app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")

def predict(text):
    predictions = pipeline(text)
    return {p["label"]: p["score"] for p in predictions}

gr.Interface(
    predict,
    inputs="text",
    outputs=gr.outputs.Label(num_top_classes=5),
    title="Text Classification",
).launch()