app.py

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='gpt2')

def func(sentence):
    return generator(sentence, max-length=30, num_return_sequences=5)

demo = gr.Interface(fn=func, inputs="text", outputs=["text", "text", "text", "text", "text"])

if __name__ == "__main__":
    demo.launch()