Update app.py

app.py

@@ -28,11 +28,11 @@ model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabBeta/nb-whisper-large-
 processor = AutoProcessor.from_pretrained("NbAiLabBeta/nb-whisper-large-semantic")
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-torch_dtype = torch.float32
+#torch_dtype = torch.float32
 model.to(device)
 
 #asr = pipeline("automatic-speech-recognition", model=model, processor=processor.tokenizer, device=device, torch_dtype=torch.float32)
-pipe = pipeline("automatic-speech-recognition", model="NbAiLabBeta/nb-whisper-large-semantic")
+pipe = pipeline("automatic-speech-recognition", model="NbAiLabBeta/nb-whisper-large-semantic", device=device, torch_dtype=torch.float32)
 
 
 def transcribe_audio(audio_file):