app.py

import streamlit as st
import numpy as np
import torch
import torch.nn as nn

from PIL import Image
from model import model, image_transforms_gs, image_transforms_rgb


st.title("UNET Image Colorizer")

upload_file = st.file_uploader("Upload Image")

if upload_file:
  
  image = upload_file
  image_gs = upload_file
  
  image = Image.open(image)
  if len(np.array(image).shape) < 3: 
    image = image_transforms_gs(image)
  else:
    image = image_transforms_rgb(image)
  
  image_color = model(image.unsqueeze(0)).squeeze().permute(1, 2, 0).detach().cpu().numpy()

  col1, col2 = st.columns(2)
  col1.image(image_gs)
  col2.image(image_color, clamp=True, channels='RGB')