Source code for camel.models.base_audio_model

# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
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#     http://www.apache.org/licenses/LICENSE-2.0
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# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========

import os
from abc import ABC, abstractmethod
from typing import Any, Optional


[docs] class BaseAudioModel(ABC): r"""Base class for audio models providing Text-to-Speech (TTS) and Speech-to-Text (STT) functionality. """ def __init__( self, api_key: Optional[str] = None, url: Optional[str] = None, ) -> None: r"""Initialize an instance of BaseAudioModel. Args: api_key (Optional[str]): API key for the audio service. If not provided, will look for an environment variable specific to the implementation. url (Optional[str]): Base URL for the audio API. If not provided, will use a default URL or look for an environment variable specific to the implementation. """ self._api_key = api_key self._url = url
[docs] @abstractmethod def text_to_speech( self, input: str, *, storage_path: str, **kwargs: Any, ) -> Any: r"""Convert text to speech. Args: input (str): The text to be converted to speech. storage_path (str): The local path to store the generated speech file. **kwargs (Any): Extra kwargs passed to the TTS API. Returns: Any: The response from the TTS API, which may vary by implementation. """ pass
[docs] @abstractmethod def speech_to_text( self, audio_file_path: str, **kwargs: Any, ) -> str: r"""Convert speech audio to text. Args: audio_file_path (str): The audio file path to transcribe. **kwargs (Any): Extra keyword arguments passed to the Speech-to-Text (STT) API. Returns: str: The transcribed text. """ pass
def _ensure_directory_exists(self, file_path: str) -> None: r"""Ensure the directory for the given file path exists. Args: file_path (str): The file path for which to ensure the directory exists. """ directory = os.path.dirname(file_path) if directory and not os.path.exists(directory): os.makedirs(directory)