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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TTS_PARAM_CONFIG = [
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("ttsRate", "speed", 0.25, 4, 1, lambda v: round(float(v), 2)),
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]
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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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self.api_key = config.get("api_key")
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self.api_url = config.get("api_url", "https://api.openai.com/v1/audio/speech")
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self.model = config.get("model", "tts-1")
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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", "alloy")
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self.audio_file_type = config.get("format", "wav")
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# 处理空字符串的情况
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speed = config.get("speed", "1.0")
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self.speed = float(speed) if speed else 1.0
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# 应用百分比调整（如果存在），否则使用公有化配置
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self._apply_percentage_params(config)
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self.output_file = config.get("output_dir", "tmp/")
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model_key_msg = check_model_key("TTS", self.api_key)
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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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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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}
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data = {
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"model": self.model,
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"input": text,
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"voice": self.voice,
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"response_format": self.audio_file_type,
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"speed": self.speed,
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}
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response = requests.post(
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self.api_url, json=data, headers=headers, timeout=self.tts_timeout
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)
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if response.status_code == 200:
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if output_file:
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with open(output_file, "wb") as audio_file:
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audio_file.write(response.content)
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else:
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return response.content
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else:
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raise Exception(
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f"OpenAI TTS请求失败: {response.status_code} - {response.text}"
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)
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