voice-changer/server/voice_changer/VoiceChangerManager.py
2023-05-07 04:18:18 +09:00

69 lines
2.3 KiB
Python

import numpy as np
from voice_changer.VoiceChanger import VoiceChanger
from const import ModelType
from voice_changer.utils.LoadModelParams import LoadModelParams
from voice_changer.utils.VoiceChangerModel import AudioInOut
from voice_changer.utils.VoiceChangerParams import VoiceChangerParams
class VoiceChangerManager(object):
_instance = None
voiceChanger: VoiceChanger = None
@classmethod
def get_instance(cls, params: VoiceChangerParams):
if cls._instance is None:
cls._instance = cls()
cls._instance.voiceChanger = VoiceChanger(params)
return cls._instance
def loadModel(self, props: LoadModelParams):
info = self.voiceChanger.loadModel(props)
if hasattr(info, "status") and info["status"] == "NG":
return info
else:
info["status"] = "OK"
return info
def get_info(self):
if hasattr(self, "voiceChanger"):
info = self.voiceChanger.get_info()
info["status"] = "OK"
return info
else:
return {"status": "ERROR", "msg": "no model loaded"}
def get_performance(self):
if hasattr(self, "voiceChanger"):
info = self.voiceChanger.get_performance()
return info
else:
return {"status": "ERROR", "msg": "no model loaded"}
def update_settings(self, key: str, val: str | int | float):
if hasattr(self, "voiceChanger"):
info = self.voiceChanger.update_settings(key, val)
info["status"] = "OK"
return info
else:
return {"status": "ERROR", "msg": "no model loaded"}
def changeVoice(self, receivedData: AudioInOut):
if hasattr(self, "voiceChanger") is True:
return self.voiceChanger.on_request(receivedData)
else:
print("Voice Change is not loaded. Did you load a correct model?")
return np.zeros(1).astype(np.int16), []
def switchModelType(self, modelType: ModelType):
return self.voiceChanger.switchModelType(modelType)
def getModelType(self):
return self.voiceChanger.getModelType()
def export2onnx(self):
return self.voiceChanger.export2onnx()
def merge_models(self, request: str):
return self.voiceChanger.merge_models(request)