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from UNet import *
from make_predictions import *
import torch
import gradio as gr
def getoutput(input_img):
unet = UNet().to('cpu')
unet = torch.load("unet_06_07_2022_17_13_42_256_256.pth", map_location='cpu').to('cpu')
output_img = make_predictions(unet, input_img, threshold=0.05)
return output_img
demo = gr.Interface(getoutput, gr.Image(shape=(200, 200)), "image")
demo.launch() |