import streamlit as st
from transformers import pipeline

from transformers import AutoTokenizer, BertForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("AkshatSurolia/ICD-10-Code-Prediction")
model = BertForSequenceClassification.from_pretrained("AkshatSurolia/ICD-10-Code-Prediction")
config = model.config

pipe = pipeline('sentiment-analysis')
text = st.text_area('test')

if text:
    encoded_input = tokenizer(text, return_tensors='pt')
    output = model(**encoded_input)
    
    results = output.logits.detach().cpu().numpy()[0].argsort()[::-1][:5]
    vara= [ config.id2label[ids] for ids in results]
    st.write(vara)