app.py

from transformers import pipeline, set_seed
from random import seed, choice
generator = pipeline('text-generation', model='gpt2')
set_seed(seed())
import gradio as gr

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