import gradio as gr
from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline

description = "Named Entity Recognition Using BERT"
title = "NERBERT"
examples = [["Hey, Alex here from London!"], ["My name is Wolfgang and I live in Berlin"]]

def findNER(example):
  tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
  model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
  ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)
  return ner_pipeline(example)

interface = gr.Interface(fn=findNER, inputs='text', outputs='text', examples=examples, description=description, title=title)
interface.launch()