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, target_type, doFaceEnhancer):
    source_path = "input.jpg"
    target_path = "target"

    # Handle source image
    source_image = Image.fromarray(source_file)
    source_image.save(source_path)

    if target_type == "Image":
        target_image = Image.fromarray(target_file)
        target_path += ".jpg"
        target_image.save(target_path)
    elif target_type == "Video":
        target_path += ".mp4"
        os.rename(target_file, target_path)
    else:
        raise ValueError("Unsupported target type.")

    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"
    if target_path.endswith(".mp4"):
        output_path += ".mp4"
    else:
        output_path += ".jpg"

    roop.globals.output_path = normalize_output_path(
        roop.globals.source_path, roop.globals.target_path, output_path
    )

    if doFaceEnhancer:
        roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
    else:
        roop.globals.frame_processors = ["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()

    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


def get_target_input(target_type):
    if target_type == "Image":
        return gr.Image()
    elif target_type == "Video":
        return gr.Video()
    else:
        return None


app = gr.Interface(
    fn=swap_face,
    inputs=[
        gr.Image(),
        gr.Radio(["Image", "Video"], label="Target Type"),
        gr.State(),
        gr.Checkbox(label="face_enhancer?", info="do face enhancer?")
    ],
    outputs="auto",
    live=True
)


def update_target_input(target_type):
    return gr.update(inputs=[gr.Image(), get_target_input(target_type), gr.Checkbox(label="face_enhancer?", info="do face enhancer?")])

app.launch()