Update app.py

app.py

@@ -48,8 +48,9 @@ with gr.Blocks() as iface:
 
     gr.Markdown("""
     **Important Notes**  
-    - Predicted impact is a probabilistic value generated by the model and does not reflect paper quality or novelty.  
     - It is intended as a tool for research and educational purposes only.
+    - The web version is a demo for testing purposes. Due to partial environment discrepancies, predictions may have a deviation of up to <0.05.
+    - Predicted impact is a probabilistic value generated by the model and does not reflect paper quality or novelty.  
     - The author takes no responsibility for the prediction results.
     - To identify potentially impactful papers, this study uses the sigmoid+MSE approach to optimize NDCG values (over sigmoid+BCE), resulting in predicted values concentrated between 0.1 and 0.9 due to the sigmoid gradient effect.
     - Generally, we consider a predicted influence score greater than 0.65 to indicate an exceptionally impactful paper.