Update app.py

app.py

@@ -19,9 +19,9 @@ def compute(table: np.array):
     table = table[non_empty_row_mask]
     empty_mask = table == '(predict)'
     empty_inds = np.where(empty_mask)
-    if len(table.index) > 1024:
+    if table.shape[0] > 1024:
         return "⚠️ **ERROR: TabPFN is not made for datasets with a trainingsize > 1024.**", None, None
-    if len(table.columns) > 100:
+    if table.shape[1] > 100:
         return "⚠️ **ERROR: TabPFN is not made for datasets with a feature size > 100.**", None, None
     if not len(empty_inds[0]):
         return "⚠️ **ERROR: Please leave at least one field blank for prediction.**", None, None