diff --git a/GPT_SoVITS/inference_webui.py b/GPT_SoVITS/inference_webui.py
index e5e604f..32c9b4a 100644
--- a/GPT_SoVITS/inference_webui.py
+++ b/GPT_SoVITS/inference_webui.py
@@ -115,7 +115,6 @@ vq_model.eval()
 print(vq_model.load_state_dict(dict_s2["weight"], strict=False))
 hz = 50
 max_sec = config["data"]["max_sec"]
-# t2s_model = Text2SemanticLightningModule.load_from_checkpoint(checkpoint_path=gpt_path, config=config, map_location="cpu")#########todo
 t2s_model = Text2SemanticLightningModule(config, "ojbk", is_train=False)
 t2s_model.load_state_dict(dict_s1["weight"])
 if is_half == True:
@@ -149,13 +148,21 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language)
     t0 = ttime()
     prompt_text = prompt_text.strip("\n")
     prompt_language, text = prompt_language, text.strip("\n")
+    zero_wav = np.zeros(
+        int(hps.data.sampling_rate * 0.3),
+        dtype=np.float16 if is_half == True else np.float32,
+    )
     with torch.no_grad():
-        wav16k, sr = librosa.load(ref_wav_path, sr=16000)  # 派蒙
+        wav16k, sr = librosa.load(ref_wav_path, sr=16000)
         wav16k = torch.from_numpy(wav16k)
+        zero_wav_torch = torch.from_numpy(zero_wav)
         if is_half == True:
             wav16k = wav16k.half().to(device)
+            zero_wav_torch = zero_wav_torch.half().to(device)
         else:
             wav16k = wav16k.to(device)
+            zero_wav_torch = zero_wav_torch.to(device)
+        wav16k=torch.cat([wav16k,zero_wav_torch])
         ssl_content = ssl_model.model(wav16k.unsqueeze(0))[
             "last_hidden_state"
         ].transpose(
@@ -170,10 +177,6 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language)
     phones1 = cleaned_text_to_sequence(phones1)
     texts = text.split("\n")
     audio_opt = []
-    zero_wav = np.zeros(
-        int(hps.data.sampling_rate * 0.3),
-        dtype=np.float16 if is_half == True else np.float32,
-    )
     for text in texts:
         # 解决输入目标文本的空行导致报错的问题
         if (len(text.strip()) == 0):