predict.py

def predict(model, img, target_size, top_n=3):
  """Run model prediction on image
  Args:
    model: keras model
    img: PIL format image
    target_size: (w,h) tuple
    top_n: # of top predictions to return
  Returns:
    np array of predictions
  """
  if img.size != target_size:
    img = img.resize(target_size)
  x = image.img_to_array(img)
  x = np.expand_dims(x, axis=0)
  x = preprocess_input(x)
  preds = model.predict(x)
  return decode_predictions(preds, top=top_n)[0]