Update app.py

app.py

@@ -1,12 +1,8 @@
 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']
@@ -18,6 +14,9 @@ text = "Here is a sample essay."
 
 user_input = st.text_area("Enter your essay here:", value=text)
 
+# Display the initial scores table
+st.table(scores_df)
+
 if st.button("Calculate Scores"):
     scores = inference(user_input)
     scores_df = pd.DataFrame([scores], index=['Score'])