app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("text-classification", model="p1atdev/saikyou-shield-30m")

def classify(text): 
    return {
        item["label"]: item["score"]
        for item in pipe(text, top_k=2)
    }

demo = gr.Interface(
    fn=classify,
    inputs=["text"],
    outputs=["label"],
)

demo.launch()