Delete gui.py

gui.py

@@ -1,1114 +0,0 @@
-import os
-import sys
-from dotenv import load_dotenv
-import shutil
-
-load_dotenv()
-load_dotenv("sha256.env")
-
-os.environ["OMP_NUM_THREADS"] = "4"
-if sys.platform == "darwin":
-    os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
-
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-import multiprocessing
-
-flag_vc = False
-
-
-def printt(strr, *args):
-    if len(args) == 0:
-        print(strr)
-    else:
-        print(strr % args)
-
-
-def phase_vocoder(a, b, fade_out, fade_in):
-    window = torch.sqrt(fade_out * fade_in)
-    fa = torch.fft.rfft(a * window)
-    fb = torch.fft.rfft(b * window)
-    absab = torch.abs(fa) + torch.abs(fb)
-    n = a.shape[0]
-    if n % 2 == 0:
-        absab[1:-1] *= 2
-    else:
-        absab[1:] *= 2
-    phia = torch.angle(fa)
-    phib = torch.angle(fb)
-    deltaphase = phib - phia
-    deltaphase = deltaphase - 2 * np.pi * torch.floor(deltaphase / 2 / np.pi + 0.5)
-    w = 2 * np.pi * torch.arange(n // 2 + 1).to(a) + deltaphase
-    t = torch.arange(n).unsqueeze(-1).to(a) / n
-    result = (
-        a * (fade_out**2)
-        + b * (fade_in**2)
-        + torch.sum(absab * torch.cos(w * t + phia), -1) * window / n
-    )
-    return result
-
-
-class Harvest(multiprocessing.Process):
-    def __init__(self, inp_q, opt_q):
-        multiprocessing.Process.__init__(self)
-        self.inp_q = inp_q
-        self.opt_q = opt_q
-
-    def run(self):
-        import numpy as np
-        import pyworld
-
-        while 1:
-            idx, x, res_f0, n_cpu, ts = self.inp_q.get()
-            f0, t = pyworld.harvest(
-                x.astype(np.double),
-                fs=16000,
-                f0_ceil=1100,
-                f0_floor=50,
-                frame_period=10,
-            )
-            res_f0[idx] = f0
-            if len(res_f0.keys()) >= n_cpu:
-                self.opt_q.put(ts)
-
-
-if __name__ == "__main__":
-    import json
-    import multiprocessing
-    import re
-    import time
-    from multiprocessing import Queue, cpu_count
-
-    import librosa
-    from infer.modules.gui import TorchGate
-    import numpy as np
-    import FreeSimpleGUI as sg
-    import sounddevice as sd
-    import torch
-    import torch.nn.functional as F
-    import torchaudio.transforms as tat
-
-    import infer.lib.rtrvc as rtrvc
-    from i18n.i18n import I18nAuto
-    from configs import Config
-
-    i18n = I18nAuto()
-
-    # device = rvc_for_realtime.config.device
-    # device = torch.device(
-    #     "cuda"
-    #     if torch.cuda.is_available()
-    #     else ("mps" if torch.backends.mps.is_available() else "cpu")
-    # )
-    current_dir = os.getcwd()
-    inp_q = Queue()
-    opt_q = Queue()
-    n_cpu = min(cpu_count(), 8)
-    for _ in range(n_cpu):
-        p = Harvest(inp_q, opt_q)
-        p.daemon = True
-        p.start()
-
-    class GUIConfig:
-        def __init__(self) -> None:
-            self.pth_path: str = ""
-            self.index_path: str = ""
-            self.pitch: int = 0
-            self.formant: float = 0.0
-            self.sr_type: str = "sr_model"
-            self.block_time: float = 0.25  # s
-            self.threhold: int = -60
-            self.crossfade_time: float = 0.05
-            self.extra_time: float = 2.5
-            self.I_noise_reduce: bool = False
-            self.O_noise_reduce: bool = False
-            self.use_pv: bool = False
-            self.rms_mix_rate: float = 0.0
-            self.index_rate: float = 0.0
-            self.n_cpu: int = min(n_cpu, 4)
-            self.f0method: str = "fcpe"
-            self.sg_hostapi: str = ""
-            self.wasapi_exclusive: bool = False
-            self.sg_input_device: str = ""
-            self.sg_output_device: str = ""
-
-    class GUI:
-        def __init__(self) -> None:
-            self.gui_config = GUIConfig()
-            self.config = Config()
-            self.function = "vc"
-            self.delay_time = 0
-            self.hostapis = None
-            self.input_devices = None
-            self.output_devices = None
-            self.input_devices_indices = None
-            self.output_devices_indices = None
-            self.stream = None
-            self.update_devices()
-            self.launcher()
-
-        def check_assets(self):
-            global now_dir
-            from infer.lib.rvcmd import check_all_assets, download_all_assets
-
-            tmp = os.path.join(now_dir, "TEMP")
-            shutil.rmtree(tmp, ignore_errors=True)
-            os.makedirs(tmp, exist_ok=True)
-            if not check_all_assets(update=self.config.update):
-                if self.config.update:
-                    download_all_assets(tmpdir=tmp)
-                    if not check_all_assets(update=self.config.update):
-                        printt("counld not satisfy all assets needed.")
