app.py

import gradio as gr
import os

HF_TOKEN = os.getenv("HF_API_TOKEN")
hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "text-classification-demo-flags")

description = "Estimate skill level"
title = "Enter words below"
examples = [["Adventurer is approached by a mysterious stranger in the tavern for a new quest."]]

interface = gr.Interface.load("huggingface/BrendaniSpeech/bert-finetuned-20220913_v1",
            description=description,
            examples=examples,
            flagging_callback=hf_writer
)

interface.launch()