mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-05 19:41:56 +08:00
Reformat scripts
This commit is contained in:
laubonghaudoi
parent
c18c9a9eed
commit
d32d70c2b1
1
.gitignore
vendored
1
.gitignore
vendored
@ -18,4 +18,3 @@ TEMP
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weight.json
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ffmpeg*
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ffprobe*
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zoengjyutgaai*
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@ -8,8 +8,8 @@ from time import time as ttime
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import torch
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from text.cleaner import clean_text
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from transformers import AutoModelForMaskedLM, AutoTokenizer
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from tqdm import tqdm
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from transformers import AutoModelForMaskedLM, AutoTokenizer
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from tools.my_utils import clean_path
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209
webui.py
209
webui.py
@ -1,15 +1,45 @@
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import os,sys
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if len(sys.argv)==1:sys.argv.append('v2')
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import json
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import os
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import platform
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import re
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import shutil
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import signal
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import site
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import subprocess
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import sys
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import traceback
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import warnings
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from multiprocessing import cpu_count
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from subprocess import Popen
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import gradio as gr
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import psutil
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import torch
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import yaml
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from config import (
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exp_root,
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infer_device,
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is_half,
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is_share,
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python_exec,
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webui_port_infer_tts,
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webui_port_main,
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webui_port_subfix,
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webui_port_uvr5,
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)
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from tools import my_utils
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from tools.asr.config import asr_dict
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from tools.i18n.i18n import I18nAuto, scan_language_list
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from tools.my_utils import check_details, check_for_existance
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if len(sys.argv) == 1:
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sys.argv.append('v2')
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version = "v1"if sys.argv[1] == "v1" else "v2"
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os.environ["version"] = version
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now_dir = os.getcwd()
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sys.path.insert(0, now_dir)
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import warnings
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warnings.filterwarnings("ignore")
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import json,yaml,torch,pdb,re,shutil
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import platform
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import psutil
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import signal
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os.environ['TORCH_DISTRIBUTED_DEBUG'] = 'INFO'
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torch.manual_seed(233333)
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tmp = os.path.join(now_dir, "TEMP")
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@ -17,7 +47,8 @@ os.makedirs(tmp, exist_ok=True)
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os.environ["TEMP"] = tmp
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if (os.path.exists(tmp)):
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for name in os.listdir(tmp):
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if(name=="jieba.cache"):continue
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if (name == "jieba.cache"):
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continue
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path = "%s/%s" % (tmp, name)
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delete = os.remove if os.path.isfile(path) else shutil.rmtree
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try:
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@ -25,13 +56,12 @@ if(os.path.exists(tmp)):
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except Exception as e:
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print(str(e))
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pass
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import site
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import traceback
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site_packages_roots = []
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for path in site.getsitepackages():
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if "packages" in path:
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site_packages_roots.append(path)
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if(site_packages_roots==[]):site_packages_roots=["%s/runtime/Lib/site-packages" % now_dir]
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if (site_packages_roots == []):
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site_packages_roots = ["%s/runtime/Lib/site-packages" % now_dir]
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# os.environ["OPENBLAS_NUM_THREADS"] = "4"
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os.environ["no_proxy"] = "localhost, 127.0.0.1, ::1"
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os.environ["all_proxy"] = ""
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@ -45,28 +75,17 @@ for site_packages_root in site_packages_roots:
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% (now_dir, now_dir, now_dir, now_dir, now_dir, now_dir)
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)
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break
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except PermissionError as e:
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except PermissionError:
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traceback.print_exc()
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from tools import my_utils
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import shutil
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import pdb
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import subprocess
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from subprocess import Popen
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import signal
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from config import python_exec,infer_device,is_half,exp_root,webui_port_main,webui_port_infer_tts,webui_port_uvr5,webui_port_subfix,is_share
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from tools.i18n.i18n import I18nAuto, scan_language_list
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language = sys.argv[-1] if sys.argv[-1] in scan_language_list() else "Auto"
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os.environ["language"] = language
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i18n = I18nAuto(language=language)
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from scipy.io import wavfile
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from tools.my_utils import load_audio, check_for_existance, check_details
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from multiprocessing import cpu_count
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# os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1' # 当遇到mps不支持的步骤时使用cpu
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try:
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import gradio.analytics as analytics
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analytics.version_check = lambda: None
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except:...
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import gradio as gr
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except:
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...
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n_cpu = cpu_count()
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ngpu = torch.cuda.device_count()
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@ -92,6 +111,7 @@ if torch.cuda.is_available() or ngpu != 0:
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# gpu_infos.append("%s\t%s" % ("0", "Apple GPU"))
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# mem.append(psutil.virtual_memory().total/ 1024 / 1024 / 1024) # 实测使用系统内存作为显存不会爆显存
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def set_default():
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global default_batch_size, default_max_batch_size, gpu_info, default_sovits_epoch, default_sovits_save_every_epoch, max_sovits_epoch, max_sovits_save_every_epoch, default_batch_size_s1, if_force_ckpt
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if_force_ckpt = False
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@ -139,23 +159,32 @@ def set_default():
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default_batch_size_s1 = max(1, default_batch_size_s1)
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default_max_batch_size = default_batch_size * 3
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set_default()
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gpus = "-".join([i[0] for i in gpu_infos])
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default_gpu_numbers = str(sorted(list(set_gpu_numbers))[0])
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def fix_gpu_number(input): # 将越界的number强制改到界内
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try:
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if(int(input)not in set_gpu_numbers):return default_gpu_numbers
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except:return input
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if (int(input)not in set_gpu_numbers):
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return default_gpu_numbers
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except:
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return input
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return input
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def fix_gpu_numbers(inputs):
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output = []
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try:
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for input in inputs.split(","):output.append(str(fix_gpu_number(input)))
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for input in inputs.split(","):
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output.append(str(fix_gpu_number(input)))
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return ",".join(output)
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except:
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return inputs
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pretrained_sovits_name = ["GPT_SoVITS/pretrained_models/s2G488k.pth", "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth", "GPT_SoVITS/pretrained_models/s2Gv3.pth"]
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pretrained_gpt_name = ["GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt", "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt", "GPT_SoVITS/pretrained_models/s1v3.ckpt"]
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@ -170,31 +199,41 @@ if _:
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_ = [[], []]
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for i in range(3):
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if os.path.exists(pretrained_gpt_name[i]):_[0].append(pretrained_gpt_name[i])
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else:_[0].append("")##没有下pretrained模型的，说不定他们是想自己从零训底模呢
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if os.path.exists(pretrained_sovits_name[i]):_[-1].append(pretrained_sovits_name[i])
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else:_[-1].append("")
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if os.path.exists(pretrained_gpt_name[i]):
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_[0].append(pretrained_gpt_name[i])
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else:
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_[0].append("") # 没有下pretrained模型的，说不定他们是想自己从零训底模呢
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if os.path.exists(pretrained_sovits_name[i]):
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_[-1].append(pretrained_sovits_name[i])
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else:
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_[-1].append("")
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pretrained_gpt_name, pretrained_sovits_name = _
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SoVITS_weight_root = ["SoVITS_weights", "SoVITS_weights_v2", "SoVITS_weights_v3"]
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GPT_weight_root = ["GPT_weights", "GPT_weights_v2", "GPT_weights_v3"]
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for root in SoVITS_weight_root + GPT_weight_root:
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os.makedirs(root, exist_ok=True)
