choressssssss

This commit is contained in:
XXXXRT666 2024-08-04 01:14:44 +08:00
parent eada712b23
commit 31aa0ceb0f
4 changed files with 63 additions and 21 deletions

2
.gitignore vendored
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@ -9,5 +9,7 @@ logs
reference reference
GPT_weights GPT_weights
SoVITS_weights SoVITS_weights
GPT_weights_v2
SoVITS_weights_v2
TEMP TEMP
weight.json weight.json

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@ -14,7 +14,7 @@ logging.getLogger("httpx").setLevel(logging.ERROR)
logging.getLogger("asyncio").setLevel(logging.ERROR) logging.getLogger("asyncio").setLevel(logging.ERROR)
logging.getLogger("charset_normalizer").setLevel(logging.ERROR) logging.getLogger("charset_normalizer").setLevel(logging.ERROR)
logging.getLogger("torchaudio._extension").setLevel(logging.ERROR) logging.getLogger("torchaudio._extension").setLevel(logging.ERROR)
import LangSegment, os, re, sys, json import LangSegment, os, re, sys, json, importlib
import pdb import pdb
import torch import torch
@ -22,8 +22,6 @@ if len(sys.argv)==1:sys.argv.append('v1')
version=os.environ.get("version","v1") version=os.environ.get("version","v1")
version="v2"if sys.argv[1]=="v2" else version version="v2"if sys.argv[1]=="v2" else version
os.environ['version']=version os.environ['version']=version
language=os.environ.get("language","auto")
language=sys.argv[-1] if len(sys.argv[-1])==5 else language
pretrained_sovits_name="GPT_SoVITS/pretrained_models/s2G488k.pth"if version=="v1"else"GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth" pretrained_sovits_name="GPT_SoVITS/pretrained_models/s2G488k.pth"if version=="v1"else"GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"
pretrained_gpt_name="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"if version=="v1"else "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt" pretrained_gpt_name="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"if version=="v1"else "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"
@ -73,8 +71,10 @@ from text.cleaner import clean_text
from time import time as ttime from time import time as ttime
from module.mel_processing import spectrogram_torch from module.mel_processing import spectrogram_torch
from tools.my_utils import load_audio from tools.my_utils import load_audio
from tools.i18n.i18n import I18nAuto from tools.i18n.i18n import I18nAuto, scan_language_list
language=os.environ.get("language","auto")
language=sys.argv[-1] if sys.argv[-1] in scan_language_list() else language
if language != 'auto': if language != 'auto':
i18n = I18nAuto(language=language) i18n = I18nAuto(language=language)
else: else:
@ -215,21 +215,28 @@ def get_spepc(hps, filename):
) )
return spec return spec
dict_language_v1 = {
dict_language = {
i18n("中文"): "all_zh",#全部按中文识别 i18n("中文"): "all_zh",#全部按中文识别
i18n("粤语"): "all_yue",#全部按中文识别
i18n("英文"): "en",#全部按英文识别#######不变 i18n("英文"): "en",#全部按英文识别#######不变
i18n("日文"): "all_ja",#全部按日文识别 i18n("日文"): "all_ja",#全部按日文识别
i18n("中英混合"): "zh",#按中英混合识别####不变
i18n("日英混合"): "ja",#按日英混合识别####不变
i18n("多语种混合"): "auto",#多语种启动切分识别语种
}
dict_language_v2 = {
i18n("中文"): "all_zh",#全部按中文识别
i18n("英文"): "en",#全部按英文识别#######不变
i18n("日文"): "all_ja",#全部按日文识别
i18n("粤语"): "all_yue",#全部按中文识别
i18n("韩文"): "all_ko",#全部按韩文识别 i18n("韩文"): "all_ko",#全部按韩文识别
i18n("中英混合"): "zh",#按中英混合识别####不变 i18n("中英混合"): "zh",#按中英混合识别####不变
i18n("粤英混合"): "yue",#按粤英混合识别####不变
i18n("日英混合"): "ja",#按日英混合识别####不变 i18n("日英混合"): "ja",#按日英混合识别####不变
i18n("粤英混合"): "yue",#按粤英混合识别####不变
i18n("韩英混合"): "ko",#按韩英混合识别####不变 i18n("韩英混合"): "ko",#按韩英混合识别####不变
i18n("多语种混合"): "auto",#多语种启动切分识别语种 i18n("多语种混合"): "auto",#多语种启动切分识别语种
i18n("多语种混合(粤语)"): "auto_yue",#多语种启动切分识别语种 i18n("多语种混合(粤语)"): "auto_yue",#多语种启动切分识别语种
} }
dict_language = dict_language_v1 if version =='v1' else dict_language_v2
def clean_text_inf(text, language): def clean_text_inf(text, language):
phones, word2ph, norm_text = clean_text(text, language) phones, word2ph, norm_text = clean_text(text, language)
@ -591,7 +598,7 @@ def process_text(texts):
def change_choices(): def change_choices():
SoVITS_names, GPT_names = get_weights_names() SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
return {"choices": sorted(SoVITS_names, key=custom_sort_key), "__type__": "update"}, {"choices": sorted(GPT_names, key=custom_sort_key), "__type__": "update"} return {"choices": sorted(SoVITS_names, key=custom_sort_key), "__type__": "update"}, {"choices": sorted(GPT_names, key=custom_sort_key), "__type__": "update"}
@ -603,7 +610,7 @@ os.makedirs("SoVITS_weights_v2",exist_ok=True)
os.makedirs("GPT_weights_v2",exist_ok=True) os.makedirs("GPT_weights_v2",exist_ok=True)
def get_weights_names(): def get_weights_names(GPT_weight_root, SoVITS_weight_root):
SoVITS_names = [pretrained_sovits_name] SoVITS_names = [pretrained_sovits_name]
for name in os.listdir(SoVITS_weight_root): for name in os.listdir(SoVITS_weight_root):
if name.endswith(".pth"): SoVITS_names.append("%s/%s" % (SoVITS_weight_root, name)) if name.endswith(".pth"): SoVITS_names.append("%s/%s" % (SoVITS_weight_root, name))
@ -613,7 +620,7 @@ def get_weights_names():
return SoVITS_names, GPT_names return SoVITS_names, GPT_names
SoVITS_names, GPT_names = get_weights_names() SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
def html_center(text, label='p'): def html_center(text, label='p'):
return f"""<div style="text-align: center; margin: 100; padding: 50;"> return f"""<div style="text-align: center; margin: 100; padding: 50;">
@ -625,6 +632,31 @@ def html_left(text, label='p'):
<{label} style="margin: 0; padding: 0;">{text}</{label}> <{label} style="margin: 0; padding: 0;">{text}</{label}>
</div>""" </div>"""
def switch_version(version_):
os.environ['version']=version_
global pretrained_sovits_name, pretrained_gpt_name, version
version = version_
importlib.reload(sys.modules['text.symbols'])
importlib.reload(sys.modules['text'])
importlib.reload(sys.modules['text.cleaner'])
importlib.reload(sys.modules['AR.models'])
importlib.reload(sys.modules['module.models'])
dict_language = dict_language_v1 if version =='v1' else dict_language_v2
SoVITS_weight_root="SoVITS_weights_v2" if version=='v2' else "SoVITS_weights"
GPT_weight_root="GPT_weights_v2" if version=='v2' else "GPT_weights"
pretrained_sovits_name="GPT_SoVITS/pretrained_models/s2G488k.pth"if version=="v1"else"GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"
pretrained_gpt_name="GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"if version=="v1"else "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"
SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
with open(f"./weight.json", 'r', encoding="utf-8") as file:
weight_data = file.read()
weight_data=json.loads(weight_data)
gpt_path = os.environ.get(
"gpt_path", weight_data.get('GPT',{}).get(version,pretrained_gpt_name))
sovits_path = os.environ.get(
"sovits_path", weight_data.get('SoVITS',{}).get(version,pretrained_sovits_name))
return {'__type__':'update', 'value':gpt_path, 'choices':GPT_names}, {'__type__':'update', 'value':sovits_path, 'choices':SoVITS_names}, {'__type__':'update', 'choices':list(dict_language.keys()), 'value':i18n("中文")}, {'__type__':'update', 'choices':list(dict_language.keys()), 'value':i18n("中文")}
with gr.Blocks(title="GPT-SoVITS WebUI") as app: with gr.Blocks(title="GPT-SoVITS WebUI") as app:
gr.Markdown( 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>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<b>LICENSE</b>.") 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>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<b>LICENSE</b>.")
@ -632,9 +664,10 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
with gr.Group(): with gr.Group():
gr.Markdown(html_center(i18n("模型切换"),'h3')) gr.Markdown(html_center(i18n("模型切换"),'h3'))
with gr.Row(): with gr.Row():
GPT_dropdown = gr.Dropdown(label=i18n("GPT模型列表"), choices=sorted(GPT_names, key=custom_sort_key), value=gpt_path, interactive=True,scale=13) GPT_dropdown = gr.Dropdown(label=i18n("GPT模型列表"), choices=sorted(GPT_names, key=custom_sort_key), value=gpt_path, interactive=True, scale=14)
SoVITS_dropdown = gr.Dropdown(label=i18n("SoVITS模型列表"), choices=sorted(SoVITS_names, key=custom_sort_key), value=sovits_path, interactive=True,scale=13) SoVITS_dropdown = gr.Dropdown(label=i18n("SoVITS模型列表"), choices=sorted(SoVITS_names, key=custom_sort_key), value=sovits_path, interactive=True, scale=14)
refresh_button = gr.Button(i18n("刷新模型路径"), variant="primary",scale=13) refresh_button = gr.Button(i18n("刷新模型路径"), variant="primary", scale=7)
version_dropdown = gr.Dropdown(label=i18n("切换模型版本"), choices=['v1','v2'], value=version, scale=7)
refresh_button.click(fn=change_choices, inputs=[], outputs=[SoVITS_dropdown, GPT_dropdown]) refresh_button.click(fn=change_choices, inputs=[], outputs=[SoVITS_dropdown, GPT_dropdown])
SoVITS_dropdown.change(change_sovits_weights, [SoVITS_dropdown], []) SoVITS_dropdown.change(change_sovits_weights, [SoVITS_dropdown], [])
GPT_dropdown.change(change_gpt_weights, [GPT_dropdown], []) GPT_dropdown.change(change_gpt_weights, [GPT_dropdown], [])
@ -682,6 +715,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
[inp_ref, prompt_text, prompt_language, text, text_language, how_to_cut, top_k, top_p, temperature, ref_text_free,speed,if_freeze], [inp_ref, prompt_text, prompt_language, text, text_language, how_to_cut, top_k, top_p, temperature, ref_text_free,speed,if_freeze],
[output], [output],
) )
version_dropdown.change(switch_version,[version_dropdown],[GPT_dropdown,SoVITS_dropdown,prompt_language,text_language])
# gr.Markdown(value=i18n("文本切分工具。太长的文本合成出来效果不一定好,所以太长建议先切。合成会根据文本的换行分开合成再拼起来。")) # gr.Markdown(value=i18n("文本切分工具。太长的文本合成出来效果不一定好,所以太长建议先切。合成会根据文本的换行分开合成再拼起来。"))
# with gr.Row(): # with gr.Row():

