lib/modules/vc/modules.py

import time
import traceback
import logging
import os
import sys
import torch
import numpy as np
import soundfile as sf
from io import BytesIO
from lib.modules.vc.utils import get_index_path_from_model, load_hubert
from lib.modules.infer.audio import load_audio, wav2
from lib.modules.infer.infer_pack.models import (
    SynthesizerTrnMs256NSFsid,
    SynthesizerTrnMs256NSFsid_nono,
    SynthesizerTrnMs768NSFsid,
    SynthesizerTrnMs768NSFsid_nono,
)
from lib.modules.vc.pipeline import Pipeline
import tabs.merge as merge
import lib.globals.globals as rvc_globals


now_dir = os.getcwd()
sys.path.append(now_dir)
logger = logging.getLogger(__name__)

sup_audioext = {
    "wav",
    "mp3",
    "flac",
    "ogg",
    "opus",
    "m4a",
    "mp4",
    "aac",
    "alac",
    "wma",
    "aiff",
    "webm",
    "ac3",
}


def note_to_hz(note_name):
    SEMITONES = {
        "C": -9,
        "C#": -8,
        "D": -7,
        "D#": -6,
        "E": -5,
        "F": -4,
        "F#": -3,
        "G": -2,
        "G#": -1,
        "A": 0,
        "A#": 1,
        "B": 2,
    }
    pitch_class, octave = note_name[:-1], int(note_name[-1])
    semitone = SEMITONES[pitch_class]
    note_number = 12 * (octave - 4) + semitone
    frequency = 440.0 * (2.0 ** (1.0 / 12)) ** note_number
    return frequency


class VC:
    def __init__(self, config):
        self.n_spk = None
        self.tgt_sr = None
        self.net_g = None
        self.pipeline = None
        self.cpt = None
        self.version = None
        self.if_f0 = None
        self.version = None
        self.hubert_model = None

        self.config = config

    def get_vc(self, sid, *to_return_protect):
        logger.info("Selected model: " + sid)

        to_return_protect0 = {
            "visible": self.if_f0 != 0,
            "value": to_return_protect[0]
            if self.if_f0 != 0 and to_return_protect
            else 0.5,
            "__type__": "update",
        }
        to_return_protect1 = {
            "visible": self.if_f0 != 0,
            "value": to_return_protect[1]
            if self.if_f0 != 0 and to_return_protect
            else 0.33,
            "__type__": "update",
        }

        if sid == "" or sid == []:
            if self.hubert_model is not None:  # 考虑到轮询, 需要加个判断看是否 sid 是由有模型切换到无模型的
                logger.info("Clean model cache")
                del (
                    self.net_g,
                    self.n_spk,
                    self.vc,
                    self.hubert_model,
                    self.tgt_sr,
                )  # ,cpt
                self.hubert_model = (
                    self.net_g
                ) = self.n_spk = self.vc = self.hubert_model = self.tgt_sr = None
                if torch.cuda.is_available():
                    torch.cuda.empty_cache()
                ###楼下不这么折腾清理不干净
                self.if_f0 = self.cpt.get("f0", 1)
                self.version = self.cpt.get("version", "v1")
                if self.version == "v1":
                    if self.if_f0 == 1:
                        self.net_g = SynthesizerTrnMs256NSFsid(
                            *self.cpt["config"], is_half=self.config.is_half
                        )
                    else:
                        self.net_g = SynthesizerTrnMs256NSFsid_nono(*self.cpt["config"])
                elif self.version == "v2":
                    if self.if_f0 == 1:
                        self.net_g = SynthesizerTrnMs768NSFsid(
                            *self.cpt["config"], is_half=self.config.is_half
                        )
                    else:
                        self.net_g = SynthesizerTrnMs768NSFsid_nono(*self.cpt["config"])
                del self.net_g, self.cpt
                if torch.cuda.is_available():
                    torch.cuda.empty_cache()
            return (
                {"visible": False, "__type__": "update"},
                {
                    "visible": True,
                    "value": to_return_protect0,
                    "__type__": "update",
                },
                {
                    "visible": True,
                    "value": to_return_protect1,
                    "__type__": "update",
                },
                "",
                "",
            )
        person = f"{sid}"
        self.cpt = torch.load(person, map_location="cpu")
        self.tgt_sr = self.cpt["config"][-1]
        self.cpt["config"][-3] = self.cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
        self.if_f0 = self.cpt.get("f0", 1)
        self.version = self.cpt.get("version", "v1")

