import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("jpelhaw/t5-word-sense-disambiguation")

model = AutoModelForSeq2SeqLM.from_pretrained("jpelhaw/t5-word-sense-disambiguation")

input = 'question: which description describes the word " java " best in the following context? descriptions:[  " A drink consisting of an infusion of ground coffee beans "," a platform-independent programming language ", or " an island in Indonesia to the south of Borneo " ] context: I like to drink " java " in the morning .'

example = tokenizer.tokenize(input, add_special_tokens=True)

answer = model.generate(input_ids=example['input_ids'], 
                                attention_mask=example['attention_mask'], 
                                max_length=135)