Update app.py

app.py

@@ -255,8 +255,8 @@ def predict(
 
     # D) Simple Distribution Plot (demo for first 3 labels & 4 inputs)
     # (Unchanged from prior approach; you can remove if you prefer.)
-    sample_feats = list(user_input_data.keys())[:4]
-    sample_labels = [fn.split(".")[0] for fn in model_filenames[:3]]
+    sample_feats = list(user_input_data.keys())[:31]
+    sample_labels = [fn.split(".")[0] for fn in model_filenames[:15]]
     dist_segments = []
     for feat in sample_feats:
         if feat not in df.columns: