import gradio as gr
from transformers import pipeline

pipe = pipeline("text2text-generation", model="google/flan-t5-small")

def predict(prompt):
    return pipe(prompt)[0]["generated_text"]

demo = gr.Interface(
    fn=predict,
    inputs="text",
    outputs="text"
)

demo.launch()