-                        exit(1)
-
-        def load(self):
-            try:
-                if not os.path.exists("configs/inuse/config.json"):
-                    shutil.copy("configs/config.json", "configs/inuse/config.json")
-                with open("configs/inuse/config.json", "r") as j:
-                    data = json.load(j)
-                    data["sr_model"] = data["sr_type"] == "sr_model"
-                    data["sr_device"] = data["sr_type"] == "sr_device"
-                    data["pm"] = data["f0method"] == "pm"
-                    data["dio"] = data["f0method"] == "dio"
-                    data["harvest"] = data["f0method"] == "harvest"
-                    data["crepe"] = data["f0method"] == "crepe"
-                    data["rmvpe"] = data["f0method"] == "rmvpe"
-                    data["fcpe"] = data["f0method"] == "fcpe"
-                    if data["sg_hostapi"] in self.hostapis:
-                        self.update_devices(hostapi_name=data["sg_hostapi"])
-                        if (
-                            data["sg_input_device"] not in self.input_devices
-                            or data["sg_output_device"] not in self.output_devices
-                        ):
-                            self.update_devices()
-                            data["sg_hostapi"] = self.hostapis[0]
-                            data["sg_input_device"] = self.input_devices[
-                                self.input_devices_indices.index(sd.default.device[0])
-                            ]
-                            data["sg_output_device"] = self.output_devices[
-                                self.output_devices_indices.index(sd.default.device[1])
-                            ]
-                    else:
-                        data["sg_hostapi"] = self.hostapis[0]
-                        data["sg_input_device"] = self.input_devices[
-                            self.input_devices_indices.index(sd.default.device[0])
-                        ]
-                        data["sg_output_device"] = self.output_devices[
-                            self.output_devices_indices.index(sd.default.device[1])
-                        ]
-            except:
-                with open("configs/inuse/config.json", "w") as j:
-                    data = {
-                        "pth_path": "",
-                        "index_path": "",
-                        "sg_hostapi": self.hostapis[0],
-                        "sg_wasapi_exclusive": False,
-                        "sg_input_device": self.input_devices[
-                            self.input_devices_indices.index(sd.default.device[0])
-                        ],
-                        "sg_output_device": self.output_devices[
-                            self.output_devices_indices.index(sd.default.device[1])
-                        ],
-                        "sr_type": "sr_model",
-                        "threhold": -60,
-                        "pitch": 0,
-                        "formant": 0.0,
-                        "index_rate": 0,
-                        "rms_mix_rate": 0,
-                        "block_time": 0.25,
-                        "crossfade_length": 0.05,
-                        "extra_time": 2.5,
-                        "n_cpu": 4,
-                        "f0method": "rmvpe",
-                        "use_jit": False,
-                        "use_pv": False,
-                    }
-                    data["sr_model"] = data["sr_type"] == "sr_model"
-                    data["sr_device"] = data["sr_type"] == "sr_device"
-                    data["pm"] = data["f0method"] == "pm"
-                    data["dio"] = data["f0method"] == "dio"
-                    data["harvest"] = data["f0method"] == "harvest"
-                    data["crepe"] = data["f0method"] == "crepe"
-                    data["rmvpe"] = data["f0method"] == "rmvpe"
-                    data["fcpe"] = data["f0method"] == "fcpe"
-            return data
-
-        def launcher(self):
-            data = self.load()
-            self.config.use_jit = False  # data.get("use_jit", self.config.use_jit)
-            sg.theme("LightBlue3")
-            layout = [
-                [
-                    sg.Frame(
-                        title=i18n("Load model"),
-                        layout=[
-                            [
-                                sg.Input(
-                                    default_text=data.get("pth_path", ""),
-                                    key="pth_path",
-                                ),
-                                sg.FileBrowse(
-                                    i18n("Select the .pth file"),
-                                    initial_folder=os.path.join(
-                                        os.getcwd(), "assets/weights"
-                                    ),
-                                    file_types=[("Model File", "*.pth")],
-                                ),
-                            ],
-                            [
-                                sg.Input(
-                                    default_text=data.get("index_path", ""),
-                                    key="index_path",
-                                ),
-                                sg.FileBrowse(
-                                    i18n("Select the .index file"),
-                                    initial_folder=os.path.join(os.getcwd(), "logs"),
-                                    file_types=[("Index File", "*.index")],
-                                ),
-                            ],
-                        ],
-                    )
-                ],
-                [
-                    sg.Frame(
-                        layout=[
-                            [
-                                sg.Text(i18n("Device type")),
-                                sg.Combo(
-                                    self.hostapis,
-                                    key="sg_hostapi",
-                                    default_value=data.get("sg_hostapi", ""),
-                                    enable_events=True,
-                                    size=(20, 1),
-                                ),
-                                sg.Checkbox(
