app.py

import gradio as gr
import pickle
import pandas as pd

file = open("https://github.com/lorenzoscottb/PLANE/blob/main/supervised_learning/OoD/OOV_Train_2.pkl","rb")
data = pickle.load(file)


description = "Did you know that, logically speaking, a small cat is not a small animal, and that a fake smile is not a smile. \n Learn more testing our BERT model is tuned to perform phrase-level adjective-noun entailment, via the [PLANE](https://aclanthology.org/2022.coling-1.359/) dataset. \n The current model achieves an accuracy of 90% on out-of-distribution evaluation"
title = "BERT on a PLANE"
examples = [["A red car is a vehicle"], ["A fake smile is a smile"], ["A small cat is a small animal"]]

interface = gr.Interface.load("huggingface/lorenzoscottb/bert-base-cased-PLANE-ood-2",
            description=description,
            examples=examples,
            title=title,
)

interface.launch()