Update app.py

app.py

@@ -1,9 +1,15 @@
 from transformers import pipeline
-from transformers import  WhisperProcessor, WhisperForConditionalGeneration
 import gradio as gr
+import torch
 
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
-asr = pipeline(model="MaximilianChen/Casper")
+asr = pipeline(
+    "automatic-speech-recognition",
+    model="MaximilianChen/Casper",
+    chunk_length_s=30,
+    device=device,
+)
 
 def transcribe_audio(mic=None, file=None):
     if mic is not None: