app.py

import gradio as gr
import numpy as np
import torch

def gray(image):
  grayed_image = np.mean(image, 2)
  image_max = np.max(grayed_image)

  if image_max > 1:
    grayed_image = grayed_image / image_max
  
  return grayed_image

app = gr.Interface(
    gray,
    'image',
    'image',
    examples=[
        './example1.jpg',
        './example2.jpg',
        './example3.jpg'
    ],
    flagging_dir='./',
    allow_flagging=True,
    flagging_options=['Work', 'Don`t work'],
    live=True,
)

app.launch(height=800)