        synthesizer_class = {
            ("v1", 1): SynthesizerTrnMs256NSFsid,
            ("v1", 0): SynthesizerTrnMs256NSFsid_nono,
            ("v2", 1): SynthesizerTrnMs768NSFsid,
            ("v2", 0): SynthesizerTrnMs768NSFsid_nono,
        }

        self.net_g = synthesizer_class.get(
            (self.version, self.if_f0), SynthesizerTrnMs256NSFsid
        )(*self.cpt["config"], is_half=self.config.is_half)

        del self.net_g.enc_q

        self.net_g.load_state_dict(self.cpt["weight"], strict=False)
        self.net_g.eval().to(self.config.device)
        if self.config.is_half:
            self.net_g = self.net_g.half()
        else:
            self.net_g = self.net_g.float()

        self.pipeline = Pipeline(self.tgt_sr, self.config)
        n_spk = self.cpt["config"][-3]
        index = {"value": get_index_path_from_model(sid), "__type__": "update"}
        logger.info("Selected index: " + index["value"])

        return (
            (
                {"visible": False, "maximum": n_spk, "__type__": "update"},
                to_return_protect0,
                to_return_protect1,
            )
            if to_return_protect
            else {"visible": False, "maximum": n_spk, "__type__": "update"}
        )

    def vc_single(
        self,
        sid,
        input_audio_path1,
        f0_up_key,
        f0_file,
        f0_method,
        file_index,
        file_index2,
        index_rate,
        filter_radius,
        resample_sr,
        rms_mix_rate,
        protect,
        format1,
        split_audio,
        crepe_hop_length,
        f0_min,
        note_min,
        f0_max,
        note_max,
        f0_autotune,
    ):
        global total_time
        total_time = 0
        start_time = time.time()
        if not input_audio_path1:
            return "You need to upload an audio", None

        if (not os.path.exists(input_audio_path1)) and (
            not os.path.exists(os.path.join(now_dir, input_audio_path1))
        ):
            return "Audio was not properly selected or doesn't exist", None
        if split_audio:
            resultm, new_dir_path = merge.process_audio(input_audio_path1)
            print(resultm)
            print("------")
            print(new_dir_path)
            if resultm == "Finish":
                if file_index and not file_index == "" and isinstance(file_index, str):
                    file_index = (
                        file_index.strip(" ")
                        .strip('"')
                        .strip("\n")
                        .strip('"')
                        .strip(" ")
                        .replace("trained", "added")
                    )
                elif file_index2:
                    file_index = file_index2
                else:
                    file_index = ""

                # Use the code from vc_multi to process the segmented audio
                if rvc_globals.NotesOrHertz and f0_method != "rmvpe":
                    f0_min = note_to_hz(note_min) if note_min else 50
                    f0_max = note_to_hz(note_max) if note_max else 1100
                    print(
                        f"Converted Min pitch: freq - {f0_min}\n"
                        f"Converted Max pitch: freq - {f0_max}"
                    )
                else:
                    f0_min = f0_min or 50
                    f0_max = f0_max or 1100

