code: def preprocess(self, data):
      textInput = []
      for row in data:
          text = row.get("data") or row.get("body")
          decoded_text = text.decode("utf-8")
          textInput.append(decoded_text)
      return textInput
  
file_path: serve/examples/nmt_transformer/model_handler_generalized.py
imports: from ts.torch_handler.base_handler import BaseHandler
  from fairseq.models.transformer import TransformerModel
  import torch
  import json
  import os
  import logging
label_desc: Use image node_id 3 for calling the LanguageTranslationHandler obj's underlying member method code with example usage: obj.preprocess(data) and returns: textInput