(), gr.Image(), gr.Checkbox(label="Enhance", info="Face Enhancer")],
        outputs="image"
    )

app.launch()