code: def translate(self):
      self.model.eval()
      ret = self.inference_tool.predict(
          raw_contents=[
              """PARIS , France -LRB- CNN -RRB- -- Interpol is chasing more than 200 leads on
              the potential identity of a pedophile suspected of molesting young boys , just
              one day after launching a global manhunt . Interpol has launched a global appeal
              to find this man , accused of abusing young boys ."""
          ],
          batch_size=1,
      )
      print(ret)
  
imports: import argparse
  import os
  import numpy
  import torch
  import torch.backends.cudnn
  from nltk.tokenize import word_tokenize
  from graph4nlp.pytorch.inference_wrapper.generator_inference_wrapper import GeneratorInferenceWrapper
  from graph4nlp.pytorch.modules.config import get_basic_args
  from graph4nlp.pytorch.modules.utils import constants
  from graph4nlp.pytorch.modules.utils.config_utils import get_yaml_config, update_values
  from graph4nlp.pytorch.modules.utils.generic_utils import EarlyStopping, to_cuda
  from main import SumModel
label_desc: Use image node_id 3 for calling the ModelHandler obj's underlying member method code with example usage: obj.translate() without return types