Update app.py

app.py

@@ -12,9 +12,9 @@ from transformers import (
     pipeline,
 )
 
-device = "cuda:0" if torch.cuda.is_available() else "cpu"
+# device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
-# device = "cpu"
+device = "cpu"
 # load speech translation checkpoint
 asr_pipe = pipeline("automatic-speech-recognition",
                     model="openai/whisper-base", device=device)
@@ -48,7 +48,7 @@ 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 Indonesian. 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 Indonesian. Demo uses OpenAI's [Whisper Base](https://huggingface.co/openai/whisper-base) model for speech transcription, [Deep Translator](https://github.com/nidhaloff/deep-translator) for translation, and Meta's
 [MMS TTS IND](https://huggingface.co/facebook/mms-tts-ind) 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")
 """