app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("text-classification", model="roberta-base-openai-detector")

def greet(text):
    data = pipe(text)[0]
    label = data["label"]
    score = data["score"]
    score = score * 100
    return f"The text is {label}, with {score:.1f}% possibility." 
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()