Update app.py

app.py

@@ -22,8 +22,8 @@ embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validat
 speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
 
 
-model = VitsModel.from_pretrained("Matthijs/mms-tts-deu").to(device)
-tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-deu")
+model_mms = VitsModel.from_pretrained("Matthijs/mms-tts-deu").to(device)
+tokenizer_mms = VitsTokenizer.from_pretrained("Matthijs/mms-tts-deu")
 
 def translate(audio):
     outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language": "de"})