48 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
			
		
		
	
	
			48 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
| from aip import AipSpeech
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| from django.conf import settings
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| import uuid
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| import os
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| from django.utils import timezone
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| from asgiref.sync import async_to_sync
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| 
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| 
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| def generate_voice(msg: str, per: int = 0):
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|     """文本生成语音
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| 
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|     Args:
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|         msg (str): 文本
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|         per (int): 男/女声
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| 
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|     Returns:
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|         bool: 成功
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|         str: 地址
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|         dict: result
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|     """
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|     file_name = '{}.mp3'.format(uuid.uuid4())
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|     path = '/media/' + timezone.now().strftime('%Y/%m/%d/')
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|     full_path = settings.BASE_DIR + path
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|     if not os.path.exists(full_path):
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|         os.makedirs(full_path)
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|     result = None
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|     if getattr(settings, 'BD_SP_ENABLED', False):
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|         client = AipSpeech(settings.BD_SP_ID, settings.BD_SP_KEY, settings.BD_SP_SECRET)
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|         result = client.synthesis(msg, 'zh', 1, {'vol': 5, 'spd': 5, 'per': per})
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|         # 识别正确返回语音二进制 错误则返回dict 参照下面错误码
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|         if not isinstance(result, dict):
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|             with open(full_path + file_name, 'wb') as f:
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|                 f.write(result)
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|                 return True, path + file_name, None
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|     elif getattr(settings, 'EDGE_TTS_ENABLED', False):
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|         import edge_tts
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|         if per == 0:
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|             per = 'zh-CN-XiaoxiaoNeural'
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|         else:
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|             per = 'zh-CN-YunjianNeural'
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|         communicate = edge_tts.Communicate(msg, per)
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|         try:
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|             async_to_sync(communicate.save(full_path + file_name))
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|             return True, path + file_name, None
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|         except Exception as e:
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|             result = str(e)
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|     return False, None, result
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