app.py

import gradio as gr
from transformers import pipeline, set_seed

def greet(name):
    generator = pipeline('text-generation', model='gpt2')
    set_seed(42)
    res = generator(name, max_length=10, num_return_sequences=5)
    return str(res)

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()