Upload app.py

app.py

@@ -22,7 +22,7 @@ from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Proce
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load speech translation checkpoint
-asr_pipe = pipeline("automatic-speech-recognition", model="voidful/wav2vec2-xlsr-multilingual-56", device=device)
+asr_pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-xls-r-300m", device=device)
 
 # !pip -q install sentencepiece
 # load text-to-speech checkpoint and speaker embeddings