Update app.py

app.py

@@ -11,7 +11,8 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 asr_pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
-processor = SpeechT5Processor.from_pretrained("ttskit/ttskit-tts-ljspeech")
+processor = SpeechT5Processor.from_pretrained("tugstugi/mongolian-tts-ljspeech")
+
 
 model = SpeechT5ForTextToSpeech.from_pretrained("ttskit/ttskit-tts-ljspeech").to(device)
 vocoder = SpeechT5HifiGan.from_pretrained("ljspeech/vocoder-cryptron").to(device)