#!/usr/bin/env python

from __future__ import annotations
import argparse
import functools
import os
import pathlib
import sys
from typing import Callable


import gradio as gr
import huggingface_hub
import numpy as np
import PIL.Image

from io import BytesIO
import ugatit_test

ORIGINAL_REPO_URL = 'https://github.com/taki0112/UGATIT'
TITLE = 'taki0112/UGATIT'
DESCRIPTION = f"""This is a demo for {ORIGINAL_REPO_URL}.

"""
ARTICLE = """

"""


MODEL_REPO = 'hylee/UGATIT_model'

def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser()
    parser.add_argument('--device', type=str, default='cpu')
    parser.add_argument('--theme', type=str)
    parser.add_argument('--live', action='store_true')
    parser.add_argument('--share', action='store_true')
    parser.add_argument('--port', type=int)
    parser.add_argument('--disable-queue',
                        dest='enable_queue',
                        action='store_false')
    parser.add_argument('--allow-flagging', type=str, default='never')
    parser.add_argument('--allow-screenshot', action='store_true')
    return parser.parse_args()


def load_checkpoint():
    dir = 'checkpoint'
    name = 'UGATIT_selfie2anime_lsgan_4resblock_6dis_1_1_10_10_1000_sn_smoothing'
    checkpoint_path = huggingface_hub.hf_hub_download(MODEL_REPO,
                                                name+'/checkpoint',
                                                cache_dir=dir+'/'+name,
                                                force_filename='checkpoint')
    print(checkpoint_path)

    checkpoint_path = huggingface_hub.hf_hub_download(MODEL_REPO,
                                                      name + '/UGATIT.model-1000000.index',
                                                      cache_dir=dir+'/'+name,
                                                      force_filename='UGATIT.model-1000000.index')
    print(checkpoint_path)

    checkpoint_path = huggingface_hub.hf_hub_download(MODEL_REPO,
                                                      name + '/UGATIT.model-1000000.meta',
                                                      cache_dir=dir+'/'+name,
                                                      force_filename='UGATIT.model-1000000.meta')
    print(checkpoint_path)

    checkpoint_path = huggingface_hub.hf_hub_download(MODEL_REPO,
                                                      name + '/UGATIT.model-1000000.data-00000-of-00001',
                                                      cache_dir=dir+'/'+name,
                                                      force_filename='UGATIT.model-1000000.data-00000-of-00001')
    print(checkpoint_path)

    return dir


def run(
    image,
    checkpoint_dir: str,
) -> tuple[PIL.Image.Image]:

    result = ugatit_test.main_test(image.name, checkpoint_dir)

    return PIL.Image.open(result)


def main():
    gr.close_all()

    args = parse_args()

    checkpoint_dir = load_checkpoint()

    func = functools.partial(run, checkpoint_dir=checkpoint_dir)
    func = functools.update_wrapper(func, run)

    
    gr.Interface(
        func,
        [
            gr.inputs.Image(type='file', label='Input Image'),
        ],
        [
            gr.outputs.Image(
                type='pil',
                label='Result'),
        ],
        #examples=examples,
        theme=args.theme,
        title=TITLE,
        description=DESCRIPTION,
        article=ARTICLE,
        allow_screenshot=args.allow_screenshot,
        allow_flagging=args.allow_flagging,
        live=args.live,
    ).launch(
        enable_queue=args.enable_queue,
        server_port=args.port,
        share=args.share,
    )


if __name__ == '__main__':
    main()