#!/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 import cv2 from io import BytesIO sys.path.insert(0, 'p2c') from test import Photo2Cartoon ORIGINAL_REPO_URL = 'https://github.com/minivision-ai/photo2cartoon' TITLE = 'minivision-ai/photo2cartoon' DESCRIPTION = f"""This is a demo for {ORIGINAL_REPO_URL}. """ ARTICLE = """ """ 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 run( image, p2c : Photo2Cartoon, ) -> tuple[PIL.Image.Image]: cartoon = p2c.inference(image.name) return PIL.Image.fromarray(cartoon) def main(): gr.close_all() args = parse_args() p2c = Photo2Cartoon() func = functools.partial(run, p2c) 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()