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app.py

@@ -199,7 +199,15 @@ def _row_pair(r):
 
 
 def predict(arm_label, rows, progress=gr.Progress()):
-    pairs = [_row_pair(r) for r in (rows or [])]
+    # Gradio 6 delivers a Dataframe input as a pandas DataFrame server-side;
+    # normalise to a list of rows first (never use `rows or []` on a DataFrame).
+    if rows is None:
+        row_list = []
+    elif hasattr(rows, "values") and hasattr(rows, "columns"):  # pandas DataFrame
+        row_list = rows.values.tolist()
+    else:
+        row_list = list(rows)
+    pairs = [_row_pair(r) for r in row_list]
     pairs = [(l, c) for l, c in pairs if l and c > 0]
     if not pairs:
         return None, "Add at least one ingredient (with a concentration > 0)."