_

app.py

@@ -18,19 +18,19 @@ gcPU = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 print(gcPU)
 
 def func__vcTTS(*ip):
+    # vc_tts = TTS(model_name=ip[0], progress_bar=True).to(gcPU)
+    # op = torch.tensor(vc_tts.tts(text=ip[1],speaker_wav=ip[2],language='en')).numpy()
+    # return 'vcTTS',(24000,op)
+  try:
     vc_tts = TTS(model_name=ip[0], progress_bar=True).to(gcPU)
     op = torch.tensor(vc_tts.tts(text=ip[1],speaker_wav=ip[2],language='en')).numpy()
     return 'vcTTS',(24000,op)
-  # try:
-  #   vc_tts = TTS(model_name=ip[0], progress_bar=True).to(gcPU)
-  #   op = torch.tensor(vc_tts.tts(text=ip[1],speaker_wav=ip[2],language='en')).numpy()
-  #   return 'vcTTS',(24000,op)
-  # except:
-  #   vc_tts = TTS(model_name=ip[0], progress_bar=True).to(gcPU)
-  #   op = torch.tensor(vc_tts.tts(text=ip[1],speaker_wav=ip[2])).numpy()
-  #   return 'vcTTS',(24000,op)
-  # except Exception as expn:
-  #   return expn,gr.Audio()
+  except ValueError as expn__ve:
+    vc_tts = TTS(model_name=ip[0], progress_bar=True).to(gcPU)
+    op = torch.tensor(vc_tts.tts(text=ip[1],speaker_wav=ip[2])).numpy()
+    return 'vcTTS',(24000,op)
+  except Exception as expn:
+    return expn,gr.Audio()
 
 io = gr.Blocks()
 with gr.Blocks() as io: