import streamlit as st
from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TextClassificationPipeline

model_name =  "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
model = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer, return_all_scores=True)
text = st.text_area(f'Ciao! This app uses {model_name}.\nEnter your text  to test it ❤️')

if text:
  out = pipe(text)
  
  st.json(out[0][0])