code: def test_speech_recognition_model(self):
      io = gr.load("models/facebook/wav2vec2-base-960h")
      try:
          output = io("gradio/test_data/test_audio.wav")
          assert output is not None
      except TooManyRequestsError:
          pass
  
      app, _, _ = io.launch(prevent_thread_lock=True, show_error=True)
      client = TestClient(app)
      resp = client.post(
          "api/predict",
          json={
              "fn_index": 0,
              "data": [media_data.BASE64_AUDIO],
              "name": "sample",
          },
      )
      try:
          if resp.status_code != 200:
              warnings.warn(
                  "Request for speech recognition model failed!"
              )
              if (
                  "Could not complete request to HuggingFace API"
                  in resp.json()["error"]
              ):
                  pass
              else:
                  raise AssertionError()
          else:
              assert resp.json()["data"] is not None
      finally:
          io.close()
  
imports: import os
  import tempfile
  import textwrap
  import warnings
  from pathlib import Path
  from unittest.mock import MagicMock, patch
  import pytest
  from fastapi.testclient import TestClient
  from gradio_client import media_data
  from huggingface_hub import HfFolder
  import gradio
  from gradio.context import Context
  from gradio.exceptions import GradioVersionIncompatibleError, InvalidApiNameError
  from gradio.external import TooManyRequestsError, cols_to_rows, get_tabular_examples
label_desc: Use image node_id 26 for calling the TestLoadInterface obj's underlying member method code with example usage: obj.test_speech_recognition_model() without return types