code: def get_config(config_path="config.yml"):
      with open(config_path, "r") as setting:
          config = yaml.safe_load(setting)
  
      return config
  
imports: import argparse
  import os
  from typing import List
  import numpy
  import torch
  import torch.backends.cudnn
  import torch.multiprocessing
  import yaml
  from nltk.tokenize import word_tokenize
  from graph4nlp.pytorch.data.dataset import Text2LabelDataItem, Text2LabelDataset
  from graph4nlp.pytorch.inference_wrapper.classifier_inference_wrapper import ClassifierInferenceWrapper
  from graph4nlp.pytorch.modules.utils import constants
  from .run_text_classifier import TextClassifier
label_desc: Use image node_id 3 for calling a global function with example usage: get_config(config_path) and returns: config