Update app.py

app.py

@@ -46,7 +46,11 @@ def inference(audio_file_path: str, text_p: str, audio_file_path_p: str, text_n:
     pad = (320000 - (len(mixture) % 320000))if len(mixture) % 320000 != 0 else 0
 
     mixture =torch.tensor(np.pad(mixture,(0,pad)))
-
+    
+    max_value = torch.max(torch.abs(mixture))
+    if max_value > 1:
+        mixture *= 0.9 / max_value
+    
     mixture_chunks = torch.chunk(mixture, dim=0, chunks=len(mixture)//320000)
     sep_segments = []
     for chunk in mixture_chunks: