Update GPT_SoVITS/app.py

GPT_SoVITS/app.py

@@ -21,8 +21,6 @@ import LangSegment, os, re, sys, json
 import pdb
 import torch
 
-import spaces
-
 version=os.environ.get("version","v2")
 pretrained_sovits_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth", "GPT_SoVITS/pretrained_models/s2G488k.pth"]
 pretrained_gpt_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt", "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"]
@@ -391,8 +389,6 @@ def merge_short_text_in_array(texts, threshold):
 ##ref_wav_path+prompt_text+prompt_language+text(单个)+text_language+top_k+top_p+temperature
 # cache_tokens={}#暂未实现清理机制
 cache= {}
-
-@spaces.GPU
 def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=i18n("不切"), top_k=20, top_p=0.6, temperature=0.6, ref_free = False,speed=1,if_freeze=False,inp_refs=123):
     global cache
     if ref_wav_path:pass
@@ -758,9 +754,6 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
 
 if __name__ == '__main__':
     app.queue().launch(
-        server_name="0.0.0.0",
-        inbrowser=True,
         share=False,
-        server_port=infer_ttswebui,
-        quiet=True,
+        show_error=True,
     )