app.py

import gradio as gr

iface = gr.Interface.load("huggingface/bigscience/T0pp", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title="NLP Tasks - T0pp", description="This T0pp language model can perform natural language processing (NLP) tasks such as inference, paraphrasing, question-answering and summarization. You can specify the task and query in natural language in the Input Text box.", examples=[
    ['A is the son of uncle B. What is the family relationship between A and B?'],["Question A: How is air traffic controlled?
Question B: How do you become an air traffic controller?
Pick one: these questions are duplicates or not duplicates."],["Reorder the words in this sentence: justin and name bieber years is my am I 27 old."]
], enable_queue=True)

iface.launch()