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Update Documentation (#2420)

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* docs(中文更新日志): 重新排版24年08月以来的更新日志

* 添加细节

* docs(英文更新日志): 重新排版24年08月以来的更新日志

* 修正句子

* docs(changelog): Reformat and Update Changelog since August 2024.

* docs(i18n): Update i18n config for all languages

* docs(webui): Split i18n sentences for detection
This commit is contained in:
SapphireLab
2025-06-03 10:29:58 +08:00
committed by GitHub
parent 968952fd2a
commit 663c3cc6fc
20 changed files with 1440 additions and 545 deletions
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165
GPT_SoVITS/inference_webui_fast.py
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@@ -147,7 +147,11 @@ def inference(
"text": text,
"text_lang": dict_language[text_lang],
"ref_audio_path": ref_audio_path,
"aux_ref_audio_paths": [item.name for item in aux_ref_audio_paths] if aux_ref_audio_paths is not None else [],
"aux_ref_audio_paths": (
[item.name for item in aux_ref_audio_paths]
if aux_ref_audio_paths is not None
else []
),
"prompt_text": prompt_text if not ref_text_free else "",
"prompt_lang": dict_language[prompt_lang],
"top_k": top_k,
@@ -182,7 +186,10 @@ def custom_sort_key(s):
def change_choices():
SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
return {"choices": sorted(SoVITS_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",
}
@@ -223,15 +230,25 @@ else:
with open("./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))
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),
)
if isinstance(gpt_path, list):
gpt_path = gpt_path[0]
if isinstance(sovits_path, list):
sovits_path = sovits_path[0]
SoVITS_weight_root = ["SoVITS_weights", "SoVITS_weights_v2", "SoVITS_weights_v3", "SoVITS_weights_v4"]
SoVITS_weight_root = [
"SoVITS_weights",
"SoVITS_weights_v2",
"SoVITS_weights_v3",
"SoVITS_weights_v4",
]
GPT_weight_root = ["GPT_weights", "GPT_weights_v2", "GPT_weights_v3", "GPT_weights_v4"]
for path in SoVITS_weight_root + GPT_weight_root:
os.makedirs(path, exist_ok=True)
@@ -266,7 +283,12 @@ def change_sovits_weights(sovits_path, prompt_language=None, text_language=None)
is_exist = is_exist_s2gv3 if model_version == "v3" else is_exist_s2gv4
path_sovits = path_sovits_v3 if model_version == "v3" else path_sovits_v4
if if_lora_v3 == True and is_exist == False:
info = path_sovits + i18n("SoVITS %s 底模缺失，无法加载相应 LoRA 权重" % model_version)
info = (
path_sovits
+ f"SoVITS {model_version}"
+ " : "
+ i18n("底模缺失，无法加载相应 LoRA 权重")
)
gr.Warning(info)
raise FileExistsError(info)
dict_language = dict_language_v1 if version == "v1" else dict_language_v2
@@ -280,7 +302,10 @@ def change_sovits_weights(sovits_path, prompt_language=None, text_language=None)
prompt_text_update = {"__type__": "update", "value": ""}
prompt_language_update = {"__type__": "update", "value": i18n("中文")}
if text_language in list(dict_language.keys()):
text_update, text_language_update = {"__type__": "update"}, {"__type__": "update", "value": text_language}
text_update, text_language_update = {"__type__": "update"}, {
"__type__": "update",
"value": text_language,
}
else:
text_update = {"__type__": "update", "value": ""}
text_language_update = {"__type__": "update", "value": i18n("中文")}
@@ -299,8 +324,15 @@ def change_sovits_weights(sovits_path, prompt_language=None, text_language=None)
text_language_update,
{"__type__": "update", "interactive": visible_sample_steps, "value": 32},
{"__type__": "update", "visible": visible_inp_refs},
{"__type__": "update", "interactive": True if model_version not in v3v4set else False},
{"__type__": "update", "value": i18n("模型加载中，请等待"), "interactive": False},
{
"__type__": "update",
"interactive": True if model_version not in v3v4set else False,
},
{
"__type__": "update",
"value": i18n("模型加载中，请等待"),
"interactive": False,
},
)
tts_pipeline.init_vits_weights(sovits_path)
@@ -313,7 +345,10 @@ def change_sovits_weights(sovits_path, prompt_language=None, text_language=None)
text_language_update,
{"__type__": "update", "interactive": visible_sample_steps, "value": 32},
{"__type__": "update", "visible": visible_inp_refs},
{"__type__": "update", "interactive": True if model_version not in v3v4set else False},
{
"__type__": "update",
"interactive": True if model_version not in v3v4set else False,
},
{"__type__": "update", "value": i18n("合成语音"), "interactive": True},
)
with open("./weight.json") as f:
@@ -326,9 +361,13 @@ def change_sovits_weights(sovits_path, prompt_language=None, text_language=None)
with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) 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.")