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def get_weights_names():
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SoVITS_names = [name for name in pretrained_sovits_name if name != ""]
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for path in SoVITS_weight_root:
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for name in os.listdir(path):
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if name.endswith(".pth"): SoVITS_names.append("%s/%s" % (path, name))
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if name.endswith(".pth"):
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SoVITS_names.append("%s/%s" % (path, name))
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GPT_names = [name for name in pretrained_gpt_name if name != ""]
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for path in GPT_weight_root:
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for name in os.listdir(path):
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if name.endswith(".ckpt"): GPT_names.append("%s/%s" % (path, name))
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if name.endswith(".ckpt"):
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GPT_names.append("%s/%s" % (path, name))
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return SoVITS_names, GPT_names
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SoVITS_names, GPT_names = get_weights_names()
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for path in SoVITS_weight_root + GPT_weight_root:
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os.makedirs(path, exist_ok=True)
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def custom_sort_key(s):
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# 使用正则表达式提取字符串中的数字部分和非数字部分
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parts = re.split('(\d+)', s)
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@ -202,16 +241,19 @@ def custom_sort_key(s):
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parts = [int(part) if part.isdigit() else part for part in parts]
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return parts
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def change_choices():
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SoVITS_names, GPT_names = get_weights_names()
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return {"choices": sorted(SoVITS_names, key=custom_sort_key), "__type__": "update"}, {"choices": sorted(GPT_names, key=custom_sort_key), "__type__": "update"}
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p_label = None
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p_uvr5 = None
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p_asr = None
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p_denoise = None
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p_tts_inference = None
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def kill_proc_tree(pid, including_parent=True):
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try:
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parent = psutil.Process(pid)
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@ -231,7 +273,10 @@ def kill_proc_tree(pid, including_parent=True):
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except OSError:
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pass
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system = platform.system()
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def kill_process(pid, process_name=""):
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if (system == "Windows"):
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cmd = "taskkill /t /f /pid %s" % pid
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@ -241,6 +286,7 @@ def kill_process(pid, process_name=""):
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kill_proc_tree(pid)
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print(process_name + i18n("进程已终止"))
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def process_info(process_name="", indicator=""):
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if indicator == "opened":
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return process_name + i18n("已开启")
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@ -263,7 +309,10 @@ def process_info(process_name="", indicator=""):
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else:
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return process_name
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process_name_subfix = i18n("音频标注WebUI")
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def change_label(path_list):
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global p_label
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if p_label is None:
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@ -278,7 +327,10 @@ def change_label(path_list):
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p_label = None
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yield process_info(process_name_subfix, "closed"), {'__type__': 'update', 'visible': True}, {'__type__': 'update', 'visible': False}
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process_name_uvr5 = i18n("人声分离WebUI")
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def change_uvr5():
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global p_uvr5
