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  {
   "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)"
   ]
  }
 ],
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