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.")
+ 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."
)
)
with gr.Column():
@@ -348,13 +387,18 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
interactive=True,
)
refresh_button = gr.Button(i18n("刷新模型路径"), variant="primary")
refresh_button.click(fn=change_choices, inputs=[], outputs=[SoVITS_dropdown, GPT_dropdown])
refresh_button.click(
fn=change_choices, inputs=[], outputs=[SoVITS_dropdown, GPT_dropdown]
)
with gr.Row():
with gr.Column():
gr.Markdown(value=i18n("*请上传并填写参考信息"))
with gr.Row():
inp_ref = gr.Audio(label=i18n("主参考音频(请上传3~10秒内参考音频，超过会报错！)"), type="filepath")
inp_ref = gr.Audio(
label=i18n("主参考音频(请上传3~10秒内参考音频，超过会报错！)"),
type="filepath",
)
inp_refs = gr.File(
label=i18n("辅参考音频(可选多个，或不选)"),
file_count="multiple",
@@ -363,7 +407,9 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
prompt_text = gr.Textbox(label=i18n("主参考音频的文本"), value="", lines=2)
with gr.Row():
prompt_language = gr.Dropdown(
label=i18n("主参考音频的语种"), choices=list(dict_language.keys()), value=i18n("中文")
label=i18n("主参考音频的语种"),
choices=list(dict_language.keys()),
value=i18n("中文"),
)
with gr.Column():
ref_text_free = gr.Checkbox(
@@ -375,14 +421,20 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
gr.Markdown(
i18n("使用无参考文本模式时建议使用微调的GPT")
+ "<br>"
+ i18n("听不清参考音频说的啥(不晓得写啥)可以开。开启后无视填写的参考文本。")
+ i18n(
"听不清参考音频说的啥(不晓得写啥)可以开。开启后无视填写的参考文本。"
)
)
with gr.Column():
gr.Markdown(value=i18n("*请填写需要合成的目标文本和语种模式"))
text = gr.Textbox(label=i18n("需要合成的文本"), value="", lines=20, max_lines=20)
text = gr.Textbox(
label=i18n("需要合成的文本"), value="", lines=20, max_lines=20
)
text_language = gr.Dropdown(
label=i18n("需要合成的文本的语种"), choices=list(dict_language.keys()), value=i18n("中文")
label=i18n("需要合成的文本的语种"),
choices=list(dict_language.keys()),
value=i18n("中文"),
)
with gr.Group():
@@ -391,27 +443,69 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
with gr.Column():
with gr.Row():
batch_size = gr.Slider(
minimum=1, maximum=200, step=1, label=i18n("batch_size"), value=20, interactive=True
minimum=1,
maximum=200,
step=1,
label=i18n("batch_size"),
value=20,
interactive=True,
)
sample_steps = gr.Radio(
label=i18n("采样步数(仅对V3/4生效)"), value=32, choices=[4, 8, 16, 32, 64, 128], visible=True
label=i18n("采样步数(仅对V3/4生效)"),
value=32,
choices=[4, 8, 16, 32, 64, 128],
visible=True,
)
with gr.Row():
fragment_interval = gr.Slider(
minimum=0.01, maximum=1, step=0.01, label=i18n("分段间隔(秒)"), value=0.3, interactive=True
minimum=0.01,
maximum=1,
step=0.01,
label=i18n("分段间隔(秒)"),
value=0.3,
interactive=True,
)
speed_factor = gr.Slider(
minimum=0.6, maximum=1.65, step=0.05, label="语速", value=1.0, interactive=True
minimum=0.6,
maximum=1.65,
step=0.05,
label="语速",
value=1.0,
interactive=True,
)
with gr.Row():
top_k = gr.Slider(minimum=1, maximum=100, step=1, label=i18n("top_k"), value=5, interactive=True)
top_p = gr.Slider(minimum=0, maximum=1, step=0.05, label=i18n("top_p"), value=1, interactive=True)
top_k = gr.Slider(
minimum=1,
maximum=100,
step=1,
label=i18n("top_k"),
value=5,
interactive=True,
)
top_p = gr.Slider(
minimum=0,
maximum=1,
step=0.05,
label=i18n("top_p"),
value=1,
interactive=True,
)
with gr.Row():
temperature = gr.Slider(
minimum=0, maximum=1, step=0.05, label=i18n("temperature"), value=1, interactive=True
minimum=0,
maximum=1,
step=0.05,
label=i18n("temperature"),
value=1,
interactive=True,
)
repetition_penalty = gr.Slider(
minimum=0, maximum=2, step=0.05, label=i18n("重复惩罚"), value=1.35, interactive=True
minimum=0,
maximum=2,
step=0.05,
label=i18n("重复惩罚"),
value=1.35,
interactive=True,
)
with gr.Column():
@@ -431,11 +525,19 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
scale=1,
)
super_sampling = gr.Checkbox(
label=i18n("音频超采样(仅对V3生效))"), value=False, interactive=True, show_label=True
label=i18n("音频超采样(仅对V3生效))"),
value=False,
interactive=True,
show_label=True,
)
with gr.Row():
parallel_infer = gr.Checkbox(label=i18n("并行推理"), value=True, interactive=True, show_label=True)
parallel_infer = gr.Checkbox(
label=i18n("并行推理"),
value=True,
interactive=True,
show_label=True,
)
split_bucket = gr.Checkbox(
label=i18n("数据分桶(并行推理时会降低一点计算量)"),
value=True,
@@ -445,7 +547,12 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
with gr.Row():
seed = gr.Number(label=i18n("随机种子"), value=-1)
keep_random = gr.Checkbox(label=i18n("保持随机"), value=True, interactive=True, show_label=True)
keep_random = gr.Checkbox(
label=i18n("保持随机"),
value=True,
interactive=True,
show_label=True,
)
output = gr.Audio(label=i18n("输出的语音"))
with gr.Row():