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OpenAIAudioModels

class OpenAIAudioModels(BaseAudioModel):
Provides access to OpenAI’s Text-to-Speech (TTS) and Speech_to_Text (STT) models.

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init

def __init__(
    self,
    api_key: Optional[str] = None,
    url: Optional[str] = None,
    timeout: Optional[float] = None
):
Initialize an instance of OpenAI.

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text_to_speech

def text_to_speech(self, input: str, **kwargs: Any):
Convert text to speech using OpenAI’s TTS model. This method converts the given input text to speech using the specified model and voice. Parameters:
  • input (str): The text to be converted to speech.
  • model_type (AudioModelType, optional): The TTS model to use. Defaults to AudioModelType.TTS_1.
  • voice (VoiceType, optional): The voice to be used for generating speech. Defaults to VoiceType.ALLOY.
  • storage_path (str, optional): The local path to store the generated speech file if provided, defaults to None. **kwargs (Any): Extra kwargs passed to the TTS API.
Returns: Union[List[_legacy_response.HttpxBinaryResponseContent], _legacy_response.HttpxBinaryResponseContent]: List of response content object from OpenAI if input characters more than 4096, single response content if input characters less than 4096.

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_split_audio

def _split_audio(self, audio_file_path: str, chunk_size_mb: int = 24):
Split the audio file into smaller chunks. Since the Whisper API only supports files that are less than 25 MB. Parameters:
  • audio_file_path (str): Path to the input audio file.
  • chunk_size_mb (int, optional): Size of each chunk in megabytes. Defaults to 24.
Returns: list: List of paths to the split audio files.

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speech_to_text

def speech_to_text(
    self,
    audio_file_path: str,
    translate_into_english: bool = False,
    **kwargs: Any
):
Convert speech audio to text. Parameters:
  • audio_file_path (str): The audio file path, supporting one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
  • translate_into_english (bool, optional): Whether to translate the speech into English. Defaults to False. **kwargs (Any): Extra keyword arguments passed to the Speech-to-Text (STT) API.
Returns: str: The output text.

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audio_question_answering

def audio_question_answering(
    self,
    audio_file_path: str,
    question: str,
    model: str = 'gpt-4o-mini-audio-preview',
    **kwargs: Any
):
Answer a question directly using the audio content. Parameters:
  • audio_file_path (str): The path to the audio file.
  • question (str): The question to ask about the audio content.
  • model (str, optional): The model to use for audio question answering. (default: :obj:"gpt-4o-mini-audio-preview") **kwargs (Any): Extra keyword arguments passed to the chat completions API.
Returns: str: The model’s response to the question.