update app.py

app.py

@@ -1,10 +1,12 @@
 import streamlit as st
 import pandas as pd
+from PIL import Image
 from transformers import pipeline
 pipe = pipeline('text-classification', model='tiedaar/short-answer-classification')
+student_answer = False
 
 subsections = pd.read_csv('subsections.csv')
-st.markdown("![headerphoto]('./learlabaialoe.JPG')")
+st.image(Image.open('learlabaialoe.JPG'))
 st.title('Short Answer Scoring Demo')
 st.write('This is a demonstration of the iTELL short answer scoring model.')
 st.write('You will be provided with a random passage from a book on Macroeconomics and a question.')