Update app.py

app.py

@@ -72,8 +72,8 @@ example = \
 
 with gr.Blocks() as demo:
     gr.Markdown("""This demo allows you to play with the **TabPFN**.
-The TabPFN will predict the values for all empty cells in one column.
-Please, provide everything but the label column as numeric values. It is ok to encode classes as integers.
+The TabPFN will classify the values for all empty cells in the label column.
+Please, provide everything but the label column as numeric values.
 You can also upload datasets to fill the table automatically.
     """)
     inp_table = gr.DataFrame(type='numpy', value=example, headers=[''] * 3)