                try:
                    dir_path = (
                        new_dir_path.strip(" ")
                        .strip('"')
                        .strip("\n")
                        .strip('"')
                        .strip(" ")
                    )
                    try:
                        if dir_path != "":
                            paths = [
                                os.path.join(root, name)
                                for root, _, files in os.walk(dir_path, topdown=False)
                                for name in files
                                if name.endswith(tuple(sup_audioext))
                                and root == dir_path
                            ]
                    except:
                        traceback.print_exc()
                    print(paths)
                    for path in paths:
                        info, opt = self.vc_single_dont_save(
                            sid,
                            path,
                            f0_up_key,
                            None,
                            f0_method,
                            file_index,
                            file_index2,
                            # file_big_npy,
                            index_rate,
                            filter_radius,
                            resample_sr,
                            rms_mix_rate,
                            protect,
                            crepe_hop_length,
                            f0_min,
                            note_min,
                            f0_max,
                            note_max,
                            f0_autotune,
                        )
                        if "Success" in info:
                            try:
                                tgt_sr, audio_opt = opt
                                output_filename = os.path.splitext(
                                    os.path.basename(path)
                                )[0]
                                if format1 in ["wav", "flac"]:
                                    sf.write(
                                        "%s/%s.%s"
                                        % (new_dir_path, output_filename, format1),
                                        audio_opt,
                                        tgt_sr,
                                    )
                                else:
                                    path = "%s/%s.%s" % (
                                        new_dir_path,
                                        output_filename,
                                        format1,
                                    )
                                    with BytesIO() as wavf:
                                        sf.write(wavf, audio_opt, tgt_sr, format="wav")
                                        wavf.seek(0, 0)
                                        with open(path, "wb") as outf:
                                            wav2(wavf, outf, format1)
                            except:
                                print(traceback.format_exc())
                except:
                    print(traceback.format_exc())

                time.sleep(0.5)
                print("Finished processing segmented audio, now merging audio...")

                merge_timestamps_file = os.path.join(
                    os.path.dirname(new_dir_path),
                    f"{os.path.basename(new_dir_path).split('.')[0]}_timestamps.txt",
                )
                merge.merge_audio(merge_timestamps_file)

                end_time = time.time()
                total_time = end_time - start_time

                merged_audio_path = os.path.join(
                    os.path.dirname(new_dir_path),
                    "audio-outputs",
                    f"{os.path.basename(new_dir_path).split('.')[0]}_merged.wav",
                )
                index_info = (
                    "Index:\n%s." % file_index
                    if isinstance(file_index, str) and os.path.exists(file_index)
                    else "Index not used."
                )

                return (
                    "Success.\n%s\nTime:\infer: %s." % (index_info, total_time),
                    merged_audio_path,
                )

        print(f"\nStarting inference for '{os.path.basename(input_audio_path1)}'")
        f0_up_key = int(f0_up_key)
        if rvc_globals.NotesOrHertz and f0_method != "rmvpe":
            f0_min = note_to_hz(note_min) if note_min else 50
            f0_max = note_to_hz(note_max) if note_max else 1100
            print(
                f"Converted Min pitch: freq - {f0_min}\n"
                f"Converted Max pitch: freq - {f0_max}"
            )
        else:
            f0_min = f0_min or 50
            f0_max = f0_max or 1100
        try:
            audio = load_audio(
                file=input_audio_path1,
                sr=16000,
                DoFormant=rvc_globals.DoFormant,
                Quefrency=rvc_globals.Quefrency,
                Timbre=rvc_globals.Timbre,
            )

            audio_max = np.abs(audio).max() / 0.95
            if audio_max > 1:
                audio /= audio_max
            times = [0, 0, 0]

            if self.hubert_model is None:
                self.hubert_model = load_hubert(self.config)

            try:
                self.if_f0 = self.cpt.get("f0", 1)
            except NameError:
                message = "Model was not properly selected"
                print(message)
                return message, None
            if file_index and not file_index == "" and isinstance(file_index, str):
                file_index = (
                    file_index.strip(" ")
                    .strip('"')
                    .strip("\n")
                    .strip('"')
                    .strip(" ")
                    .replace("trained", "added")
                )
            elif file_index2:
                file_index = file_index2
            else:
                file_index = ""

            try:
                audio_opt = self.pipeline.pipeline(
                    self.hubert_model,
                    self.net_g,
                    sid,
                    audio,
                    input_audio_path1,
                    times,
                    f0_up_key,
                    f0_method,
                    file_index,
                    index_rate,
                    self.if_f0,
                    filter_radius,
                    self.tgt_sr,
                    resample_sr,
                    rms_mix_rate,
                    self.version,
                    protect,
                    crepe_hop_length,
                    f0_autotune,
                    f0_file=f0_file,
                    f0_min=f0_min,
                    f0_max=f0_max,
                )
            except AssertionError:
                message = (
                    "Mismatching index version detected (v1 with v2, or v2 with v1)."
                )
                print(message)
                return message, None
            except NameError:
                message = "RVC libraries are still loading. Please try again in a few seconds."
                print(message)
                return message, None

