Update app.py

app.py

@@ -19,8 +19,8 @@ csv.field_size_limit(sys.maxsize)
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # Load models and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("pxf4fp/AwareRx")
-model = AutoModelForSequenceClassification.from_pretrained("pxf4fp/AwareRx").to(device)
+tokenizer = AutoTokenizer.from_pretrained("TyHamil/ADRv2025")
+model = AutoModelForSequenceClassification.from_pretrained("TyHamil/ADRv2025").to(device)
 
 # Prediction pipeline
 pred = transformers.pipeline("text-classification", model=model, tokenizer=tokenizer, top_k=None, device=device)