-                                    i18n("Takeover WASAPI device"),
-                                    key="sg_wasapi_exclusive",
-                                    default=data.get("sg_wasapi_exclusive", False),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Input device")),
-                                sg.Combo(
-                                    self.input_devices,
-                                    key="sg_input_device",
-                                    default_value=data.get("sg_input_device", ""),
-                                    enable_events=True,
-                                    size=(45, 1),
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Output device")),
-                                sg.Combo(
-                                    self.output_devices,
-                                    key="sg_output_device",
-                                    default_value=data.get("sg_output_device", ""),
-                                    enable_events=True,
-                                    size=(45, 1),
-                                ),
-                            ],
-                            [
-                                sg.Button(
-                                    i18n("Reload device list"), key="reload_devices"
-                                ),
-                                sg.Radio(
-                                    i18n("Choose sample rate of the model"),
-                                    "sr_type",
-                                    key="sr_model",
-                                    default=data.get("sr_model", True),
-                                    enable_events=True,
-                                ),
-                                sg.Radio(
-                                    i18n("Choose sample rate of the device"),
-                                    "sr_type",
-                                    key="sr_device",
-                                    default=data.get("sr_device", False),
-                                    enable_events=True,
-                                ),
-                                sg.Text(i18n("Sampling rate")),
-                                sg.Text("", key="sr_stream"),
-                            ],
-                        ],
-                        title=i18n("Audio device"),
-                    )
-                ],
-                [
-                    sg.Frame(
-                        layout=[
-                            [
-                                sg.Text(i18n("Response threshold")),
-                                sg.Slider(
-                                    range=(-60, 0),
-                                    key="threhold",
-                                    resolution=1,
-                                    orientation="h",
-                                    default_value=data.get("threhold", -60),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Pitch settings")),
-                                sg.Slider(
-                                    range=(-24, 24),
-                                    key="pitch",
-                                    resolution=1,
-                                    orientation="h",
-                                    default_value=data.get("pitch", 0),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Formant offset")),
-                                sg.Slider(
-                                    range=(-5, 5),
-                                    key="formant",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("formant", 0.0),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Feature searching ratio")),
-                                sg.Slider(
-                                    range=(0.0, 1.0),
-                                    key="index_rate",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("index_rate", 0),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Loudness factor")),
-                                sg.Slider(
-                                    range=(0.0, 1.0),
-                                    key="rms_mix_rate",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("rms_mix_rate", 0),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Pitch detection algorithm")),
-                                sg.Radio(
-                                    "pm",
-                                    "f0method",
-                                    key="pm",
-                                    default=data.get("pm", False),
-                                    enable_events=True,
-                                ),
-                                sg.Radio(
-                                    "dio",
-                                    "f0method",
-                                    key="dio",
-                                    default=data.get("dio", False),
-                                    enable_events=True,
-                                ),
-                                sg.Radio(
-                                    "harvest",
-                                    "f0method",
-                                    key="harvest",
-                                    default=data.get("harvest", False),
-                                    enable_events=True,
-                                ),
-                                sg.Radio(
-                                    "crepe",
-                                    "f0method",
-                                    key="crepe",
-                                    default=data.get("crepe", False),
-                                    enable_events=True,
-                                ),
-                                sg.Radio(
-                                    "rmvpe",
-                                    "f0method",
-                                    key="rmvpe",
-                                    default=data.get("rmvpe", False),
-                                    enable_events=True,
-                                ),
-                                sg.Radio(
-                                    "fcpe",
-                                    "f0method",
-                                    key="fcpe",
