Update app.py

app.py

@@ -14,11 +14,11 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 asr_pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-100h", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
-#processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
-#model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts").to(device)
+processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
+model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts").to(device)
 
-model = BarkModel.from_pretrained("suno/bark-small")
-processor = BarkProcessor.from_pretrained("suno/bark-small")
+#model = BarkModel.from_pretrained("suno/bark-small")
+#processor = BarkProcessor.from_pretrained("suno/bark-small")
 vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan").to(device)
 
 #model = BarkModel.from_pretrained("suno/bark-small")