class_docstr: Transcribe and parse audio files.
  Audio transcription is with OpenAI Whisper model.
code: def __init__(self, api_key: Optional[str] = None):
      self.api_key = api_key
  
imports: import logging
  import os
  import tempfile
  import time
  from typing import Dict, Iterator, Optional, Tuple
  from langchain.document_loaders.base import BaseBlobParser
  from langchain.document_loaders.blob_loaders import Blob
  from langchain.document_loaders.generic import GenericLoader
  from langchain.schema import Document
  from typing import List, Union, Any, Tuple
  import requests
  from langchain.docstore.document import Document
  from langchain.document_loaders import ImageCaptionLoader
  from utils import get_device, NullContext, clear_torch_cache, have_use_faster, makedirs
  from importlib.metadata import distribution, PackageNotFoundError
  from typing import Iterable, List
  from langchain.document_loaders.blob_loaders import FileSystemBlobLoader
  from langchain.document_loaders.blob_loaders.schema import Blob, BlobLoader
label_desc: Use image node_id 1 to create a new OpenAIWhisperParser object from inherited base classes: BaseBlobParser with example: obj = OpenAIWhisperParser(api_key)