52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
import aiohttp
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import os
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import requests
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import time
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from typing import AsyncGenerator
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from dailyai.services.ai_services import TTSService
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class ElevenLabsTTSService(TTSService):
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def __init__(
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self,
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*,
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aiohttp_session: aiohttp.ClientSession,
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api_key,
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narrator,
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model="eleven_turbo_v2",
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aggregate_sentences=True
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):
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super().__init__(aggregate_sentences)
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self._api_key = api_key
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self._narrator = narrator
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self._aiohttp_session = aiohttp_session
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self._model = model
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async def run_tts(self, sentence) -> AsyncGenerator[bytes, None]:
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url = f"https://api.elevenlabs.io/v1/text-to-speech/{self._narrator['narrator']['voice_id']}/stream"
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payload = {"text": sentence, "model_id": self._model}
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querystring = {
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"output_format": "pcm_16000",
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"optimize_streaming_latency": 2}
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headers = {
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"xi-api-key": self._api_key,
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"Content-Type": "application/json",
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}
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async with self._aiohttp_session.post(
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url, json=payload, headers=headers, params=querystring
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) as r:
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if r.status != 200:
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self.logger.error(
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f"audio fetch status code: {r.status}, error: {r.text}"
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)
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return
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async for chunk in r.content:
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if chunk:
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yield chunk
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