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import time
import os
import joblib
import streamlit as st
from utils.conceptexcerpts import concept_excerpts
from utils.exampleexcerpts import example_excerpts
from google import genai
st.set_page_config(page_title="LSAT Control - Textbook Tutor", page_icon="📘")
st.title("📘 LSAT Logical Reasoning - Textbook Learning (Control)")
new_chat_id = f'{time.time()}'
MODEL_ROLE = 'ai'
AI_AVATAR_ICON = '✨'
# Create a data/ folder if it doesn't already exist
try:
os.mkdir('data/groupa')
except:
# data/ folder already exists
pass
# Load past chats (if available)
try:
past_chats: dict = joblib.load('data/past_chats_list')
except:
past_chats = {}
# Sidebar allows a list of past chats
with st.sidebar:
st.write('# Past Chats')
if st.session_state.get('chat_id') is None:
st.session_state.chat_id = st.selectbox(
label='Pick a past chat',
options=[new_chat_id] + list(past_chats.keys()),
format_func=lambda x: past_chats.get(x, 'New Chat'),
placeholder='_',
)
else:
# This will happen the first time AI response comes in
st.session_state.chat_id = st.selectbox(
label='Pick a past chat',
options=[new_chat_id, st.session_state.chat_id] + list(past_chats.keys()),
index=1,
format_func=lambda x: past_chats.get(x, 'New Chat' if x != st.session_state.chat_id else st.session_state.chat_title),
placeholder='_',
)
# Save new chats after a message has been sent to AI
st.session_state.chat_title = f'ChatSession-{st.session_state.chat_id}'
# Chat history (allows to ask multiple questions)
try:
st.session_state.messages = joblib.load(
f'data/{st.session_state.chat_id}-st_messages'
)
st.session_state.gemini_history = joblib.load(
f'data/{st.session_state.chat_id}-gemini_messages'
)
except:
st.session_state.messages = []
st.session_state.gemini_history = []
choices = ["A", "B", "C", "D", "E"]
# Dropdown to select topic
topic = st.selectbox("Choose a topic to review:", list(concept_excerpts.keys()))
# Display Concept
st.subheader("Concept Overview")
st.markdown(concept_excerpts[topic])
# Display Question
st.subheader("Practice Question")
q = example_excerpts[topic]
st.write(q[0])
for i, choice in enumerate(choices):
st.write(f"{i}). {choice}")
# Show answer
if st.checkbox("Show Answer"):
st.success(f"Correct Answer: {q[1]}")
# Save to file
joblib.dump(
st.session_state.messages,
f'data/{st.session_state.chat_id}-st_messages',
)
joblib.dump(
st.session_state.gemini_history,
f'data/{st.session_state.chat_id}-gemini_messages',
)
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