Update app.py

app.py

@@ -75,22 +75,23 @@ 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)
+    upload_file('iris.csv')
+    
+    btn = gr.Button("Predict Empty Table Cells")
+    btn.click(fn=compute, inputs=inp_table, outputs=[out_text, out_table])
+    
+    out_text = gr.Markdown()
+    out_table = gr.DataFrame()
+    
     examples = gr.Examples(examples=['iris.csv', 'balance-scale.arff'],
                            inputs=[inp_file],
                            outputs=[inp_table],
                            fn=upload_file,
                            cache_examples=True)
-    inp_table = gr.DataFrame(type='numpy', value=example, headers=[''] * 3)
-    upload_file('iris.csv')
     inp_file = gr.File(
         label='Drop either a .csv (without header, only numeric values for all but the labels) or a .arff file.')
-    btn = gr.Button("Predict Empty Table Cells")
 
     inp_file.change(fn=upload_file, inputs=inp_file, outputs=inp_table)
 
-    out_text = gr.Markdown()
-    out_table = gr.DataFrame()
-
-    btn.click(fn=compute, inputs=inp_table, outputs=[out_text, out_table])
-
 demo.launch()