-                                    default=data.get("fcpe", True),
-                                    enable_events=True,
-                                ),
-                            ],
-                        ],
-                        title=i18n("General settings"),
-                    ),
-                    sg.Frame(
-                        layout=[
-                            [
-                                sg.Text(i18n("Sample length")),
-                                sg.Slider(
-                                    range=(0.02, 1.5),
-                                    key="block_time",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("block_time", 0.25),
-                                    enable_events=True,
-                                ),
-                            ],
-                            # [
-                            #     sg.Text("设备延迟"),
-                            #     sg.Slider(
-                            #         range=(0, 1),
-                            #         key="device_latency",
-                            #         resolution=0.001,
-                            #         orientation="h",
-                            #         default_value=data.get("device_latency", 0.1),
-                            #         enable_events=True,
-                            #     ),
-                            # ],
-                            [
-                                sg.Text(
-                                    i18n(
-                                        "Number of CPU processes used for harvest pitch algorithm"
-                                    )
-                                ),
-                                sg.Slider(
-                                    range=(1, n_cpu),
-                                    key="n_cpu",
-                                    resolution=1,
-                                    orientation="h",
-                                    default_value=data.get(
-                                        "n_cpu", min(self.gui_config.n_cpu, n_cpu)
-                                    ),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Fade length")),
-                                sg.Slider(
-                                    range=(0.01, 0.15),
-                                    key="crossfade_length",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("crossfade_length", 0.05),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Text(i18n("Extra inference time")),
-                                sg.Slider(
-                                    range=(0.05, 5.00),
-                                    key="extra_time",
-                                    resolution=0.01,
-                                    orientation="h",
-                                    default_value=data.get("extra_time", 2.5),
-                                    enable_events=True,
-                                ),
-                            ],
-                            [
-                                sg.Checkbox(
-                                    i18n("Input noise reduction"),
-                                    key="I_noise_reduce",
-                                    enable_events=True,
-                                ),
-                                sg.Checkbox(
-                                    i18n("Output noise reduction"),
-                                    key="O_noise_reduce",
-                                    enable_events=True,
-                                ),
-                                sg.Checkbox(
-                                    i18n("Enable phase vocoder"),
-                                    key="use_pv",
-                                    default=data.get("use_pv", False),
-                                    enable_events=True,
-                                ),
-                                # sg.Checkbox(
-                                #     "JIT加速",
-                                #     default=self.config.use_jit,
-                                #     key="use_jit",
-                                #     enable_events=False,
-                                # ),
-                            ],
-                            # [sg.Text("注：首次使用JIT加速时，会出现卡顿，\n      并伴随一些噪音，但这是正常现象！")],
-                        ],
-                        title=i18n("Performance settings"),
-                    ),
-                ],
-                [
-                    sg.Button(i18n("Start audio conversion"), key="start_vc"),
-                    sg.Button(i18n("Stop audio conversion"), key="stop_vc"),
-                    sg.Radio(
-                        i18n("Input voice monitor"),
-                        "function",
-                        key="im",
-                        default=False,
-                        enable_events=True,
-                    ),
-                    sg.Radio(
-                        i18n("Output converted voice"),
-                        "function",
-                        key="vc",
-                        default=True,
-                        enable_events=True,
-                    ),
-                    sg.Text(i18n("Algorithmic delays (ms)")),
-                    sg.Text("0", key="delay_time"),
-                    sg.Text(i18n("Inference time (ms)")),
-                    sg.Text("0", key="infer_time"),
-                ],
-            ]
-            self.window = sg.Window("RVC - GUI", layout=layout, finalize=True)
-            self.event_handler()
-
-        def event_handler(self):
-            global flag_vc
-            while True:
-                event, values = self.window.read()
-                if event == sg.WINDOW_CLOSED:
-                    self.stop_stream()
-                    exit()
-                if event == "reload_devices" or event == "sg_hostapi":
-                    self.gui_config.sg_hostapi = values["sg_hostapi"]
-                    self.update_devices(hostapi_name=values["sg_hostapi"])
-                    if self.gui_config.sg_hostapi not in self.hostapis:
-                        self.gui_config.sg_hostapi = self.hostapis[0]
-                    self.window["sg_hostapi"].Update(values=self.hostapis)
-                    self.window["sg_hostapi"].Update(value=self.gui_config.sg_hostapi)
-                    if (
-                        self.gui_config.sg_input_device not in self.input_devices
-                        and len(self.input_devices) > 0
-                    ):
-                        self.gui_config.sg_input_device = self.input_devices[0]
-                    self.window["sg_input_device"].Update(values=self.input_devices)
-                    self.window["sg_input_device"].Update(
-                        value=self.gui_config.sg_input_device
-                    )
-                    if self.gui_config.sg_output_device not in self.output_devices:
-                        self.gui_config.sg_output_device = self.output_devices[0]
-                    self.window["sg_output_device"].Update(values=self.output_devices)
-                    self.window["sg_output_device"].Update(
-                        value=self.gui_config.sg_output_device
-                    )
-                if event == "start_vc" and not flag_vc:
-                    if self.set_values(values) == True:
-                        printt("cuda_is_available: %s", torch.cuda.is_available())
-                        self.start_vc()
-                        settings = {
-                            "pth_path": values["pth_path"],
-                            "index_path": values["index_path"],
-                            "sg_hostapi": values["sg_hostapi"],
-                            "sg_wasapi_exclusive": values["sg_wasapi_exclusive"],
-                            "sg_input_device": values["sg_input_device"],
-                            "sg_output_device": values["sg_output_device"],
-                            "sr_type": ["sr_model", "sr_device"][
-                                [
-                                    values["sr_model"],
-                                    values["sr_device"],
-                                ].index(True)
-                            ],
-                            "threhold": values["threhold"],
-                            "pitch": values["pitch"],
-                            "formant": values["formant"],
-                            "rms_mix_rate": values["rms_mix_rate"],
-                            "index_rate": values["index_rate"],
-                            # "device_latency": values["device_latency"],
-                            "block_time": values["block_time"],
-                            "crossfade_length": values["crossfade_length"],
-                            "extra_time": values["extra_time"],
-                            "n_cpu": values["n_cpu"],
-                            # "use_jit": values["use_jit"],
-                            "use_jit": False,
-                            "use_pv": values["use_pv"],
-                            "f0method": [
-                                "pm",
-                                "dio",
-                                "harvest",
-                                "crepe",
-                                "rmvpe",
-                                "fcpe",
-                            ][
-                                [
-                                    values["pm"],
-                                    values["dio"],
-                                    values["harvest"],
-                                    values["crepe"],
-                                    values["rmvpe"],
-                                    values["fcpe"],
-                                ].index(True)
-                            ],
-                        }
-                        with open("configs/inuse/config.json", "w") as j:
-                            json.dump(settings, j)
-                        if self.stream is not None:
-                            self.delay_time = (
-                                self.stream.latency[-1]
-                                + values["block_time"]
-                                + values["crossfade_length"]
-                                + 0.01
-                            )
-                        if values["I_noise_reduce"]:
-                            self.delay_time += min(values["crossfade_length"], 0.04)
-                        self.window["sr_stream"].update(self.gui_config.samplerate)
-                        self.window["delay_time"].update(
-                            int(np.round(self.delay_time * 1000))
-                        )
-                # Parameter hot update
-                if event == "threhold":
-                    self.gui_config.threhold = values["threhold"]
-                elif event == "pitch":
-                    self.gui_config.pitch = values["pitch"]
-                    if hasattr(self, "rvc"):
-                        self.rvc.set_key(values["pitch"])
-                elif event == "formant":
-                    self.gui_config.formant = values["formant"]
-                    if hasattr(self, "rvc"):
-                        self.rvc.set_formant(values["formant"])
-                elif event == "index_rate":
-                    self.gui_config.index_rate = values["index_rate"]
-                    if hasattr(self, "rvc"):
-                        self.rvc.set_index_rate(values["index_rate"])
-                elif event == "rms_mix_rate":
-                    self.gui_config.rms_mix_rate = values["rms_mix_rate"]
-                elif event in ["pm", "dio", "harvest", "crepe", "rmvpe", "fcpe"]:
-                    self.gui_config.f0method = event
-                elif event == "I_noise_reduce":
-                    self.gui_config.I_noise_reduce = values["I_noise_reduce"]
-                    if self.stream is not None:
-                        self.delay_time += (
-                            1 if values["I_noise_reduce"] else -1
-                        ) * min(values["crossfade_length"], 0.04)
-                        self.window["delay_time"].update(
-                            int(np.round(self.delay_time * 1000))
-                        )
-                elif event == "O_noise_reduce":
-                    self.gui_config.O_noise_reduce = values["O_noise_reduce"]
-                elif event == "use_pv":
-                    self.gui_config.use_pv = values["use_pv"]
-                elif event in ["vc", "im"]:
