from UNet import *
from make_predictions import *
import torch
import gradio as gr

def getoutput(threshold,input_img):
    unet = UNet().to('cpu')
    unet = torch.load("unet_06_07_2022_22_43_42_1024_1024.pth", map_location='cpu').to('cpu')
    output_img = make_predictions(unet, input_img, threshold=threshold)
    return output_img

demo = gr.Interface(
    fn=getoutput, 
    inputs=["number", gr.Image(shape=(200, 200))], 
    outputs=["image"])

demo.launch()