Update app.py

app.py

@@ -38,7 +38,7 @@ attack_recipes = {
 
 def init():
     nltk.download("omw-1.4")
-
+    nltk.download('averaged_perceptron_tagger_eng')
     # if not os.path.exists("TAD-SST2"):
     #     z = zipfile.ZipFile("checkpoints.zip", "r")
     #     z.extractall(os.getcwd())
@@ -210,7 +210,7 @@ if __name__ == "__main__":
         with gr.Group():
             with gr.Row():
                 input_dataset = gr.Radio(
-                    choices=["SST2", "Amazon", "Yahoo", "AGNews10K"],
+                    choices=["SST2", "Amazon", "AGNews10K"],
                     value="SST2",
                     label="Select a testing dataset and an adversarial attacker to generate an adversarial example.",
                 )