code: def create_dummy_csv_file(catalog) -> str:
      tmp_dir_from_config = catalog.get_configuration_catalog_value(
          "tmp_dir"
      )
      df_dict = [
          {
              "prompt": "summarize",
              "content": "There are times when the night sky glows with bands of color. The bands may begin as cloud shapes and then spread into a great arc across the entire sky. They may fall in folds like a curtain drawn across the heavens. The lights usually grow brighter, then suddenly dim. During this time the sky glows with pale yellow, pink, green, violet, blue, and red. These lights are called the Aurora Borealis. Some people call them the Northern Lights. Scientists have been watching them for hundreds of years. They are not quite sure what causes them",
          }
      ]
      df = pd.DataFrame(df_dict)
  
      dummy_file_path = tmp_dir_from_config + "/queries.csv"
      df.to_csv(dummy_file_path)
  
      return dummy_file_path
  
file_path: evadb/test/integration_tests/long/functions/test_chatgpt.py
imports: import os
  import unittest
  from test.markers import chatgpt_skip_marker
  from test.util import get_evadb_for_testing
  import pandas
  from evadb.server.command_handler import execute_query_fetch_all
label_desc: Use image node_id 1 for calling a global function with example usage: create_dummy_csv_file(catalog) and returns: dummy_file_path