code: def _choose_model_from_target_emotions(self):
          
          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
docs: Initializes pre-trained deep learning model for the set of target emotions supplied by user.