Update app.py

mentioned dae instead of deu for german in model and tokeniser

app.py

@@ -14,8 +14,8 @@ asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base",
 # load text-to-speech checkpoint and speaker embeddings
 #processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
 
-model = VitsModel.from_pretrained("Matthijs/mms-tts-dae").to(device)
-tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-dae")
+model = VitsModel.from_pretrained("Matthijs/mms-tts-deu").to(device)
+tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-deu")
 
 #embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
 #speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)