code: def filter_seq2seq_output(string_pred, eos_id=-1):
      """Filter the output until the first eos occurs (exclusive).
      Arguments
      ---------
      string_pred : list
          A list containing the output strings/ints predicted by the seq2seq system.
      eos_id : int, string
          The id of the eos.
      Returns
      ------
      list
          The output predicted by seq2seq model.
      Example
      -------
      >>> string_pred = ['a','b','c','d','eos','e']
      >>> string_out = filter_seq2seq_output(string_pred, eos_id='eos')
      >>> string_out
      ['a', 'b', 'c', 'd']
      """
      if isinstance(string_pred, list):
          try:
              eos_index = next(
                  i for i, v in enumerate(string_pred) if v == eos_id
              )
          except StopIteration:
              eos_index = len(string_pred)
          string_out = string_pred[:eos_index]
      else:
          raise ValueError("The input must be a list.")
      return string_out
  
imports: import torch
label_desc: Use image node_id 5 for calling a global function with example usage: filter_seq2seq_output(string_pred, eos_id) and returns: string_out