            if self.tgt_sr != resample_sr >= 16000:
                tgt_sr = resample_sr
            else:
                tgt_sr = self.tgt_sr
            index_info = (
                "Index:\n%s." % file_index
                if isinstance(file_index, str) and os.path.exists(file_index)
                else "Index not used."
            )
            end_time = time.time()
            total_time = end_time - start_time
            opt_root = "assets/audios/audio-outputs"
            os.makedirs(opt_root, exist_ok=True)
            output_count = 1

            while True:
                opt_filename = f"generated_audio_{output_count}.{format1}"
                current_output_path = os.path.join(opt_root, opt_filename)
                if not os.path.exists(current_output_path):
                    break
                output_count += 1
            try:
                if format1 in ["wav", "flac"]:
                    sf.write(
                        current_output_path,
                        audio_opt,
                        self.tgt_sr,
                    )
                    print(f"Generated audio saved to {current_output_path}")
                else:
                    with BytesIO() as wavf:
                        sf.write(wavf, audio_opt, self.tgt_sr, format="wav")
                        wavf.seek(0, 0)
                        with open(current_output_path, "wb") as outf:
                            wav2(wavf, outf, format1)
                    print(f"Audio saved to {current_output_path}")
            except:
                info = traceback.format_exc()
            return (
                "Success.\n%s\nTime:\nnpy: %.2fs, f0: %.2fs, infer: %.2fs."
                % (index_info, *times),
                (tgt_sr, audio_opt),
            )
        except:
            info = traceback.format_exc()
            logger.warn(info)
            return info, (None, None)

    def vc_single_dont_save(
        self,
        sid,
        input_audio_path1,
        f0_up_key,
        f0_file,
        f0_method,
        file_index,
        file_index2,
        index_rate,
        filter_radius,
        resample_sr,
        rms_mix_rate,
        protect,
        crepe_hop_length,
        f0_min,
        note_min,
        f0_max,
        note_max,
        f0_autotune,
    ):
        global total_time
        total_time = 0
        start_time = time.time()
        if not input_audio_path1:
            return "You need to upload an audio", None

        if (not os.path.exists(input_audio_path1)) and (
            not os.path.exists(os.path.join(now_dir, input_audio_path1))
        ):
            return "Audio was not properly selected or doesn't exist", None

        print(f"\nStarting inference for '{os.path.basename(input_audio_path1)}'")
        f0_up_key = int(f0_up_key)
        if rvc_globals.NotesOrHertz and f0_method != "rmvpe":
            f0_min = note_to_hz(note_min) if note_min else 50
            f0_max = note_to_hz(note_max) if note_max else 1100
            print(
                f"Converted Min pitch: freq - {f0_min}\n"
                f"Converted Max pitch: freq - {f0_max}"
            )
        else:
            f0_min = f0_min or 50
            f0_max = f0_max or 1100
        try:
            audio = load_audio(
                file=input_audio_path1,
                sr=16000,
                DoFormant=rvc_globals.DoFormant,
                Quefrency=rvc_globals.Quefrency,
                Timbre=rvc_globals.Timbre,
            )

            audio_max = np.abs(audio).max() / 0.95
            if audio_max > 1:
                audio /= audio_max
            times = [0, 0, 0]

            if self.hubert_model is None:
                self.hubert_model = load_hubert(self.config)

            try:
                self.if_f0 = self.cpt.get("f0", 1)
            except NameError:
                message = "Model was not properly selected"
                print(message)
                return message, None

            if file_index and not file_index == "" and isinstance(file_index, str):
                file_index = (
                    file_index.strip(" ")
                    .strip('"')
                    .strip("\n")
                    .strip('"')
                    .strip(" ")
                    .replace("trained", "added")
                )
            elif file_index2:
                file_index = file_index2
            else:
                file_index = ""

