Update app.py

app.py

@@ -1,3 +1,4 @@
+import pandas as pd
 import streamlit as st
 from transformers import pipeline
 from inference import inference
@@ -6,7 +7,19 @@ from inference import DebertaEvaluator
 pipe = pipeline('sentiment-analysis')
 text = st.text_area('enter some text: ')
 
-if text:
-    #out = pipe(text)
-    out = inference(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"):
+    out = inference(user_input)
+    scores_df = pd.DataFrame([scores], index=['Score'])
+    st.table(scored_df)
     st.write(out)