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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _choose_model_from_target_emotions(self):
 """ Initializes pre-trained deep learning model for the set of target emotions supplied by user. """

        model_indices = [self.emotion_index_map[emotion] for emotion in self.target_emotions]
        sorted_indices = [str(idx) for idx in sorted(model_indices)]
        model_suffix = ''.join(sorted_indices)
        #Modify the path to choose the model file and the emotion map that you want to use
        model_file = 'models/conv_model_%s.hdf5' % model_suffix
        emotion_map_file = 'models/conv_emotion_map_%s.json' % model_suffix
        emotion_map = json.loads(open(resource_filename('EmoPy', emotion_map_file)).read())
        return load_model(resource_filename('EmoPy', model_file)), emotion_map