code: def __init__(
      self,
      lstm_size=50,
      max_prediction_len=20,
      embedding_size=50,
      embedding_encoder_trainable=True,
      embedding_decoder_trainable=True,
  ):
      super().__init__()
      self.lstm_size = lstm_size
      self.max_prediction_len = max_prediction_len
      self.embedding_size = embedding_size
      self.embedding_encoder_trainable = embedding_encoder_trainable
      self.embedding_decoder_trainable = embedding_decoder_trainable
      self.optimizer = BasicSummarizer._new_optimizer()
      self.encoder = None
      self.decoder = None
      self.embedding_shape_in = None
      self.embedding_shape_out = None
  
imports: import os
  import pickle
  from typing import Callable, Dict, Union
  import numpy
  import tensorflow
  from headliner.model.basic_model import Encoder, Decoder
  from headliner.model.summarizer import Summarizer
  from headliner.preprocessing.preprocessor import Preprocessor
  from headliner.preprocessing.vectorizer import Vectorizer
label_desc: Use image node_id 1 to create a new BasicSummarizer object from inherited base classes: Summarizer with example: obj = BasicSummarizer(lstm_size, max_prediction_len, embedding_size, embedding_encoder_trainable, embedding_decoder_trainable)