cleanup code

app.py

@@ -32,16 +32,12 @@ learn.loss_func = BCEWithLogitsLossFlat(thresh=0.4)
 def predict(image, vtt):
     vtt = base64.b64decode(vtt.replace("data:text/vtt;base64,", ""))
     sprite = PILImage.create(image)
-    offsets = []
-    images = []
-    tensors = []
 
     pre_process_data = []
     for left, top, right, bottom in getVTToffsets(vtt):
         cut_frame = sprite.crop((left, top, left + right, top + bottom))
         image = n2.preprocess_image(cut_frame, n2.Preprocessing.YAHOO)
         pre_process_data.append((np.expand_dims(image, axis=0), cut_frame, (left, top, right, bottom)))
-            
     
     offsets = []
     images = []