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@ -9,6 +9,12 @@ def load_language_list(language):
language_list = json.load(f) language_list = json.load(f)
return language_list return language_list
def scan_language_list():
language_list = []
for name in os.listdir(I18N_JSON_DIR):
if name.endswith(".json"):language_list.append(name.split('.')[0])
return language_list
class I18nAuto: class I18nAuto:
def __init__(self, language=None): def __init__(self, language=None):
if language in ["Auto", None]: if language in ["Auto", None]:

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@ -1,9 +1,7 @@
import os,shutil,sys,pdb,re import os,shutil,sys,pdb,re
if len(sys.argv)==1:sys.argv.append('v1') if len(sys.argv)==1:sys.argv.append('v1')
version="v2"if sys.argv[1]=="v2" else"v1" version="v2"if sys.argv[1]=="v2" else"v1"
language=sys.argv[-1] if len(sys.argv[-1])==5 else "auto"
os.environ["version"]=version os.environ["version"]=version
os.environ["language"]=language
now_dir = os.getcwd() now_dir = os.getcwd()
sys.path.insert(0, now_dir) sys.path.insert(0, now_dir)
import json,yaml,warnings,torch import json,yaml,warnings,torch
@ -54,7 +52,9 @@ import gradio as gr
from subprocess import Popen from subprocess import Popen
import signal import signal
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 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
from tools.i18n.i18n import I18nAuto from tools.i18n.i18n import I18nAuto, scan_language_list
language=sys.argv[-1] if sys.argv[-1] in scan_language_list() else "auto"
os.environ["language"]=language
if language != 'auto': if language != 'auto':
i18n = I18nAuto(language=language) i18n = I18nAuto(language=language)
else: else: