Update app.py

app.py

@@ -25,6 +25,7 @@ def predict(title, abstract):
         load_in_8bit=True,)
         tokenizer = AutoTokenizer.from_pretrained(model_path)
         model.eval()
+    print(title + '\n' + abstract)
     text = f'''Given a certain paper, Title: {title}\n Abstract: {abstract}. \n Predict its normalized academic impact (between 0 and 1):'''
     inputs = tokenizer(text, return_tensors="pt").to(device)
     with torch.no_grad():