Update app.py

app.py

@@ -1,30 +1,4 @@
 from __future__ import annotations
-import os
-import zipfile
-from os.path import basename
-
-import numpy as np
-from PIL import Image
-import matplotlib
-
-from pipeline import Model_GAN, noise
-
-matplotlib.use('Agg')
-from math import floor
-from io import BytesIO
-import base64
-import tempfile
-
-from keras.layers import Conv2D, LeakyReLU, BatchNormalization, Dense, AveragePooling2D, GaussianNoise
-from keras.layers import Reshape, UpSampling2D, Activation, Dropout, Flatten, Conv2DTranspose
-from keras.models import model_from_json, Sequential
-from keras.optimizers import Adam
-
-import cv2
-
-
-import math
-import random
 
 import gradio as gr
 import torch
@@ -183,3 +157,8 @@ gr.Examples(
     cache_examples=True,
 )
 gr.load().launch()
+
+
+
+# sr_b64 = super_resolution(hmap_b64)
+