add space gpu

app.py

@@ -10,6 +10,9 @@ import numpy as np
 from huggingface_hub import snapshot_download, hf_hub_download
 import subprocess
 import re
+# 添加Huggingface spaces导入
+from huggingface_hub.spaces import Space
+import spaces
 
 def install_espeak():
     """检测并安装espeak-ng依赖"""
@@ -350,6 +353,7 @@ def get_pipeline(pipeline_type):
     return inference_pipeline
 
 # 实现VEVO功能函数
+@spaces.GPU
 def vevo_style(content_wav, style_wav):
     temp_content_path = "wav/temp_content.wav"
     temp_style_path = "wav/temp_style.wav"
@@ -432,6 +436,7 @@ def vevo_style(content_wav, style_wav):
         traceback.print_exc()
         raise e
 
+@spaces.GPU
 def vevo_timbre(content_wav, reference_wav):
     temp_content_path = "wav/temp_content.wav"
     temp_reference_path = "wav/temp_reference.wav"
@@ -525,6 +530,7 @@ def vevo_timbre(content_wav, reference_wav):
         traceback.print_exc()
         raise e
 
+@spaces.GPU
 def vevo_voice(content_wav, style_reference_wav, timbre_reference_wav):
     temp_content_path = "wav/temp_content.wav"
     temp_style_path = "wav/temp_style.wav"
@@ -646,6 +652,7 @@ def vevo_voice(content_wav, style_reference_wav, timbre_reference_wav):
         traceback.print_exc()
         raise e
 
+@spaces.GPU
 def vevo_tts(text, ref_wav, timbre_ref_wav=None, style_ref_text=None, src_language="en", ref_language="en", style_ref_text_language="en"):
     temp_ref_path = "wav/temp_ref.wav"
     temp_timbre_path = "wav/temp_timbre.wav"