            try:
                audio_opt = self.pipeline.pipeline(
                    self.hubert_model,
                    self.net_g,
                    sid,
                    audio,
                    input_audio_path1,
                    times,
                    f0_up_key,
                    f0_method,
                    file_index,
                    index_rate,
                    self.if_f0,
                    filter_radius,
                    self.tgt_sr,
                    resample_sr,
                    rms_mix_rate,
                    self.version,
                    protect,
                    crepe_hop_length,
                    f0_autotune,
                    f0_file=f0_file,
                    f0_min=f0_min,
                    f0_max=f0_max,
                )
            except AssertionError:
                message = (
                    "Mismatching index version detected (v1 with v2, or v2 with v1)."
                )
                print(message)
                return message, None
            except NameError:
                message = "RVC libraries are still loading. Please try again in a few seconds."
                print(message)
                return message, None

            if self.tgt_sr != resample_sr >= 16000:
                tgt_sr = resample_sr
            else:
                tgt_sr = self.tgt_sr
            index_info = (
                "Index:\n%s." % file_index
                if isinstance(file_index, str) and os.path.exists(file_index)
                else "Index not used."
            )
            end_time = time.time()
            total_time = end_time - start_time
            return (
                "Success.\n%s\nTime:\nnpy: %.2fs, f0: %.2fs, infer: %.2fs."
                % (index_info, *times),
                (tgt_sr, audio_opt),
            )
        except:
            info = traceback.format_exc()
            logger.warn(info)
            return info, (None, None)

    def vc_multi(
        self,
        sid,
        dir_path,
        opt_root,
        paths,
        f0_up_key,
        f0_method,
        file_index,
        file_index2,
        index_rate,
        filter_radius,
        resample_sr,
        rms_mix_rate,
        protect,
        format1,
        crepe_hop_length,
        f0_min,
        note_min,
        f0_max,
        note_max,
        f0_autotune,
    ):
        if rvc_globals.NotesOrHertz and f0_method != "rmvpe":
            f0_min = note_to_hz(note_min) if note_min else 50
            f0_max = note_to_hz(note_max) if note_max else 1100
            print(
                f"Converted Min pitch: freq - {f0_min}\n"
                f"Converted Max pitch: freq - {f0_max}"
            )
        else:
            f0_min = f0_min or 50
            f0_max = f0_max or 1100
        try:
            dir_path = (
                dir_path.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
            )  # 防止小白拷路径头尾带了空格和"和回车
            opt_root = opt_root.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
            os.makedirs(opt_root, exist_ok=True)
            try:
                if dir_path != "":
                    paths = [
                        os.path.join(root, name)
                        for root, _, files in os.walk(dir_path, topdown=False)
                        for name in files
                        if name.endswith(tuple(sup_audioext)) and root == dir_path
                    ]
                else:
                    paths = [path.name for path in paths]
            except:
                traceback.print_exc()
                paths = [path.name for path in paths]
            infos = []
            print(paths)
            for path in paths:
                info, opt = self.vc_single_dont_save(
                    sid,
                    path,
                    f0_up_key,
                    None,
                    f0_method,
                    file_index,
                    file_index2,
                    # file_big_npy,
                    index_rate,
                    filter_radius,
                    resample_sr,
                    rms_mix_rate,
                    protect,
                    crepe_hop_length,
                    f0_min,
                    note_min,
                    f0_max,
                    note_max,
                    f0_autotune,
                )
                if "Success" in info:
                    try:
                        tgt_sr, audio_opt = opt
                        if format1 in ["wav", "flac"]:
                            sf.write(
                                "%s/%s.%s"
                                % (opt_root, os.path.basename(path), format1),
                                audio_opt,
                                tgt_sr,
                            )
                        else:
                            path = "%s/%s.%s" % (
                                opt_root,
                                os.path.basename(path),
                                format1,
                            )
                            with BytesIO() as wavf:
                                sf.write(wavf, audio_opt, tgt_sr, format="wav")
                                wavf.seek(0, 0)
                                with open(path, "wb") as outf:
                                    wav2(wavf, outf, format1)
                    except:
                        info += traceback.format_exc()
                infos.append("%s->%s" % (os.path.basename(path), info))
                yield "\n".join(infos)
            yield "\n".join(infos)
        except:
            yield traceback.format_exc()