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if p_uvr5 is None:
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@ -291,14 +343,17 @@ def change_uvr5():
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p_uvr5 = None
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yield process_info(process_name_uvr5, "closed"), {'__type__': 'update', 'visible': True}, {'__type__': 'update', 'visible': False}
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process_name_tts = i18n("TTS推理WebUI")
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def change_tts_inference(bert_path, cnhubert_base_path, gpu_number, gpt_path, sovits_path, batched_infer_enabled):
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global p_tts_inference
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if batched_infer_enabled:
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cmd = '"%s" GPT_SoVITS/inference_webui_fast.py "%s"' % (python_exec, language)
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else:
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cmd = '"%s" GPT_SoVITS/inference_webui.py "%s"' % (python_exec, language)
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#####v3暂不支持加速推理
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# v3暂不支持加速推理
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if version == "v3":
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cmd = '"%s" GPT_SoVITS/inference_webui.py "%s"' % (python_exec, language)
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if p_tts_inference is None:
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@ -318,9 +373,10 @@ def change_tts_inference(bert_path,cnhubert_base_path,gpu_number,gpt_path,sovits
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p_tts_inference = None
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yield process_info(process_name_tts, "closed"), {'__type__': 'update', 'visible': True}, {'__type__': 'update', 'visible': False}
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from tools.asr.config import asr_dict
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process_name_asr = i18n("语音识别")
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def open_asr(asr_inp_dir, asr_opt_dir, asr_model, asr_model_size, asr_lang, asr_precision):
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global p_asr
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if p_asr is None:
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@ -345,6 +401,7 @@ def open_asr(asr_inp_dir, asr_opt_dir, asr_model, asr_model_size, asr_lang, asr_
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else:
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yield process_info(process_name_asr, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}, {"__type__": "update"}, {"__type__": "update"}, {"__type__": "update"}
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def close_asr():
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global p_asr
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if p_asr is not None:
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@ -352,7 +409,10 @@ def close_asr():
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p_asr = None
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return process_info(process_name_asr, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
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process_name_denoise = i18n("语音降噪")
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def open_denoise(denoise_inp_dir, denoise_opt_dir):
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global p_denoise
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if (p_denoise == None):
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@ -370,6 +430,7 @@ def open_denoise(denoise_inp_dir, denoise_opt_dir):
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else:
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yield process_info(process_name_denoise, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}, {"__type__": "update"}, {"__type__": "update"}
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def close_denoise():
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global p_denoise
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if p_denoise is not None:
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@ -377,8 +438,11 @@ def close_denoise():
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p_denoise = None
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return process_info(process_name_denoise, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
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p_train_SoVITS = None
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process_name_sovits = i18n("SoVITS训练")
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def open1Ba(batch_size, total_epoch, exp_name, text_low_lr_rate, if_save_latest, if_save_every_weights, save_every_epoch, gpu_numbers1Ba, pretrained_s2G, pretrained_s2D, if_grad_ckpt, lora_rank):
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global p_train_SoVITS
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if (p_train_SoVITS == None):
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@ -409,7 +473,8 @@ def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_s
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data["name"] = exp_name
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data["version"] = version
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tmp_config_path = "%s/tmp_s2.json" % tmp
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with open(tmp_config_path,"w")as f:f.write(json.dumps(data))
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with open(tmp_config_path, "w")as f:
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f.write(json.dumps(data))
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if version in ["v1", "v2"]:
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cmd = '"%s" GPT_SoVITS/s2_train.py --config "%s"' % (python_exec, tmp_config_path)
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else:
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@ -423,6 +488,7 @@ def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_s
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else:
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yield process_info(process_name_sovits, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
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def close1Ba():
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global p_train_SoVITS
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if p_train_SoVITS is not None:
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@ -430,8 +496,11 @@ def close1Ba():
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p_train_SoVITS = None
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return process_info(process_name_sovits, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
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p_train_GPT = None
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process_name_gpt = i18n("GPT训练")
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def open1Bb(batch_size, total_epoch, exp_name, if_dpo, if_save_latest, if_save_every_weights, save_every_epoch, gpu_numbers, pretrained_s1):
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global p_train_GPT
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if (p_train_GPT == None):
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@ -462,7 +531,8 @@ def open1Bb(batch_size,total_epoch,exp_name,if_dpo,if_save_latest,if_save_every_
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os.environ["_CUDA_VISIBLE_DEVICES"] = fix_gpu_numbers(gpu_numbers.replace("-", ","))
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os.environ["hz"] = "25hz"
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tmp_config_path = "%s/tmp_s1.yaml" % tmp
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with open(tmp_config_path, "w") as f:f.write(yaml.dump(data, default_flow_style=False))
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with open(tmp_config_path, "w") as f:
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f.write(yaml.dump(data, default_flow_style=False))
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# cmd = '"%s" GPT_SoVITS/s1_train.py --config_file "%s" --train_semantic_path "%s/6-name2semantic.tsv" --train_phoneme_path "%s/2-name2text.txt" --output_dir "%s/logs_s1"'%(python_exec,tmp_config_path,s1_dir,s1_dir,s1_dir)
|
||||
cmd = '"%s" GPT_SoVITS/s1_train.py --config_file "%s" ' % (python_exec, tmp_config_path)
|
||||
yield process_info(process_name_gpt, "opened"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
@ -474,6 +544,7 @@ def open1Bb(batch_size,total_epoch,exp_name,if_dpo,if_save_latest,if_save_every_
|
||||
else:
|
||||
yield process_info(process_name_gpt, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
|
||||
|
||||
def close1Bb():
|
||||
global p_train_GPT
|
||||
if p_train_GPT is not None:
|
||||
@ -481,8 +552,11 @@ def close1Bb():
|
||||
p_train_GPT = None
|
||||
return process_info(process_name_gpt, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||||
|
||||
|
||||
ps_slice = []
|
||||
process_name_slice = i18n("语音切分")
|
||||
|
||||
|
||||
def open_slice(inp, opt_root, threshold, min_length, min_interval, hop_size, max_sil_kept, _max, alpha, n_parts):
|
||||
global ps_slice
|
||||
inp = my_utils.clean_path(inp)
|
||||
@ -491,8 +565,10 @@ def open_slice(inp,opt_root,threshold,min_length,min_interval,hop_size,max_sil_k
|
||||
if (os.path.exists(inp) == False):
|
||||
yield i18n("输入路径不存在"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}, {"__type__": "update"}, {"__type__": "update"}, {"__type__": "update"}
|
||||
return
|
||||
if os.path.isfile(inp):n_parts=1
|
||||
elif os.path.isdir(inp):pass
|
||||
if os.path.isfile(inp):
|
||||
n_parts = 1
|
||||
elif os.path.isdir(inp):
|
||||
pass
|
||||
else:
|
||||
yield i18n("输入路径存在但不可用"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}, {"__type__": "update"}, {"__type__": "update"}, {"__type__": "update"}
|
||||
return
|
||||
@ -510,6 +586,7 @@ def open_slice(inp,opt_root,threshold,min_length,min_interval,hop_size,max_sil_k
|
||||
else:
|
||||
yield process_info(process_name_slice, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}, {"__type__": "update"}, {"__type__": "update"}, {"__type__": "update"}
|
||||
|
||||
|
||||
def close_slice():
|
||||
global ps_slice
|
||||
if (ps_slice != []):
|
||||
@ -521,8 +598,11 @@ def close_slice():
|
||||
ps_slice = []
|
||||
return process_info(process_name_slice, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||||
|
||||
|
||||
ps1a = []
|
||||
process_name_1a = i18n("文本分词与特征提取")
|
||||
|
||||
|
||||
def open1a(inp_text, inp_wav_dir, exp_name, gpu_numbers, bert_pretrained_dir):
|
||||
global ps1a
|
||||
inp_text = my_utils.clean_path(inp_text)
|
||||
@ -574,6 +654,7 @@ def open1a(inp_text,inp_wav_dir,exp_name,gpu_numbers,bert_pretrained_dir):
|
||||
else:
|
||||
yield process_info(process_name_1a, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
|
||||
|
||||
def close1a():
|
||||
global ps1a
|
||||
if ps1a != []:
|
||||
@ -585,8 +666,11 @@ def close1a():
|
||||
ps1a = []
|
||||
return process_info(process_name_1a, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||||
|
||||
|
||||
ps1b = []
|
||||
process_name_1b = i18n("语音自监督特征提取")
|
||||
|
||||
|
||||
def open1b(inp_text, inp_wav_dir, exp_name, gpu_numbers, ssl_pretrained_dir):
|
||||
global ps1b
|
||||
inp_text = my_utils.clean_path(inp_text)
|
||||
@ -625,6 +709,7 @@ def open1b(inp_text,inp_wav_dir,exp_name,gpu_numbers,ssl_pretrained_dir):
|
||||
else:
|
||||
yield process_info(process_name_1b, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
|
||||
|
||||
def close1b():
|
||||
global ps1b
|
||||
if (ps1b != []):
|
||||
@ -636,8 +721,11 @@ def close1b():
|
||||
ps1b = []
|
||||
return process_info(process_name_1b, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||||
|
||||
|
||||
ps1c = []
|
||||
process_name_1c = i18n("语义Token提取")
|
||||
|
||||
|
||||
def open1c(inp_text, exp_name, gpu_numbers, pretrained_s2G_path):
|
||||
global ps1c
|
||||
inp_text = my_utils.clean_path(inp_text)
|
||||
@ -685,6 +773,7 @@ def open1c(inp_text,exp_name,gpu_numbers,pretrained_s2G_path):
|
||||
else:
|
||||
yield process_info(process_name_1c, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
|
||||
|
||||
def close1c():
|
||||
global ps1c
|
||||
if (ps1c != []):
|
||||
@ -696,8 +785,11 @@ def close1c():
|
||||
ps1c = []
|
||||
return process_info(process_name_1c, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||||
|
||||
|
||||
ps1abc = []
|
||||
process_name_1abc = i18n("训练集格式化一键三连")
|
||||
|
||||
|
||||
def open1abc(inp_text, inp_wav_dir, exp_name, gpu_numbers1a, gpu_numbers1Ba, gpu_numbers1c, bert_pretrained_dir, ssl_pretrained_dir, pretrained_s2G_path):
|
||||
global ps1abc
|
||||
inp_text = my_utils.clean_path(inp_text)
|
||||
@ -707,7 +799,7 @@ def open1abc(inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numb
|
||||
if (ps1abc == []):
|
||||
opt_dir = "%s/%s" % (exp_root, exp_name)
|
||||
try:
|
||||
#############################1a
|
||||
# 1a
|
||||
path_text = "%s/2-name2text.txt" % opt_dir
|
||||
if (os.path.exists(path_text) == False or (os.path.exists(path_text) == True and len(open(path_text, "r", encoding="utf8").read().strip("\n").split("\n")) < 2)):
|
||||
config = {
|
||||
@ -734,7 +826,8 @@ def open1abc(inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numb
|
||||
p = Popen(cmd, shell=True)
|
||||
ps1abc.append(p)
|
||||
yield i18n("进度") + ": 1A-Doing", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
for p in ps1abc:p.wait()
|
||||
for p in ps1abc:
|
||||
p.wait()
|
||||
|
||||
opt = []
|
||||
for i_part in range(all_parts): # txt_path="%s/2-name2text-%s.txt"%(opt_dir,i_part)
|
||||
@ -747,7 +840,7 @@ def open1abc(inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numb
|
||||
assert len("".join(opt)) > 0, process_info(process_name_1a, "failed")
|
||||
yield i18n("进度") + ": 1A-Done", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
ps1abc = []
|
||||
#############################1b
|
||||
# 1b
|
||||
config = {
|
||||
"inp_text": inp_text,
|
||||
"inp_wav_dir": inp_wav_dir,
|
||||
@ -771,10 +864,11 @@ def open1abc(inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numb
|
||||
p = Popen(cmd, shell=True)
|
||||
ps1abc.append(p)
|
||||
yield i18n("进度") + ": 1A-Done, 1B-Doing", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
for p in ps1abc:p.wait()
|
||||
for p in ps1abc:
|
||||
p.wait()
|
||||
yield i18n("进度") + ": 1A-Done, 1B-Done", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
ps1abc = []
|
||||
#############################1c
|
||||
# 1c
|
||||
path_semantic = "%s/6-name2semantic.tsv" % opt_dir
|
||||
if (os.path.exists(path_semantic) == False or (os.path.exists(path_semantic) == True and os.path.getsize(path_semantic) < 31)):
|
||||
config = {
|
||||
@ -800,7 +894,8 @@ def open1abc(inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numb
|
||||
p = Popen(cmd, shell=True)
|
||||
ps1abc.append(p)
|
||||
yield i18n("进度") + ": 1A-Done, 1B-Done, 1C-Doing", {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
for p in ps1abc:p.wait()
|
||||
for p in ps1abc:
|
||||
p.wait()
|
||||
|
||||
opt = ["item_name\tsemantic_audio"]
|
||||
for i_part in range(all_parts):
|
||||
@ -820,6 +915,7 @@ def open1abc(inp_text,inp_wav_dir,exp_name,gpu_numbers1a,gpu_numbers1Ba,gpu_numb
|
||||
else:
|
||||
yield process_info(process_name_1abc, "occupy"), {"__type__": "update", "visible": False}, {"__type__": "update", "visible": True}
|
||||
|
||||
|
||||
def close1abc():
|
||||
global ps1abc
|
||||
if (ps1abc != []):
|
||||
@ -831,11 +927,13 @@ def close1abc():
|
||||
ps1abc = []
|
||||
return process_info(process_name_1abc, "closed"), {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
|
||||
|
||||
|
||||
def switch_version(version_):
|
||||
os.environ["version"] = version_
|
||||
global version
|
||||
version = version_
|
||||
if pretrained_sovits_name[int(version[-1])-1] !='' and pretrained_gpt_name[int(version[-1])-1] !='':...