-                    self.function = event
-                elif event == "stop_vc" or event != "start_vc":
-                    # Other parameters do not support hot update
-                    self.stop_stream()
-
-        def set_values(self, values):
-            if len(values["pth_path"].strip()) == 0:
-                sg.popup(i18n("Please choose the .pth file"))
-                return False
-            if len(values["index_path"].strip()) == 0:
-                sg.popup(i18n("Please choose the .index file"))
-                return False
-            pattern = re.compile("[^\x00-\x7F]+")
-            if pattern.findall(values["pth_path"]):
-                sg.popup(i18n("pth path cannot contain unicode characters"))
-                return False
-            if pattern.findall(values["index_path"]):
-                sg.popup(i18n("index path cannot contain unicode characters"))
-                return False
-            self.set_devices(values["sg_input_device"], values["sg_output_device"])
-            self.config.use_jit = False  # values["use_jit"]
-            # self.device_latency = values["device_latency"]
-            self.gui_config.sg_hostapi = values["sg_hostapi"]
-            self.gui_config.sg_wasapi_exclusive = values["sg_wasapi_exclusive"]
-            self.gui_config.sg_input_device = values["sg_input_device"]
-            self.gui_config.sg_output_device = values["sg_output_device"]
-            self.gui_config.pth_path = values["pth_path"]
-            self.gui_config.index_path = values["index_path"]
-            self.gui_config.sr_type = ["sr_model", "sr_device"][
-                [
-                    values["sr_model"],
-                    values["sr_device"],
-                ].index(True)
-            ]
-            self.gui_config.threhold = values["threhold"]
-            self.gui_config.pitch = values["pitch"]
-            self.gui_config.formant = values["formant"]
-            self.gui_config.block_time = values["block_time"]
-            self.gui_config.crossfade_time = values["crossfade_length"]
-            self.gui_config.extra_time = values["extra_time"]
-            self.gui_config.I_noise_reduce = values["I_noise_reduce"]
-            self.gui_config.O_noise_reduce = values["O_noise_reduce"]
-            self.gui_config.use_pv = values["use_pv"]
-            self.gui_config.rms_mix_rate = values["rms_mix_rate"]
-            self.gui_config.index_rate = values["index_rate"]
-            self.gui_config.n_cpu = values["n_cpu"]
-            self.gui_config.f0method = [
-                "pm",
-                "dio",
-                "harvest",
-                "crepe",
-                "rmvpe",
-                "fcpe",
-            ][
-                [
-                    values["pm"],
-                    values["dio"],
-                    values["harvest"],
-                    values["crepe"],
-                    values["rmvpe"],
-                    values["fcpe"],
-                ].index(True)
-            ]
-            return True
-
-        def start_vc(self):
-            torch.cuda.empty_cache()
-            self.rvc = rtrvc.RVC(
-                self.gui_config.pitch,
-                self.gui_config.formant,
-                self.gui_config.pth_path,
-                self.gui_config.index_path,
-                self.gui_config.index_rate,
-                self.gui_config.n_cpu,
-                self.config.device,
-                self.config.use_jit,
-                self.config.is_half,
-                self.config.dml,
-            )
-            self.gui_config.samplerate = (
-                self.rvc.tgt_sr
-                if self.gui_config.sr_type == "sr_model"
-                else self.get_device_samplerate()
-            )
-            self.gui_config.channels = self.get_device_channels()
-            self.zc = self.gui_config.samplerate // 100
-            self.block_frame = (
-                int(
-                    np.round(
-                        self.gui_config.block_time
-                        * self.gui_config.samplerate
-                        / self.zc
-                    )
-                )
-                * self.zc
-            )
-            self.block_frame_16k = 160 * self.block_frame // self.zc
-            self.crossfade_frame = (
-                int(
-                    np.round(
-                        self.gui_config.crossfade_time
-                        * self.gui_config.samplerate
-                        / self.zc
-                    )
-                )
-                * self.zc
-            )
-            self.sola_buffer_frame = min(self.crossfade_frame, 4 * self.zc)
-            self.sola_search_frame = self.zc
-            self.extra_frame = (
-                int(
-                    np.round(
-                        self.gui_config.extra_time
-                        * self.gui_config.samplerate
-                        / self.zc
-                    )
-                )
-                * self.zc
-            )
-            self.input_wav: torch.Tensor = torch.zeros(
-                self.extra_frame
-                + self.crossfade_frame
-                + self.sola_search_frame
-                + self.block_frame,
-                device=self.config.device,
-                dtype=torch.float32,
-            )
-            self.input_wav_denoise: torch.Tensor = self.input_wav.clone()
-            self.input_wav_res: torch.Tensor = torch.zeros(
-                160 * self.input_wav.shape[0] // self.zc,
-                device=self.config.device,
-                dtype=torch.float32,
-            )
-            self.rms_buffer: np.ndarray = np.zeros(4 * self.zc, dtype="float32")
-            self.sola_buffer: torch.Tensor = torch.zeros(
-                self.sola_buffer_frame, device=self.config.device, dtype=torch.float32
-            )
-            self.nr_buffer: torch.Tensor = self.sola_buffer.clone()
-            self.output_buffer: torch.Tensor = self.input_wav.clone()
-            self.skip_head = self.extra_frame // self.zc
-            self.return_length = (
-                self.block_frame + self.sola_buffer_frame + self.sola_search_frame
-            ) // self.zc
-            self.fade_in_window: torch.Tensor = (
