Spaces:
Sleeping
Sleeping
File size: 5,351 Bytes
c5ed230 9d024b5 c5ed230 24e3342 c5ed230 d94ccbe c5ed230 d94ccbe b5830b6 c5ed230 5854014 9d024b5 5854014 c5ed230 5854014 f394738 c5ed230 dc13618 eda7a93 f394738 dd5fb07 36fb9b8 f394738 d4047cd dd5fb07 f394738 4cf5647 604f411 6403da0 d8135af 6403da0 cf5787a 604f411 c5ed230 d94ccbe c5ed230 9d024b5 c5ed230 dc13618 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | import os
import sys
import torch
JSON_AS_ASCII = False
MAX_CONTENT_LENGTH = 5242880
# Flask debug mode
DEBUG = False
# Server port
PORT = 7860
# Absolute path of vits-simple-api
ABS_PATH = os.path.dirname(os.path.realpath(__file__))
# Upload path
UPLOAD_FOLDER = ABS_PATH + "/upload"
# Cahce path
CACHE_PATH = ABS_PATH + "/cache"
# Logs path
LOGS_PATH = ABS_PATH + "/logs"
# Set the number of backup log files to keep.
LOGS_BACKUPCOUNT = 30
# If CLEAN_INTERVAL_SECONDS <= 0, the cleaning task will not be executed.
CLEAN_INTERVAL_SECONDS = 3600
# save audio to CACHE_PATH
SAVE_AUDIO = False
# zh ja ko en... If it is empty, it will be read based on the text_cleaners specified in the config.json.
LANGUAGE_AUTOMATIC_DETECT = []
# Set to True to enable API Key authentication
API_KEY_ENABLED = False
# API_KEY is required for authentication
API_KEY = "api-key"
# logging_level:DEBUG/INFO/WARNING/ERROR/CRITICAL
LOGGING_LEVEL = "DEBUG"
# Language identification library. Optional fastlid, langid
LANGUAGE_IDENTIFICATION_LIBRARY = "langid"
# To use the english_cleaner, you need to install espeak and provide the path of libespeak-ng.dll as input here.
# If ESPEAK_LIBRARY is set to empty, it will be read from the environment variable.
# For windows : "C:/Program Files/eSpeak NG/libespeak-ng.dll"
ESPEAK_LIBRARY = ""
# Fill in the model path here
MODEL_LIST = [
# VITS
[ABS_PATH + "/Model/genshin/G_953000.pth", ABS_PATH + "/Model/genshin/config.json"],
[ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/1374_epochs.pth", ABS_PATH + "/Model/Nene_Nanami_Rong_Tang/config.json"],
[ABS_PATH + "/Model/vctk/pretrained_vctk.pth", ABS_PATH + "/Model/vctk/vctk_base.json"],
[ABS_PATH + "/Model/paimon/paimon6k_390000.pth", ABS_PATH + "/Model/paimon/paimon6k.json"],
[ABS_PATH + "/Model/vits_chinese/vits_bert_model.pth", ABS_PATH + "/Model/vits_chinese/bert_vits.json"],
[ABS_PATH + "/Model/Bishojo_Mangekyo/generator_mangekyo.pth", ABS_PATH + "/Model/Bishojo_Mangekyo/config_mangekyo.json"],
[ABS_PATH + "/Model/Cantonese/model.pth", ABS_PATH + "/Model/Cantonese/config.json"],
[ABS_PATH + "/Model/shanghainese/2796_epochs.pth", ABS_PATH + "/Model/shanghainese/config.json"],
# HuBert-VITS (Need to configure HUBERT_SOFT_MODEL)
[ABS_PATH + "/Model/louise/360_epochs.pth", ABS_PATH + "/Model/louise/config.json"],
