Update app.py

app.py

@@ -8,7 +8,7 @@ from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Proce
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load speech translation checkpoint
-asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v2", device=device)
+asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
 model_id = "Ellight/speecht5_finetuned_voxpopuli_nl"  # update with your model id