Update app.py

app.py

@@ -117,7 +117,6 @@ def ssim_psnr(pre,target):
     psnr_results.append(ssim_results)
 
 
-
 def result(Input,Choice,Step):
       
     if Choice=="Indoor-Coloring":
@@ -177,7 +176,7 @@ def result(Input,Choice,Step):
         Psnr = 20 * math.log10(MAX / math.sqrt(mse))
       return Input,Psnr
       
-    if Choice=="Enhancement":
+    if Choice =="Enhancement":
       pre_trained2 = tf.keras.models.load_model("generatorLR-HR_300.h5")
       size0 = Input.shape[0]
       size1 = Input.shape[1]
@@ -191,6 +190,7 @@ def result(Input,Choice,Step):
       return Input
 
 
+
 #lst = cv2.imread('/content/drive/MyDrive/ColabNotebooks/enhance/low-sat.jpg')
 #r = result(lst)
 #cv2.imshow(r)