Update app.py

app.py

@@ -149,7 +149,7 @@ def   modelspeech(text=TXT,name_model="wasmdashai/vits-ar-sa-huba-v2",speaking_r
         wavs=_inference_forward_stream(model,input_ids=inputs.input_ids,attention_mask=inputs.attention_mask,speaker_embeddings= None,is_streaming=True)
      # with torch.no_grad():
      #      wav = model(input_ids=inputs["input_ids"].cuda()).waveform.cpu().numpy().reshape(-1)#.detach()
-      return  (model.config.sampling_rate,list(wavs)) 
+     return  (model.config.sampling_rate,np.concatenate(list(wavs))) 
     # for   wav in wavs:
          # yield  (model.config.sampling_rate,wav)