diff --git a/GPT_SoVITS/inference_webui.py b/GPT_SoVITS/inference_webui.py
index 4fe8045..03440a3 100644
--- a/GPT_SoVITS/inference_webui.py
+++ b/GPT_SoVITS/inference_webui.py
@@ -50,6 +50,7 @@ is_share = eval(is_share)
 if "_CUDA_VISIBLE_DEVICES" in os.environ:
     os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"]
 is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
+punctuation = set(['!', '?', '…', ',', '.', '-'," "])
 import gradio as gr
 from transformers import AutoModelForMaskedLM, AutoTokenizer
 import numpy as np
@@ -322,6 +323,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
         if (prompt_text[-1] not in splits): prompt_text += "。" if prompt_language != "en" else "."
         print(i18n("实际输入的参考文本:"), prompt_text)
     text = text.strip("\n")
+    text = replace_consecutive_punctuation(text)
     if (text[0] not in splits and len(get_first(text)) < 4): text = "。" + text if text_language != "en" else "." + text
     
     print(i18n("实际输入的目标文本:"), text)
@@ -366,6 +368,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
         text = text.replace("\n\n", "\n")
     print(i18n("实际输入的目标文本(切句后):"), text)
     texts = text.split("\n")
+    texts = process_text(texts)
     texts = merge_short_text_in_array(texts, 5)
     audio_opt = []
     if not ref_free:
@@ -463,6 +466,7 @@ def cut1(inp):
             opts.append("".join(inps[split_idx[idx]: split_idx[idx + 1]]))
     else:
         opts = [inp]
+    opts = [item for item in opts if not set(item).issubset(punctuation)]
     return "\n".join(opts)
 
 
@@ -487,17 +491,21 @@ def cut2(inp):
     if len(opts) > 1 and len(opts[-1]) < 50:  ##如果最后一个太短了，和前一个合一起
         opts[-2] = opts[-2] + opts[-1]
         opts = opts[:-1]
+    opts = [item for item in opts if not set(item).issubset(punctuation)]
     return "\n".join(opts)
 
 
 def cut3(inp):
     inp = inp.strip("\n")
-    return "\n".join(["%s" % item for item in inp.strip("。").split("。")])
-
+    opts = ["%s" % item for item in inp.strip("。").split("。")]
+    opts = [item for item in opts if not set(item).issubset(punctuation)]
+    return  "\n".join(opts)
 
 def cut4(inp):
     inp = inp.strip("\n")
-    return "\n".join(["%s" % item for item in inp.strip(".").split(".")])
+    opts = ["%s" % item for item in inp.strip(".").split(".")]
+    opts = [item for item in opts if not set(item).issubset(punctuation)]
+    return "\n".join(opts)
 
 
 # contributed by https://github.com/AI-Hobbyist/GPT-SoVITS/blob/main/GPT_SoVITS/inference_webui.py
@@ -511,8 +519,8 @@ def cut5(inp):
     # 在句子不存在符号或句尾无符号的时候保证文本完整
     if len(items)%2 == 1:
         mergeitems.append(items[-1])
-    opt = "\n".join(mergeitems)
-    return opt
+    opt = [item for item in mergeitems if not set(item).issubset(punctuation)]
+    return "\n".join(opt)
 
 
 def custom_sort_key(s):
@@ -522,6 +530,24 @@ def custom_sort_key(s):
     parts = [int(part) if part.isdigit() else part for part in parts]
     return parts
 
+def process_text(texts):
+    _text=[]
+    if all(text in [None, " ", "\n",""] for text in texts):
+        raise ValueError(i18n("请输入有效文本"))
+    for text in texts:
+        if text in  [None, " ", ""]:
+            pass
+        else:
+            _text.append(text)
+    return _text
+
+
+def replace_consecutive_punctuation(text):
+    punctuations = ''.join(re.escape(p) for p in punctuation)
+    pattern = f'([{punctuations}])([{punctuations}])+'
+    result = re.sub(pattern, r'\1', text)
+    return result
+
 
 def change_choices():
     SoVITS_names, GPT_names = get_weights_names()