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https://github.com/xinnan-tech/xiaozhi-esp32-server.git
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87 lines
3.1 KiB
Python
87 lines
3.1 KiB
Python
import uuid
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import json
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import base64
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import requests
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from core.utils.util import check_model_key
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from core.providers.tts.base import TTSProviderBase
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from config.logger import setup_logging
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TAG = __name__
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logger = setup_logging()
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class TTSProvider(TTSProviderBase):
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def __init__(self, config, delete_audio_file):
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super().__init__(config, delete_audio_file)
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if config.get("appid"):
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self.appid = int(config.get("appid"))
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else:
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self.appid = ""
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self.access_token = config.get("access_token")
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self.cluster = config.get("cluster")
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if config.get("private_voice"):
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self.voice = config.get("private_voice")
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else:
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self.voice = config.get("voice")
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# 处理空字符串的情况
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speed_ratio = config.get("speed_ratio", "1.0")
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volume_ratio = config.get("volume_ratio", "1.0")
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pitch_ratio = config.get("pitch_ratio", "1.0")
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self.audio_file_type = config.get("format", "wav")
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self.speed_ratio = float(speed_ratio) if speed_ratio else 1.0
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self.volume_ratio = float(volume_ratio) if volume_ratio else 1.0
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self.pitch_ratio = float(pitch_ratio) if pitch_ratio else 1.0
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self.api_url = config.get("api_url")
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self.authorization = config.get("authorization")
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self.header = {"Authorization": f"{self.authorization}{self.access_token}"}
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model_key_msg = check_model_key("TTS", self.access_token)
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if model_key_msg:
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logger.bind(tag=TAG).error(model_key_msg)
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async def text_to_speak(self, text, output_file):
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request_json = {
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"app": {
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"appid": f"{self.appid}",
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"token": self.access_token,
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"cluster": self.cluster,
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},
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"user": {"uid": "1"},
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"audio": {
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"voice_type": self.voice,
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"encoding": self.audio_file_type,
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"speed_ratio": self.speed_ratio,
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"volume_ratio": self.volume_ratio,
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"pitch_ratio": self.pitch_ratio,
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},
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"request": {
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"reqid": str(uuid.uuid4()),
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"text": text,
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"text_type": "plain",
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"operation": "query",
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"with_frontend": 1,
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"frontend_type": "unitTson",
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},
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}
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try:
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resp = requests.post(
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self.api_url, json.dumps(request_json), headers=self.header
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)
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if "data" in resp.json():
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data = resp.json()["data"]
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audio_bytes = base64.b64decode(data)
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if output_file:
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with open(output_file, "wb") as file_to_save:
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file_to_save.write(audio_bytes)
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else:
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return audio_bytes
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else:
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raise Exception(
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f"{__name__} status_code: {resp.status_code} response: {resp.content}"
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)
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except Exception as e:
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raise Exception(f"{__name__} error: {e}")
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