def METHOD_NAME(self):
    temp_dir = tempfile.TemporaryDirectory()
    xa = Timeseries(np.float32(np.random.rand(10, 156)))
    xv = Video(np.float32(np.random.rand(3, 15, 224, 224)))
    # create learner and download pretrained model
    learner = AudiovisualEmotionLearner(num_class=8)
    # make inference
    pred = learner.infer(xa, xv)
    self.assertTrue(isinstance(pred, Category))
    self.assertTrue(pred.confidence <= 1,
                    msg="Confidence of prediction must be less or equal than 1")
    temp_dir.cleanup()