Update app.py

app.py

@@ -14,7 +14,9 @@ import time
 #token_key = os.environ.get("HUGGING_FACE_HUB_TOKEN")
 #model_name = "unilux/wav2vec-xls-r-Luxembourgish20-with-LM"
 #model_name = "unilux/wav2vec-xlsr-300m-Luxembourgish-with-LM"
+
 model_name = "pgilles/whisper-large-v2-lb_cased_01"
+
 #tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(model_name, use_auth_token=token_key)
 #model = Wav2Vec2ForCTC.from_pretrained(model_name, use_auth_token=token_key)
 #processor = Wav2Vec2ProcessorWithLM.from_pretrained(model_name, use_auth_token=token_key)
@@ -23,9 +25,6 @@ model_name = "pgilles/whisper-large-v2-lb_cased_01"
 #model = WhisperModel.from_pretrained(model_name)
 #processor = WhisperProcessor.from_pretrained(model_name)
 
-#device = "cuda" if torch.cuda.is_available() else "cpu"
-#model = model.to(device)
-
 #p = pipeline("automatic-speech-recognition", model=model, tokenizer=tokenizer, feature_extractor=processor.feature_extractor, decoder=processor.decoder, use_auth_token=token_key)
 p = pipeline("automatic-speech-recognition", model=model_name, device=0)