code: def recognize_whisper_api(
      recognizer,
      audio_data: "AudioData",
      *,
      model: str = "whisper-1",
      api_key: str | None = None,
  ):
      """
      Performs speech recognition on ``audio_data`` (an ``AudioData`` instance), using the OpenAI Whisper API.
  
      This function requires an OpenAI account; visit https://platform.openai.com/signup, then generate API Key in `User settings <https://platform.openai.com/account/api-keys>`__.
  
      Detail: https://platform.openai.com/docs/guides/speech-to-text
  
      Raises a ``speech_recognition.exceptions.SetupError`` exception if there are any issues with the openai installation, or the environment variable is missing.
      """
      if not isinstance(audio_data, AudioData):
          raise ValueError(
              "``audio_data`` must be an ``AudioData`` instance"
          )
      if api_key is None and os.environ.get("OPENAI_API_KEY") is None:
          raise SetupError(
              "Set environment variable ``OPENAI_API_KEY``"
          )
  
      try:
          import openai
      except ImportError:
          raise SetupError(
              "missing openai module: ensure that openai is set up correctly."
          )
  
      wav_data = BytesIO(audio_data.get_wav_data())
      wav_data.name = "SpeechRecognition_audio.wav"
  
      transcript = openai.Audio.transcribe(
          model, wav_data, api_key=api_key
      )
      return transcript["text"]
  
imports: from __future__ import annotations
  import os
  from io import BytesIO
  from speech_recognition.audio import AudioData
  from speech_recognition.exceptions import SetupError
label_desc: Use image node_id 1 for calling a global function with example usage: recognize_whisper_api(recognizer, audio_data) and returns: transcript