app.py

import gradio as gr
from transformers import pipeline

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

def generate_text(prompt):
    return generator(prompt, max_length=50,temperature=1.2, top_k=50, top_p=0.9, repetition_penalty=1.2)[0]['generated_text']

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