Update app.py

app.py

@@ -10,9 +10,9 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v2", device=device)
 
 # Load MMS TTS model for multilingual text-to-speech (using German model as base)
-processor = SpeechT5Processor.from_pretrained("facebook/mms-tts-deu")
-model = SpeechT5ForTextToSpeech.from_pretrained("facebook/mms-tts-deu").to(device)
-vocoder = SpeechT5HifiGan.from_pretrained("facebook/mms-tts-deu").to(device)
+processor = SpeechT5Processor.from_pretrained("facebook/s2t-medium-mustc-multilingual-st")
+model = SpeechT5ForTextToSpeech.from_pretrained("facebook/s2t-medium-mustc-multilingual-st").to(device)
+vocoder = SpeechT5HifiGan.from_pretrained("facebook/s2t-medium-mustc-multilingual-st").to(device)
 
 # Define supported languages (adjust based on the languages supported by the model)
 LANGUAGES = {