add text to explain the correlation tab purpose

folding_studio_demo/app.py

@@ -154,6 +154,20 @@ def model_comparison(api_key: str) -> None:
 
 def create_correlation_tab():
     gr.Markdown("# Correlation with experimental binding affinity data")
+    gr.Markdown("""
+        This analysis explores the relationship between protein folding model confidence scores and experimental binding affinity data.
+        
+        The experimental dataset contains binding affinity measurements (KD in nM) between antibody-antigen pairs. 
+        Each data point includes:
+        - The antibody's light and heavy chain sequences
+        - The antigen sequence 
+        - The experimental KD value
+        
+        The analysis involves submitting these sequences to protein folding models for 3D structure prediction.
+        The models generate various confidence scores for each prediction. These scores are then correlated
+        with the experimental binding affinity measurements to evaluate their effectiveness as predictors
+        of binding strength.
+    """)
     spr_data_with_scores = pd.read_csv("spr_af_scores_mapped.csv")
     prettified_columns = {
         "antibody_name": "Antibody Name",