-                torch.sin(
-                    0.5
-                    * np.pi
-                    * torch.linspace(
-                        0.0,
-                        1.0,
-                        steps=self.sola_buffer_frame,
-                        device=self.config.device,
-                        dtype=torch.float32,
-                    )
-                )
-                ** 2
-            )
-            self.fade_out_window: torch.Tensor = 1 - self.fade_in_window
-            self.resampler = tat.Resample(
-                orig_freq=self.gui_config.samplerate,
-                new_freq=16000,
-                dtype=torch.float32,
-            ).to(self.config.device)
-            if self.rvc.tgt_sr != self.gui_config.samplerate:
-                self.resampler2 = tat.Resample(
-                    orig_freq=self.rvc.tgt_sr,
-                    new_freq=self.gui_config.samplerate,
-                    dtype=torch.float32,
-                ).to(self.config.device)
-            else:
-                self.resampler2 = None
-            self.tg = TorchGate(
-                sr=self.gui_config.samplerate, n_fft=4 * self.zc, prop_decrease=0.9
-            ).to(self.config.device)
-            self.start_stream()
-
-        def start_stream(self):
-            global flag_vc
-            if not flag_vc:
-                flag_vc = True
-                if (
-                    "WASAPI" in self.gui_config.sg_hostapi
-                    and self.gui_config.sg_wasapi_exclusive
-                ):
-                    extra_settings = sd.WasapiSettings(exclusive=True)
-                else:
-                    extra_settings = None
-                self.stream = sd.Stream(
-                    callback=self.audio_callback,
-                    blocksize=self.block_frame,
-                    samplerate=self.gui_config.samplerate,
-                    channels=self.gui_config.channels,
-                    dtype="float32",
-                    extra_settings=extra_settings,
-                )
-                self.stream.start()
-
-        def stop_stream(self):
-            global flag_vc
-            if flag_vc:
-                flag_vc = False
-                if self.stream is not None:
-                    self.stream.abort()
-                    self.stream.close()
-                    self.stream = None
-
-        def audio_callback(
-            self, indata: np.ndarray, outdata: np.ndarray, frames, times, status
-        ):
-            """
-            音频处理
-            """
-            global flag_vc
-            start_time = time.perf_counter()
-            indata = librosa.to_mono(indata.T)
-            if self.gui_config.threhold > -60:
-                indata = np.append(self.rms_buffer, indata)
-                rms = librosa.feature.rms(
-                    y=indata, frame_length=4 * self.zc, hop_length=self.zc
-                )[:, 2:]
-                self.rms_buffer[:] = indata[-4 * self.zc :]
-                indata = indata[2 * self.zc - self.zc // 2 :]
-                db_threhold = (
-                    librosa.amplitude_to_db(rms, ref=1.0)[0] < self.gui_config.threhold
-                )
-                for i in range(db_threhold.shape[0]):
-                    if db_threhold[i]:
-                        indata[i * self.zc : (i + 1) * self.zc] = 0
-                indata = indata[self.zc // 2 :]
-            self.input_wav[: -self.block_frame] = self.input_wav[
-                self.block_frame :
-            ].clone()
-            self.input_wav[-indata.shape[0] :] = torch.from_numpy(indata).to(
-                self.config.device
-            )
-            self.input_wav_res[: -self.block_frame_16k] = self.input_wav_res[
-                self.block_frame_16k :
-            ].clone()
-            # input noise reduction and resampling
-            if self.gui_config.I_noise_reduce:
-                self.input_wav_denoise[: -self.block_frame] = self.input_wav_denoise[
-                    self.block_frame :
-                ].clone()
-                input_wav = self.input_wav[-self.sola_buffer_frame - self.block_frame :]
-                input_wav = self.tg(
-                    input_wav.unsqueeze(0), self.input_wav.unsqueeze(0)
-                ).squeeze(0)
-                input_wav[: self.sola_buffer_frame] *= self.fade_in_window
-                input_wav[: self.sola_buffer_frame] += (
-                    self.nr_buffer * self.fade_out_window
-                )
-                self.input_wav_denoise[-self.block_frame :] = input_wav[
-                    : self.block_frame
-                ]
-                self.nr_buffer[:] = input_wav[self.block_frame :]
-                self.input_wav_res[-self.block_frame_16k - 160 :] = self.resampler(
-                    self.input_wav_denoise[-self.block_frame - 2 * self.zc :]
-                )[160:]
-            else:
-                self.input_wav_res[-160 * (indata.shape[0] // self.zc + 1) :] = (
-                    self.resampler(self.input_wav[-indata.shape[0] - 2 * self.zc :])[
-                        160:
-                    ]
-                )
-            # infer
-            if self.function == "vc":
-                infer_wav = self.rvc.infer(
-                    self.input_wav_res,
-                    self.block_frame_16k,
-                    self.skip_head,
-                    self.return_length,
-                    self.gui_config.f0method,
-                )
-                if self.resampler2 is not None:
-                    infer_wav = self.resampler2(infer_wav)
-            elif self.gui_config.I_noise_reduce:
-                infer_wav = self.input_wav_denoise[self.extra_frame :].clone()
-            else:
-                infer_wav = self.input_wav[self.extra_frame :].clone()
-            # output noise reduction
-            if self.gui_config.O_noise_reduce and self.function == "vc":
-                self.output_buffer[: -self.block_frame] = self.output_buffer[
-                    self.block_frame :
-                ].clone()
-                self.output_buffer[-self.block_frame :] = infer_wav[-self.block_frame :]
-                infer_wav = self.tg(
-                    infer_wav.unsqueeze(0), self.output_buffer.unsqueeze(0)
