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#!/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_onnx 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()
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