code: def classify(self, phrase, cut_to_len=True):
        
        if (len(phrase) > self.max_phrase_len):
            if not cut_to_len:
                raise Exception("Phrase too long.")
            phrase = phrase[0:self.max_phrase_len]
  
        numbers = self.classifier.classify(stringToVector(phrase, self.vocab, self.max_vector_len))
        return zip(self.targets, numbers)
docs: Classify a phrase based on the loaded model. If cut_to_len is True, cut to
            desired length.