61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
import requests
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import logging
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from .BaseAudioService import BaseAudioService
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logger = logging.getLogger(__name__)
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class TencentAudioService(BaseAudioService):
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def get_token(self):
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# 实现腾讯云获取token的逻辑
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url = "https://your.tencent.token.endpoint"
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data = {
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'api_key': self.api_key,
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'api_secret': self.api_secret
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}
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response = requests.post(url, data=data)
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return response.json().get('access_token')
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def synthesize_speech(self, text, language='en'):
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# 实现腾讯云语音合成的逻辑
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token = self.get_token()
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url = "https://your.tencent.synthesis.endpoint"
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headers = {
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'Authorization': f'Bearer {token}',
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'Content-Type': 'application/json'
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}
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data = {
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'text': text,
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'language': language
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}
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response = requests.post(url, headers=headers, json=data)
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return response.content
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def synthesize_speech_raw(self, text, language='en'):
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"""
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Generate speech from text and return the raw audio data directly
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without storing it or creating a URL
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Args:
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text (str): The text to convert to speech
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language (str, optional): Language code. Defaults to 'en'.
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Returns:
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bytes: Raw audio data
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"""
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# 在腾讯云的实现中，synthesize_speech 已经返回原始数据
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# 所以这里直接调用那个方法即可
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logger.info('Synthesizing speech with raw data return (Tencent)')
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return self.synthesize_speech(text, language)
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def recognize_speech(self, audio_data, language='en') -> str:
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# 实现腾讯云语音识别的逻辑
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token = self.get_token()
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url = "https://your.tencent.recognition.endpoint"
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headers = {
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'Authorization': f'Bearer {token}',
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'Content-Type': 'audio/wav' # 根据实际情况修改
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}
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response = requests.post(url, headers=headers, data=audio_data)
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return response.json()
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