Update for Russian speech app.py

app.py

@@ -27,7 +27,7 @@ def translate_text(text):
     return translated_text[0]['translation_text']
 
 # load text-to-speech checkpoint
-model = VitsModel.from_pretrained("voxxer/speecht5_finetuned_commonvoice_ru_translit")
+model = VitsModel.from_pretrained("facebook/mms-tts-rus")
 tokenizer = VitsTokenizer.from_pretrained("facebook/mms-tts-rus")
 
 def synthesise(text):
@@ -47,12 +47,13 @@ def speech_to_speech_translation(audio):
     return 16000, synthesised_speech[0]
 
 
-title = "Cascaded STST"
+title = "Cascaded STST for Russian"
 description = """
 * В начале происходит распознавание речи с помощью модели openai/whisper-small.
 * Затем полученный текст переводится сначала на английский с помощью Helsinki-NLP/opus-mt-mul-en, а потом на русский с помощью Helsinki-NLP/opus-mt-en-ru
 * На последнем шаге полученный текст озвучивается с помощью fine-tune-говой версии microsoft/speecht5_tts - voxxer/speecht5_finetuned_commonvoice_ru_translit
-Demo for cascaded speech-to-speech translation (STST), mapping from source speech in any language to target speech in Russian. Demo uses facebook/mms-tts-rus model for text-to-speech:
+  
+Demo for cascaded speech-to-speech translation (STST), mapping from source speech in any language to target speech in Russian. Demo uses openai/whisper-small for speech-to-text and facebook/mms-tts-rus 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")
 """