Update app.py

app.py

@@ -6,8 +6,6 @@ from datasets import load_dataset
 from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Processor, pipeline
 from transformers import VitsModel, VitsTokenizer
 
-
-
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load speech translation checkpoint
@@ -17,8 +15,8 @@ asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base",
 processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
 
 # model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts").to(device)
-model = VitsModel.from_pretrained("Matthijs/mms-tts-nld").to(device)
-tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-nld").to(device)
+# model = VitsModel.from_pretrained("Matthijs/mms-tts-nld").to(device)
+# tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-nld").to(device)
 
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)