Source code for langchain_community.tools.google_cloud.texttospeech
from __future__ import annotations
import tempfile
from typing import TYPE_CHECKING, Any, Optional
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.vertexai import get_client_info
if TYPE_CHECKING:
from google.cloud import texttospeech
def _import_google_cloud_texttospeech() -> Any:
try:
from google.cloud import texttospeech
except ImportError as e:
raise ImportError(
"Cannot import google.cloud.texttospeech, please install "
"`pip install google-cloud-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]@deprecated(
since="0.0.33",
removal="1.0",
alternative_import="langchain_google_community.TextToSpeechTool",
)
class GoogleCloudTextToSpeechTool(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