Update app.py

app.py

@@ -12,9 +12,9 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
-processor = SpeechT5Processor.from_pretrained("YeQing/speecht5_tts_commonvioce_zh")
+processor = SpeechT5Processor.from_pretrained("wuula/speecht5_tts_common_voice_zh")
 
-model = SpeechT5ForTextToSpeech.from_pretrained("YeQing/speecht5_tts_commonvioce_zh").to(device)
+model = SpeechT5ForTextToSpeech.from_pretrained("wuula/speecht5_tts_common_voice_zh").to(device)
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)
 
 embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")