import gradio as gr
from transformers import pipeline

def do_action(text):
    pipe = pipeline("text-classification", model="papluca/xlm-roberta-base-language-detection")
    result = pipe(text, top_k=10)

    # Reformat our result
    result = {item['label']: item['score'] for item in result}

    return result

iface = gr.Interface(fn=do_action, inputs="text", outputs="label")
iface.launch()