Update app.py

app.py

@@ -4,8 +4,7 @@ import gradio as gr
 translator = pipeline('text2text-generation', model='edgilr/mbart-neutralization')
 
 def predict(txt):
-    return classifier(txt)[0]['label']
+    return classifier(txt)[0]['generated_text']
     
 gr.Interface(fn=predict, inputs="text", outputs="text",
-             examples=['the story gives ample opportunity for large-scale action and suspense , which director shekhar kapur supplies with tremendous skill .',
-                       'the thing looks like a made-for-home-video quickie .']).launch(share=True)
+             examples=['You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.']).launch(share=True)