added explainer at the top

app.py

@@ -58,7 +58,7 @@ demo = gr.Interface(
         [negative_example]
     ],
     title="IBD Cohort Identifier",
-    description="Classify free-text clinical documents as IBD vs non-IBD using [Distil_IBD_BERT](https://huggingface.co/MattStammers/Distil_IBD_BERT). Reference: Stammers M, Gwiggner M, Nouraei R, Metcalf C, Batchelor J. From Rule-Based to DeepSeek R1: A Robust Comparative Evaluation of Fifty Years of Natural Language Processing (NLP) Models To Identify Inflammatory Bowel Disease Cohorts. medRxiv. 2025:2025-07."
+    description="Classify free-text clinical documents as IBD vs non-IBD using [Distil_IBD_BERT](https://huggingface.co/MattStammers/Distil_IBD_BERT). Please note these models are very likely over-fitted to the data on which they were trained and should be re-trained locally before attempting inference or results may not be amazing. However, this demo gives an idea of the models capabilities which far exceed that of any other open weight models for IBD detection in free-text currently available. Please read the paper for full information. Reference: Stammers M, Gwiggner M, Nouraei R, Metcalf C, Batchelor J. From Rule-Based to DeepSeek R1: A Robust Comparative Evaluation of Fifty Years of Natural Language Processing (NLP) Models To Identify Inflammatory Bowel Disease Cohorts. medRxiv. 2025:2025-07."
 )
 
 # Launch publicly on Hugging Face Spaces