Update Gradio/app.py

Gradio/app.py

@@ -20,11 +20,11 @@ Model = "kingabzpro/wav2vec2-large-xls-r-300m-Urdu"
 
 ############## Inference ##############################
 
-device = 0 if torch.cuda.is_available() else "cpu"
+
 def asr(audio):
 
     asr = pipeline("automatic-speech-recognition", model=Model)
-    prediction = asr(audio, chunk_length_s=30, device=device)
+    prediction = asr(audio, chunk_length_s=30)
     return unicodedata.normalize("NFC",prediction["text"])