import pandas as pd
import streamlit as st
from transformers import pipeline
from inference import inference
from inference import DebertaEvaluator

pipe = pipeline('sentiment-analysis')
text = st.text_area('enter some text: ')

st.title("Essay Scoring")

categories=['cohesion', 'syntax', 'vocabulary', 'phraseology', 'grammar', 'conventions']

initial_scores = {category: '-' for category in categories}
scores_df = pd.DataFrame(initial_scores, index=[0])

text = "Here is a sample essay."

user_input = st.text_area("Enter your essay here:", value=text)

if st.button("Calculate Scores"):
    scores = inference(user_input)
    scores_df = pd.DataFrame([scores], index=['Score'])
    st.table(scored_df)
    st.write(out)