diff --git a/GPT_SoVITS/inference_webui.py b/GPT_SoVITS/inference_webui.py
index 618981c..e6ab7f7 100644
--- a/GPT_SoVITS/inference_webui.py
+++ b/GPT_SoVITS/inference_webui.py
@@ -86,6 +86,7 @@ else:
 
 
 def get_bert_feature(text, word2ph):
+    print(23333334444444,text,word2ph)
     with torch.no_grad():
         inputs = tokenizer(text, return_tensors="pt")
         for i in inputs:
@@ -332,11 +333,11 @@ def get_cleaned_text_final(text,language):
     return phones, word2ph, norm_text
 
 def get_bert_final(phones, word2ph, text,language,device):
-    if text_language == "en":
+    if language == "en":
         bert = get_bert_inf(phones, word2ph, text, language)
-    elif text_language in {"zh", "ja","auto"}:
+    elif language in {"zh", "ja","auto"}:
         bert = nonen_get_bert_inf(text, language)
-    elif text_language == "all_zh":
+    elif language == "all_zh":
         bert = get_bert_feature(text, word2ph).to(device)
     else:
         bert = torch.zeros((1024, len(phones))).to(device)
@@ -376,9 +377,10 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
         )  # .float()
         codes = vq_model.extract_latent(ssl_content)
         prompt_semantic = codes[0, 0]
-
     t1 = ttime()
+
     phones1, word2ph1, norm_text1=get_cleaned_text_final(prompt_text, prompt_language)
+
     if (how_to_cut == i18n("凑四句一切")):
         text = cut1(text)
     elif (how_to_cut == i18n("凑50字一切")):
@@ -403,7 +405,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
         print(i18n("实际输入的目标文本(每句):"), text)
         phones2, word2ph2, norm_text2 = get_cleaned_text_final(text, text_language)
         bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device).to(dtype)
-
+        print(bert1,bert2)
         bert = torch.cat([bert1, bert2], 1)
 
         all_phoneme_ids = torch.LongTensor(phones1 + phones2).to(device).unsqueeze(0)
@@ -582,7 +584,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
             inp_ref = gr.Audio(label=i18n("请上传3~10秒内参考音频，超过会报错！"), type="filepath")
             prompt_text = gr.Textbox(label=i18n("参考音频的文本"), value="")
             prompt_language = gr.Dropdown(
-                label=i18n("参考音频的语种"), choices=[i18n("中文"), i18n("英文"), i18n("日文")], value=i18n("中文")
+                label=i18n("参考音频的语种"), choices=[i18n("中文"), i18n("英文"), i18n("日文"), i18n("中英混合"), i18n("日英混合"), i18n("多语种混合")], value=i18n("中文")
             )
         gr.Markdown(value=i18n("*请填写需要合成的目标文本。中英混合选中文，日英混合选日文，中日混合暂不支持，非目标语言文本自动遗弃。"))
         with gr.Row():