code: def run_text_problem_from_saved_meta_file(path):
      data = InputData.from_text_meta_file(meta_file_path=path)
  
      train_data, test_data = train_test_data_setup(
          data, split_ratio=0.7
      )
  
      metric = execute_pipeline_for_text_problem(train_data, test_data)
  
      print(f"meta_file metric: {metric}")
  
file_path: FEDOT/cases/spam_detection.py
imports: import os
  from sklearn.metrics import roc_auc_score
  from cases.dataset_preparation import unpack_archived_data
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
label_desc: Use image node_id 4 for calling a global function with example usage: run_text_problem_from_saved_meta_file(path) without return types