Update app.py

app.py

@@ -128,7 +128,7 @@ def   modelspeech(text,name_model):
     
      inputs = tokenizer(text, return_tensors="pt")
      model=get_model(name_model)
-    with torch.no_grad():
+     with torch.no_grad():
         wav=list(_inference_forward_stream(model,input_ids=inputs.input_ids.cuda(),attention_mask=inputs.attention_mask.cuda(),speaker_embeddings= None,is_streaming=False))[0]
      # with torch.no_grad():
      #      wav = model(input_ids=inputs["input_ids"].cuda()).waveform.cpu().numpy().reshape(-1)#.detach()