code: def test_text_classification(self, mock_handler):
      self.run_sql("CREATE DATABASE proj")
  
      texts = ["I like you. I love you", "I don't like you. I hate you"]
      df = pd.DataFrame(texts, columns=["texts"])
  
      self.set_handler(mock_handler, name="pg", tables={"df": df})
  
      self.run_sql(
          """
              CREATE MODEL proj.test_hfapi_text_classification
              PREDICT sentiment
              USING
                task = 'text-classification',
                engine = 'hf_api_engine',
                api_key = '<YOUR_API_KEY>',
                input_column = 'text'
              """
      )
  
      result_df = self.run_sql(
          """
              SELECT sentiment
              FROM proj.test_hfapi_text_classification
              WHERE
              text='I like you. I love you'
              """
      )
  
      assert "positive" in result_df["sentiment"].iloc[0].lower()
  
imports: from unittest.mock import patch
  import pandas
  from mindsdb_sql import parse_sql
  from tests.unit.executor_test_base import BaseExecutorTest
label_desc: Use image node_id 2 for calling the TestHuggingFaceAPI obj's underlying member method code with example usage: obj.test_text_classification(mock_handler) without return types