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import streamlit as st | |
import pandas as pd | |
import time | |
df = pd.read_csv("./LSATLR_questions.csv") | |
df['qid'] = df['qid'].astype(int) | |
prequiz_qs = df[df['qid'] < 0].sort_values(by='qid', ascending=False).reset_index(drop=True) | |
st.title("Pre-Quiz") | |
st.write("Results:") | |
def response_to_idx(response, row): | |
if response == row['A']: | |
return 0 | |
elif response == row['B']: | |
return 1 | |
elif response == row['C']: | |
return 2 | |
elif response == row['D']: | |
return 3 | |
elif response == row['E']: | |
return 4 | |
questions = [] | |
for index, row in prequiz_qs.iterrows(): | |
check_or_x = 'β ' if st.session_state.pre_quiz_correct[index] == 1 else 'β' | |
st.write(f"Question {index + 1}: {check_or_x}") | |
questions.append(st.radio( | |
row['Question'], | |
[row['A'], row['B'], row['C'], row['D'], row['E']], | |
key=f'prequiz{row["qid"]}', | |
index=response_to_idx(st.session_state.pre_quiz_answers[index], row), | |
disabled=True | |
)) | |
st.divider() | |
btn = st.button("Click here when finished") | |
if btn: | |
if st.session_state.group_id == "A": | |
st.session_state.tutor_start_time = time.time() | |
st.switch_page("pages/llm_tutor.py") | |
else: | |
st.session_state.textbook_start_time = time.time() | |
st.switch_page("pages/textbook.py") |