app.py

import gradio as gr
import os
import cv2
from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
import PIL
import numpy as np

img_colorization = pipeline(Tasks.image_colorization, model='iic/cv_ddcolor_image-colorization')
img_path = 'input.png'
##result = img_colorization(img_path)
##cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG])
def color(image):
    output = img_colorization(image[...,::-1])
    result = output[OutputKeys.OUTPUT_IMG].astype(np.uint8)
    result = result[...,::-1]
    print('infer finished!')
    return result


title = "Old Photo Restoration: Photo-Realistic Image Colorization"
description=(
        "\n\n"
        "<center>⭐️Brought to you by <a href='https://note.com/sangmin/n/n4344d02afde7'>Chiomirai School</a>⭐️</center>"
)
examples = [['./input.jpg'],]

demo = gr.Interface(fn=color,inputs="image",outputs="image",examples=examples,title=title,description=description)

if __name__ == "__main__":
    demo.launch(share=False)