Update app.py

app.py

@@ -36,14 +36,10 @@ model = load_model("tf_model.h5")
 
 def pkm_predict(image):
     image = crop_center(image)
-    print(image.shape)
     image = resizeImage(image)
-    print(image.shape)
     K_test = (image - image.mean()) / image.std()
-    print(image.shape)
     K_test = np.reshape(K_test, (1, 256, 256, 3)) 
     predictions = model.predict(K_test)
-    print(predictions)
     predictions = list(map(lambda x: 0 if x<0.5 else 1, predictions)) # get binary values predictions with 0.5 as thresold
     print(predictions)
     if predictions == [1]: