Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+translator = pipeline('text2text-generation', model='edgilr/mbart-neutralization')
+
+def predict(txt):
+    return classifier(txt)[0]['label']
+    
+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)