import numpy as np
import gradio as gr
import models_client.globals
from models_client.core import (
    start,
    decode_execution_providers,
    suggest_max_memory,
    suggest_execution_threads,
)
from models_client.processors.frame.core import get_frame_processors_modules
from models_client.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"

    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)

    models_client.globals.source_path = source_path
    models_client.globals.target_path = target_path
    output_path = "output.jpg"
    models_client.globals.output_path = normalize_output_path(
        models_client.globals.source_path, models_client.globals.target_path, output_path
    )
    if doFaceEnhancer:
        models_client.globals.frame_processors = ["face_swapper", "face_enhancer"]
    else:
        models_client.globals.frame_processors = ["face_swapper"]
    models_client.globals.headless = True
    models_client.globals.keep_fps = True
    models_client.globals.keep_audio = True
    models_client.globals.keep_frames = False
    models_client.globals.many_faces = False
    models_client.globals.video_encoder = "libx264"
    models_client.globals.video_quality = 18
    models_client.globals.max_memory = suggest_max_memory()
    models_client.globals.execution_providers = decode_execution_providers(["cuda"])
    models_client.globals.execution_threads = suggest_execution_threads()

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

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

    start()
    return output_path

html_section_1 = "<div style='text:align:center'><h1>Ai Penganti Wajah</h1></div>"
html_section_2 = "<div style='text:align:center'><p>Unggah gambar sumber dan target Anda untuk bertukar wajah, Kemudian anda bisa meningkatkan kualitas wajah dengan cara mencentang opsi dibawah</p></div>"

app = gr.Blocks()

with app:
    gr.HTML(html_section_1)
    gr.HTML(html_section_2)
    gr.Interface(
        fn=swap_face,
        inputs=[
            gr.Image(label="Gambar Sumber"),
            gr.Image(label="Gambar Target"),
            gr.Checkbox(label="Tingkatkan", info="Tingkatkan kualitas wajah ?")
        ],
        outputs="image"
    )

app.launch()