Update app.py

app.py

@@ -218,18 +218,18 @@ if __name__ == "__main__":
                     value="TextFooler",
                     label="Choose an Adversarial Attacker for generating an adversarial example to attack the model.",
                 )
-            with gr.Group():
-
-                with gr.Row():
-                    input_sentence = gr.Textbox(
-                        placeholder="Input a natural example...",
-                        label="Alternatively, input a natural example and its original label (from above datasets) to generate an adversarial example.",
-                    )
-                    input_label = gr.Textbox(
-                        placeholder="Original label, （must be a integer, because we use digits to represent labels in training）", label="Original Label"
-                    )
-                gr.Markdown(
-                    "<h3 align='center'>To input an example, please select a dataset which the example belongs to or resembles.</h2>")
+            # with gr.Group():
+
+            #     with gr.Row():
+            #         input_sentence = gr.Textbox(
+            #             placeholder="Input a natural example...",
+            #             label="Alternatively, input a natural example and its original label (from above datasets) to generate an adversarial example.",
+            #         )
+            #         input_label = gr.Textbox(
+            #             placeholder="Original label, （must be a integer, because we use digits to represent labels in training）", label="Original Label"
+            #         )
+            #     gr.Markdown(
+            #         "<h3 align='center'>To input an example, please select a dataset which the example belongs to or resembles.</h2>")
 
         msg_text = gr.Textbox(
             label="Message",
@@ -318,7 +318,8 @@ if __name__ == "__main__":
         # Bind functions to buttons
         button_gen.click(
             fn=run_demo,
-            inputs=[input_dataset, input_attacker, input_sentence, input_label],
+            # inputs=[input_dataset, input_attacker, input_sentence, input_label],
+            inputs=[input_dataset, input_attacker, None, None],
             outputs=[
                 output_original_example,
                 output_original_label,