Update app.py

Changing language to German. Changes in model, tokeniser and translate()

app.py

@@ -14,15 +14,15 @@ 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-fra").to(device)
-tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-fra")
+model = VitsModel.from_pretrained("Matthijs/mms-tts-dae").to(device)
+tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-dae")
 
 #embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
 #speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
 
 
 def translate(audio):
-    outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language": "fr"})
+    outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language": "de"})
     return outputs["text"]
 
 
@@ -49,7 +49,7 @@ def speech_to_speech_translation(audio):
 
 title = "Cascaded STST"
 description = """
-Demo for cascaded speech-to-speech translation (STST), mapping from source speech in any language to target speech in English. Demo uses OpenAI's [Whisper Base](https://huggingface.co/openai/whisper-base) model for speech translation, and Microsoft's
+Demo for cascaded speech-to-speech translation (STST), mapping from source speech in any language to target speech in German. Demo uses OpenAI's [Whisper Base](https://huggingface.co/openai/whisper-base) model for speech translation, and Microsoft's
 [SpeechT5 TTS](https://huggingface.co/microsoft/speecht5_tts) model for text-to-speech:
 
 ![Cascaded STST](https://huggingface.co/datasets/huggingface-course/audio-course-images/resolve/main/s2st_cascaded.png "Diagram of cascaded speech to speech translation")