# -*- coding: UTF-8 -*-
#!/usr/bin/env python
import gradio as gr
from PIL import Image
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


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

    # Salva le immagini
    source_image = Image.fromarray(source_file)
    source_image.save(source_path)
    target_image = Image.fromarray(target_file)
    target_image.save(target_path)

    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
    )

    # Processori
    if doFaceEnhancer:
        roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
    else:
        roop.globals.frame_processors = ["face_swapper"]

    # Impostazioni globali
    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()

    # FORZA CPU per evitare problemi con onnxruntime-gpu
    roop.globals.execution_providers = decode_execution_providers(["cpu"])
    roop.globals.execution_threads = suggest_execution_threads()

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

    # Controllo pre-processori
    for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
        if not frame_processor.pre_check():
            return

    # Avvio Roop
    start()
    return output_path


# Interfaccia Gradio
app = gr.Interface(
    fn=swap_face,
    inputs=[
        gr.Image(label="Source Image"),
        gr.Image(label="Target Image"),
        gr.Checkbox(label="Face Enhancer?", info="Enable face enhancer?")
    ],
    outputs="image"
)

app.launch()