Update inference_webui.py

inference_webui.py

@@ -84,12 +84,12 @@ from module.mel_processing import spectrogram_torch
 from module.models import SynthesizerTrn
 from text import cleaned_text_to_sequence
 from text.cleaner import clean_text
-from tools.i18n.i18n import I18nAuto, scan_language_list
+# from tools.i18n.i18n import I18nAuto, scan_language_list
 from tools.my_utils import load_audio
 
 # language=os.environ.get("language","Auto")
 # language=sys.argv[-1] if sys.argv[-1] in scan_language_list() else language
-i18n = I18nAuto(language="Auto")
+# i18n = I18nAuto(language="Auto")
 
 # os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1'  # 确保直接启动推理UI时也能够设置。
 
@@ -100,6 +100,13 @@ else:
     device = "cpu"
     is_half = False
 
+i18n_dict={}
+json_root="tools/i18n/locale"
+for name in os.listdir(json_root):
+    with open("%s/%s"%(json_root,name),"r")as f:
+        data=json.loads(f.read())
+    i18n_dict[name.split(".json")[0].replace("_","-")]=data
+i18n=gr.I18n(**i18n_dict)
 dict_language_v1 = {
     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
@@ -811,7 +818,7 @@ with gr.Blocks(
             text = gr.Textbox(label=i18n("需要合成的文本"), value="", lines=26, max_lines=26)
         with gr.Column():
             text_language = gr.Dropdown(
-                label=i18n("需要合成的语种") + i18n(".限制范围越小判别效果越好。"),
+                label=i18n("需要合成的语种。限制范围越小判别效果越好。"),
                 choices=list(dict_language.keys()),
                 value=i18n("中文"),
             )
@@ -902,5 +909,5 @@ if __name__ == "__main__":
         server_name="0.0.0.0",
         inbrowser=True,
         show_api=False,
-        allowed_paths=["/"],
+        allowed_paths=["/"],i18n=i18n
     )