code: def eval(
      self, input_filepath, args: TCEvalArgs = TCEvalArgs()
  ) -> EvalResult:
      return super(HappyTextClassification, self).eval(
          input_filepath, args
      )
  
imports: import csv
  from typing import Union
  from dataclasses import dataclass
  from datasets import Dataset
  from tqdm import tqdm
  from transformers import AutoConfig, AutoModelForSequenceClassification, AutoTokenizer, DataCollatorWithPadding, TextClassificationPipeline
  from happytransformer.adaptors import get_adaptor
  from happytransformer.args import TCEvalArgs, TCTestArgs, TCTrainArgs
  from happytransformer.fine_tuning_util import EvalResult
  from happytransformer.happy_transformer import HappyTransformer
label_desc: Use image node_id 4 for calling the HappyTextClassification obj's underlying member method code with example usage: obj.eval(input_filepath, args) and returns: super