Source code for langchain_google_community.texttospeech

from __future__ import annotations

import tempfile
from typing import TYPE_CHECKING, Any, Optional

from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool

from langchain_google_community._utils import get_client_info

if TYPE_CHECKING:
    from google.cloud import texttospeech  # type: ignore[attr-defined]


def _import_google_cloud_texttospeech() -> Any:
    try:
        from google.cloud import texttospeech  # type: ignore[attr-defined]
    except ImportError as e:
        raise ImportError(
            "Could not import google-cloud-texttospeech python package. "
            "Please, install texttospeech dependency group: "
            "`pip install langchain-google-community[texttospeech]`"
        ) from e
    return texttospeech


def _encoding_file_extension_map(encoding: texttospeech.AudioEncoding) -> Optional[str]:
    texttospeech = _import_google_cloud_texttospeech()

    ENCODING_FILE_EXTENSION_MAP = {
        texttospeech.AudioEncoding.LINEAR16: ".wav",
        texttospeech.AudioEncoding.MP3: ".mp3",
        texttospeech.AudioEncoding.OGG_OPUS: ".ogg",
        texttospeech.AudioEncoding.MULAW: ".wav",
        texttospeech.AudioEncoding.ALAW: ".wav",
    }
    return ENCODING_FILE_EXTENSION_MAP.get(encoding)


[docs] class TextToSpeechTool(BaseTool): """Tool that queries the Google Cloud Text to Speech API. In order to set this up, follow instructions at: https://cloud.google.com/text-to-speech/docs/before-you-begin """ name: str = "google_cloud_texttospeech" description: str = ( "A wrapper around Google Cloud Text-to-Speech. " "Useful for when you need to synthesize audio from text. " "It supports multiple languages, including English, German, Polish, " "Spanish, Italian, French, Portuguese, and Hindi. " ) _client: Any def __init__(self, **kwargs: Any) -> None: """Initializes private fields.""" texttospeech = _import_google_cloud_texttospeech() super().__init__(**kwargs) self._client = texttospeech.TextToSpeechClient( client_info=get_client_info(module="text-to-speech") ) def _run( self, input_text: str, language_code: str = "en-US", ssml_gender: Optional[texttospeech.SsmlVoiceGender] = None, audio_encoding: Optional[texttospeech.AudioEncoding] = None, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" texttospeech = _import_google_cloud_texttospeech() ssml_gender = ssml_gender or texttospeech.SsmlVoiceGender.NEUTRAL audio_encoding = audio_encoding or texttospeech.AudioEncoding.MP3 response = self._client.synthesize_speech( input=texttospeech.SynthesisInput(text=input_text), voice=texttospeech.VoiceSelectionParams( language_code=language_code, ssml_gender=ssml_gender ), audio_config=texttospeech.AudioConfig(audio_encoding=audio_encoding), ) suffix = _encoding_file_extension_map(audio_encoding) with tempfile.NamedTemporaryFile(mode="bx", suffix=suffix, delete=False) as f: f.write(response.audio_content) return f.name