Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import numpy as np
 from PIL import Image
 import cv2
+from time import time as time
 def single_image(image,mode):
     image = image.resize((128, 128))
     if mode=="rgb":
@@ -17,13 +18,13 @@ def single_image(image,mode):
         hist, _ = np.histogram(words, bins=num_clusters, range=(0, num_clusters))
         return np.array(hist)
 def Classify(img, pre,model):
-start_time = time.time() 
-image = PIL.Image.open(img)
-file=model+'_'+pre+'.skops'
-loaded_model = sio.load(file)
-predictions = loaded_model.predict(single_image(image,pre))
-end_time = time.time()  
-elapsed_time_microseconds = (end_time - start_time) * 1_000_000_000  
+    start_time = time.time() 
+    image = PIL.Image.open(img)
+    file=model+'_'+pre+'.skops'
+    loaded_model = sio.load(file)
+    predictions = loaded_model.predict(single_image(image,pre))
+    end_time = time.time()  
+    elapsed_time_microseconds = (end_time - start_time) * 1_000_000_000  
 
     return  predictions,(end_time - start_time) * 1_000_000_000