better description

app.py

@@ -58,9 +58,7 @@ def upload_file(file):
 
 with gr.Blocks() as demo:
     gr.Markdown("""This demo allows you to play with the **TabPFN**.
-    You can either change the table manually (we have filled it with a toy benchmark, sum up to 3 has label 1 and over that label 2).
-    The network predicts fields you leave empty. Only one column can have empty entries that are predicted.
-    Please, provide everything but the label column as numeric values. It is ok to encode classes as integers.
+    Upload a .arff file, select an attribute to predict and the number of cross validation folds and get the ROC AUC OVO score.
     """)
     inp_file = gr.File(
         label='Drop either a .csv (without header, only numeric values for all but the labels) or a .arff file.')