mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-01-23 13:35:12 +03:00
113 lines
2.9 KiB
Python
113 lines
2.9 KiB
Python
from enum import Enum
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import os
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import sys
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import tempfile
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from typing import Literal, TypeAlias
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ModelType: TypeAlias = Literal[
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"MMVCv15",
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"MMVCv13",
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"so-vits-svc-40v2",
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"so-vits-svc-40",
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"so-vits-svc-40_c",
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"DDSP-SVC",
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"RVC",
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]
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ERROR_NO_ONNX_SESSION = "ERROR_NO_ONNX_SESSION"
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tmpdir = tempfile.TemporaryDirectory()
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# print("generate tmpdir:::",tmpdir)
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SSL_KEY_DIR = os.path.join(tmpdir.name, "keys") if hasattr(sys, "_MEIPASS") else "keys"
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MODEL_DIR = os.path.join(tmpdir.name, "logs") if hasattr(sys, "_MEIPASS") else "logs"
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UPLOAD_DIR = (
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os.path.join(tmpdir.name, "upload_dir")
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if hasattr(sys, "_MEIPASS")
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else "upload_dir"
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)
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NATIVE_CLIENT_FILE_WIN = (
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os.path.join(sys._MEIPASS, "voice-changer-native-client.exe") # type: ignore
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if hasattr(sys, "_MEIPASS")
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else "voice-changer-native-client"
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)
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NATIVE_CLIENT_FILE_MAC = (
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os.path.join(
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sys._MEIPASS, # type: ignore
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"voice-changer-native-client.app",
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"Contents",
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"MacOS",
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"voice-changer-native-client",
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)
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if hasattr(sys, "_MEIPASS")
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else "voice-changer-native-client"
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)
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HUBERT_ONNX_MODEL_PATH = (
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os.path.join(sys._MEIPASS, "model_hubert/hubert_simple.onnx") # type: ignore
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if hasattr(sys, "_MEIPASS")
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else "model_hubert/hubert_simple.onnx"
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)
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TMP_DIR = (
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os.path.join(tmpdir.name, "tmp_dir") if hasattr(sys, "_MEIPASS") else "tmp_dir"
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)
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os.makedirs(TMP_DIR, exist_ok=True)
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def getFrontendPath():
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frontend_path = (
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os.path.join(sys._MEIPASS, "dist")
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if hasattr(sys, "_MEIPASS")
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else "../client/demo/dist"
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)
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return frontend_path
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# "hubert_base", "contentvec", "distilhubert"
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class EnumEmbedderTypes(Enum):
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hubert = "hubert_base"
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contentvec = "contentvec"
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hubert_jp = "hubert-base-japanese"
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class EnumInferenceTypes(Enum):
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pyTorchRVC = "pyTorchRVC"
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pyTorchRVCNono = "pyTorchRVCNono"
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pyTorchRVCv2 = "pyTorchRVCv2"
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pyTorchRVCv2Nono = "pyTorchRVCv2Nono"
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pyTorchWebUI = "pyTorchWebUI"
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pyTorchWebUINono = "pyTorchWebUINono"
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onnxRVC = "onnxRVC"
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onnxRVCNono = "onnxRVCNono"
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class EnumPitchExtractorTypes(Enum):
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harvest = "harvest"
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dio = "dio"
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crepe = "crepe"
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class EnumFrameworkTypes(Enum):
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pyTorch = "pyTorch"
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onnx = "onnx"
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class ServerAudioDeviceTypes(Enum):
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audioinput = "audioinput"
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audiooutput = "audiooutput"
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SAMPLES_JSONS = [
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# "https://huggingface.co/wok000/vcclient_model/raw/main/samples_0001.json",
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# "https://huggingface.co/wok000/vcclient_model/raw/main/samples_0002.json",
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# "https://huggingface.co/wok000/vcclient_model/raw/main/samples_0003_t.json",
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# "https://huggingface.co/wok000/vcclient_model/raw/main/samples_0003_o.json",
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"https://huggingface.co/wok000/vcclient_model/raw/main/test/test_official_v1_v2.jsona",
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"https://huggingface.co/wok000/vcclient_model/raw/main/test/test_ddpn_v1_v2.jsona",
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]
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RVC_MODEL_DIRNAME = "rvc"
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RVC_MAX_SLOT_NUM = 10
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