|
||||
if pretrained_sovits_name[int(version[-1]) - 1] != '' and pretrained_gpt_name[int(version[-1]) - 1] != '':
|
||||
...
|
||||
else:
|
||||
gr.Warning(i18n('未下载模型') + ": " + version.upper())
|
||||
set_default()
|
||||
@ -852,23 +950,25 @@ def switch_version(version_):
|
||||
{'__type__': 'update', "interactive": False if version == "v3" else True, "value": False}, \
|
||||
{'__type__': 'update', "visible": True if version == "v3" else False}
|
||||
|
||||
if os.path.exists('GPT_SoVITS/text/G2PWModel'):...
|
||||
|
||||
if os.path.exists('GPT_SoVITS/text/G2PWModel'):
|
||||
...
|
||||
else:
|
||||
cmd = '"%s" GPT_SoVITS/download.py' % python_exec
|
||||
p = Popen(cmd, shell=True)
|
||||
p.wait()
|
||||
|
||||
|
||||
def sync(text):
|
||||
return {'__type__': 'update', 'value': text}
|
||||
|
||||
|
||||
with gr.Blocks(title="GPT-SoVITS WebUI") as app:
|
||||
gr.Markdown(
|
||||
value=
|
||||
i18n("本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责.") + "<br>" + i18n("如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录LICENSE.")
|
||||
value=i18n("本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责.") + "<br>" + i18n("如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录LICENSE.")
|
||||
)
|
||||
gr.Markdown(
|
||||
value=
|
||||
i18n("中文教程文档") + ": " + "https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e"
|
||||
value=i18n("中文教程文档") + ": " + "https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e"
|
||||
)
|
||||
|
||||
with gr.Tabs():
|
||||
@ -931,8 +1031,10 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
|
||||
|
||||
def change_lang_choices(key): # 根据选择的模型修改可选的语言
|
||||
return {"__type__": "update", "choices": asr_dict[key]['lang'], "value": asr_dict[key]['lang'][0]}
|
||||
|
||||
def change_size_choices(key): # 根据选择的模型修改可选的模型尺寸
|
||||
return {"__type__": "update", "choices": asr_dict[key]['size'], "value": asr_dict[key]['size'][-1]}
|
||||
|
||||
def change_precision_choices(key): # 根据选择的模型修改可选的语言
|
||||
if key == "Faster Whisper (多语种)":
|
||||
if default_batch_size <= 4:
|
||||
@ -1121,7 +1223,8 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
|
||||
|
||||
version_checkbox.change(switch_version, [version_checkbox], [pretrained_s2G, pretrained_s2D, pretrained_s1, GPT_dropdown, SoVITS_dropdown, batch_size, total_epoch, save_every_epoch, text_low_lr_rate, if_grad_ckpt, batched_infer_enabled, lora_rank])
|
||||
|
||||
with gr.TabItem(i18n("2-GPT-SoVITS-变声")):gr.Markdown(value=i18n("施工中，请静候佳音"))
|
||||
with gr.TabItem(i18n("2-GPT-SoVITS-变声")):
|
||||
gr.Markdown(value=i18n("施工中，请静候佳音"))
|
||||
|
||||
app.queue().launch( # concurrency_count=511, max_size=1022
|
||||
server_name="0.0.0.0",
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user