app.py

from transformers import pipeline
import gradio as gr
import os
token = os.environ["token"]

classifier = pipeline("zero-shot-classification",
                      model="joeddav/xlm-roberta-large-xnli",use_auth_token=token)

def classify(text, intent_labels):
    res = classifier(text, intent_labels)
    results = {k: v for k, v in zip(res["labels"], res["scores"])}
    return results

# input is two text boxes, one for the text and one for the labels

gr.Interface(fn=classify, inputs=["textbox", "textbox"], outputs="label").launch()