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import streamlit as st
import pandas as pd
import time
import altair as alt
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 display_pre_quiz():
source = st.session_state.prequiz_df
if source is not None and len(source) > 0:
st.write("Pre-Quiz Results: \n")
source["Performance"] = source["num_correct"] / source["num_questions"] * 100
source = source.sort_values(by='Performance', ascending=False)
c = alt.Chart(source).mark_bar().encode(y=alt.Y("Subtopic", sort=None), x=alt.X(
"Performance",
scale=alt.Scale(domain=[0, 100]),
axis=alt.Axis(values=[0, 25, 50, 75, 100], title="Performance (%)")
))
st.altair_chart(c,use_container_width=True)
display_pre_quiz()
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 = '✅' if st.session_state.pre_quiz_correct[index] == 1 else '❌'
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") |