app.py

import numpy as np

import gradio as gr

def getoutput(input_img):
    unet = UNet().to(device)
    unet = torch.load("unet_06_07_2022_17_13_42_256_256.pth").to(device)
    output_img = make_predictions(unet, input_img, threshold=0.5)
    return output_img

demo = gr.Interface(getoutput, gr.Image(shape=(200, 200)), "image")

demo.launch(share=True)