feat: Add Google Cloud Text-to-Speech Tool (#12572)

- Add Tool for [Google Cloud
Text-to-Speech](https://cloud.google.com/text-to-speech)
- Follows similar structure to [Eleven Labs
Text2Speech](https://python.langchain.com/docs/integrations/tools/eleven_labs_tts)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
This commit is contained in:
Holt Skinner
2023-10-30 16:05:39 -05:00
committed by GitHub
parent 1f2c672d4a
commit e53b9ccd70
6 changed files with 205 additions and 0 deletions

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{
"cells": [
{
"cell_type": "markdown",
"id": "a991a6f8-1897-4f49-a191-ae3bdaeda856",
"metadata": {},
"source": [
"# Google Cloud Text-to-Speech\n",
"\n",
"This notebook shows how to interact with the `Google Cloud Text-to-Speech API` to achieve speech synthesis capabilities."
]
},
{
"cell_type": "markdown",
"id": "9eeb311e-e1bd-4959-8536-4d267f302eb3",
"metadata": {},
"source": [
"First, you need to set up an Google Cloud project. You can follow the instructions [here](https://cloud.google.com/text-to-speech/docs/before-you-begin)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "0a309c0e-5310-4eaa-8af9-bcbc252e45da",
"metadata": {},
"outputs": [],
"source": [
"# !pip install google-cloud-text-to-speech"
]
},
{
"cell_type": "markdown",
"id": "434b2454-2bff-484d-822c-4026a9dc1383",
"metadata": {},
"source": [
"## Usage"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2f57a647-9214-4562-a8cf-f263a15d1f40",
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools import GoogleCloudTextToSpeechTool\n",
"\n",
"text_to_speak = \"Hello world!\"\n",
"\n",
"tts = GoogleCloudTextToSpeechTool()\n",
"tts.name"
]
},
{
"cell_type": "markdown",
"id": "d4613fed-66f0-47c6-be50-7e7670654427",
"metadata": {},
"source": [
"We can generate audio, save it to the temporary file and then play it."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f1984844-aa75-4f83-9d42-1c8052d87cc0",
"metadata": {},
"outputs": [],
"source": [
"speech_file = tts.run(text_to_speak)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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