import gradio as gr
import transformers

from transformers import AutoModelForSequenceClassification, AutoTokenizer
from transformers import pipeline

model = AutoModelForSequenceClassification.from_pretrained('mrcoombes/distilbert-wikipedia-pokemon')
tokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased')

classifier = pipeline('text-classification', model = model, tokenizer=tokenizer, return_all_scores=True)

clf = lambda x: sorted(classifier(x)[0], key=lambda y: y['score'], reverse=True)

demo = gr.Interface(fn=clf, inputs="text", outputs="text")

demo.launch()