# W2V2-VITS (Need to configure DIMENSIONAL_EMOTION_NPY)
[ABS_PATH + "/Model/w2v2-vits/1026_epochs.pth", ABS_PATH + "/Model/w2v2-vits/config.json"],
# bert-vits2
[ABS_PATH + "/Model/bert-vits2/kh/kh.pth", ABS_PATH + "/Model/bert-vits2/kh/config.json"],
[ABS_PATH + "/Model/bert-vits2/nailv_read/nailv_read_new.pth", ABS_PATH + "/Model/bert-vits2/nailv_read/config.json"],
[ABS_PATH + "/Model/bert-vits2/xt_read/xt_read.pth", ABS_PATH + "/Model/bert-vits2/xt_read/config.json"],
[ABS_PATH + "/Model/bert-vits2/xt_read/xt_read_1.pth", ABS_PATH + "/Model/bert-vits2/xt_read/config.json"],
[ABS_PATH + "/Model/bert-vits2/xt_read/xt_read_new.pth", ABS_PATH + "/Model/bert-vits2/xt_read/config.json"],
[ABS_PATH + "/Model/bert-vits2/xingtong/1da.pth", ABS_PATH + "/Model/bert-vits2/xingtong/config.json"],
[ABS_PATH + "/Model/bert-vits2/xingtong/2da.pth", ABS_PATH + "/Model/bert-vits2/xingtong/config.json"],
[ABS_PATH + "/Model/bert-vits2/xingtong/2db.pth", ABS_PATH + "/Model/bert-vits2/xingtong/config.json"],
[ABS_PATH + "/Model/bert-vits2/xingtong/2dc.pth", ABS_PATH + "/Model/bert-vits2/xingtong/config.json"],
[ABS_PATH + "/Model/bert-vits2/xingtong/2dd.pth", ABS_PATH + "/Model/bert-vits2/xingtong/config.json"],
[ABS_PATH + "/Model/bert-vits2/xingtong/3da.pth", ABS_PATH + "/Model/bert-vits2/xingtong/config.json"],
[ABS_PATH + "/Model/bert-vits2/azuma/azuma.pth", ABS_PATH + "/Model/bert-vits2/azuma/config.json"],
[ABS_PATH + "/Model/bert-vits2/luming/luming.pth", ABS_PATH + "/Model/bert-vits2/luming/config.json"],
[ABS_PATH + "/Model/bert-vits2/jiaran/jiaran.pth", ABS_PATH + "/Model/bert-vits2/jiaran/config.json"],
[ABS_PATH + "/Model/bert-vits2/kino/kino.pth", ABS_PATH + "/Model/bert-vits2/kino/config.json"],
[ABS_PATH + "/Model/bert-vits2/nailin/nailin.pth", ABS_PATH + "/Model/bert-vits2/nailin/config.json"],
[ABS_PATH + "/Model/bert-vits2/nanami/nanami.pth", ABS_PATH + "/Model/bert-vits2/nanami/config.json"],
[ABS_PATH + "/Model/bert-vits2/TF/G_1800.pth", ABS_PATH + "/Model/bert-vits2/TF/config.json"],
]
# hubert-vits: hubert soft model
HUBERT_SOFT_MODEL = ABS_PATH + "/Model/hubert-soft-0d54a1f4.pt"
# w2v2-vits: Dimensional emotion npy file
# load single npy: ABS_PATH+"/all_emotions.npy
# load mutiple npy: [ABS_PATH + "/emotions1.npy", ABS_PATH + "/emotions2.npy"]
# load mutiple npy from folder: ABS_PATH + "/Model/npy"
DIMENSIONAL_EMOTION_NPY = ABS_PATH + "/Model/npy"
# w2v2-vits: Need to have both `model.onnx` and `model.yaml` files in the same path.
# DIMENSIONAL_EMOTION_MODEL = ABS_PATH + "/Model/model.yaml"
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
"""
Default parameter
"""
ID = 0
FORMAT = "wav"
LANG = "AUTO"
LENGTH = 1
NOISE = 0.33
NOISEW = 0.4
# 长文本分段阈值，max<=0表示不分段.
# Batch processing threshold. Text will not be processed in batches if max<=0
MAX = 50
# Bert_VITS2
SDP_RATIO = 0.2
|