Update app.py

app.py

@@ -25,7 +25,7 @@ device = 0 if torch.cuda.is_available() else "cpu"
 bnb_config = BitsAndBytesConfig(load_in_4bit=True)
 
 # Load the model
-model = WhisperForConditionalGeneration.from_pretrained(model_name, config=bnb_config)
+model = WhisperForConditionalGeneration.from_pretrained(MODEL_NAME, config=bnb_config)
 
 # bnb_config = bnb.QuantizationConfig(bits=4)
 pipe = pipeline(task="automatic-speech-recognition", model=model, chunk_length_s=30, device=device)