app.py

from transformers import pipeline, set_seed
from random import randint
generator = pipeline('text-generation', model='gpt2')
set_seed(randint(randint(1000,10000),randint(50000,300000)))
import gradio as gr

def gpt2(string):
    return generator(string, max_length=250, num_return_sequences=1)[0]['generated_text']
iface = gr.Interface(fn=gpt2, inputs="text", outputs="text")
iface.launch()