-                ).squeeze(0)
-            # volume envelop mixing
-            if self.gui_config.rms_mix_rate < 1 and self.function == "vc":
-                if self.gui_config.I_noise_reduce:
-                    input_wav = self.input_wav_denoise[self.extra_frame :]
-                else:
-                    input_wav = self.input_wav[self.extra_frame :]
-                rms1 = librosa.feature.rms(
-                    y=input_wav[: infer_wav.shape[0]].cpu().numpy(),
-                    frame_length=4 * self.zc,
-                    hop_length=self.zc,
-                )
-                rms1 = torch.from_numpy(rms1).to(self.config.device)
-                rms1 = F.interpolate(
-                    rms1.unsqueeze(0),
-                    size=infer_wav.shape[0] + 1,
-                    mode="linear",
-                    align_corners=True,
-                )[0, 0, :-1]
-                rms2 = librosa.feature.rms(
-                    y=infer_wav[:].cpu().numpy(),
-                    frame_length=4 * self.zc,
-                    hop_length=self.zc,
-                )
-                rms2 = torch.from_numpy(rms2).to(self.config.device)
-                rms2 = F.interpolate(
-                    rms2.unsqueeze(0),
-                    size=infer_wav.shape[0] + 1,
-                    mode="linear",
-                    align_corners=True,
-                )[0, 0, :-1]
-                rms2 = torch.max(rms2, torch.zeros_like(rms2) + 1e-3)
-                infer_wav *= torch.pow(
-                    rms1 / rms2, torch.tensor(1 - self.gui_config.rms_mix_rate)
-                )
-            # SOLA algorithm from https://github.com/yxlllc/DDSP-SVC
-            conv_input = infer_wav[
-                None, None, : self.sola_buffer_frame + self.sola_search_frame
-            ]
-            cor_nom = F.conv1d(conv_input, self.sola_buffer[None, None, :])
-            cor_den = torch.sqrt(
-                F.conv1d(
-                    conv_input**2,
-                    torch.ones(1, 1, self.sola_buffer_frame, device=self.config.device),
-                )
-                + 1e-8
-            )
-            if sys.platform == "darwin":
-                _, sola_offset = torch.max(cor_nom[0, 0] / cor_den[0, 0])
-                sola_offset = sola_offset.item()
-            else:
-                sola_offset = torch.argmax(cor_nom[0, 0] / cor_den[0, 0])
-            # printt("sola_offset = %d", int(sola_offset))
-            infer_wav = infer_wav[sola_offset:]
-            if "privateuseone" in str(self.config.device) or not self.gui_config.use_pv:
-                infer_wav[: self.sola_buffer_frame] *= self.fade_in_window
-                infer_wav[: self.sola_buffer_frame] += (
-                    self.sola_buffer * self.fade_out_window
-                )
-            else:
-                infer_wav[: self.sola_buffer_frame] = phase_vocoder(
-                    self.sola_buffer,
-                    infer_wav[: self.sola_buffer_frame],
-                    self.fade_out_window,
-                    self.fade_in_window,
-                )
-            self.sola_buffer[:] = infer_wav[
-                self.block_frame : self.block_frame + self.sola_buffer_frame
-            ]
-            outdata[:] = (
-                infer_wav[: self.block_frame]
-                .repeat(self.gui_config.channels, 1)
-                .t()
-                .cpu()
-                .numpy()
-            )
-            total_time = time.perf_counter() - start_time
-            if flag_vc:
-                self.window["infer_time"].update(int(total_time * 1000))
-            # printt("Infer time: %.2f", total_time)
-
-        def update_devices(self, hostapi_name=None):
-            """获取设备列表"""
-            global flag_vc
-            flag_vc = False
-            sd._terminate()
-            sd._initialize()
-            devices = sd.query_devices()
-            hostapis = sd.query_hostapis()
-            for hostapi in hostapis:
-                for device_idx in hostapi["devices"]:
-                    devices[device_idx]["hostapi_name"] = hostapi["name"]
-            self.hostapis = [hostapi["name"] for hostapi in hostapis]
-            if hostapi_name not in self.hostapis:
-                hostapi_name = self.hostapis[0]
-            self.input_devices = [
-                d["name"]
-                for d in devices
-                if d["max_input_channels"] > 0 and d["hostapi_name"] == hostapi_name
-            ]
-            self.output_devices = [
-                d["name"]
-                for d in devices
-                if d["max_output_channels"] > 0 and d["hostapi_name"] == hostapi_name
-            ]
-            self.input_devices_indices = [
-                d["index"] if "index" in d else d["name"]
-                for d in devices
-                if d["max_input_channels"] > 0 and d["hostapi_name"] == hostapi_name
-            ]
-            self.output_devices_indices = [
-                d["index"] if "index" in d else d["name"]
-                for d in devices
-                if d["max_output_channels"] > 0 and d["hostapi_name"] == hostapi_name
-            ]
-
-        def set_devices(self, input_device, output_device):
-            """设置输出设备"""
-            sd.default.device[0] = self.input_devices_indices[
-                self.input_devices.index(input_device)
-            ]
-            sd.default.device[1] = self.output_devices_indices[
-                self.output_devices.index(output_device)
-            ]
-            printt("Input device: %s:%s", str(sd.default.device[0]), input_device)
-            printt("Output device: %s:%s", str(sd.default.device[1]), output_device)
-
-        def get_device_samplerate(self):
-            return int(
-                sd.query_devices(device=sd.default.device[0])["default_samplerate"]
-            )
-
-        def get_device_channels(self):
-            max_input_channels = sd.query_devices(device=sd.default.device[0])[
-                "max_input_channels"
-            ]
-            max_output_channels = sd.query_devices(device=sd.default.device[1])[
-                "max_output_channels"
-            ]
-            return min(max_input_channels, max_output_channels, 2)
-
-    gui = GUI()