cleanup

pages/llm_tutor.py

@@ -51,7 +51,8 @@ with st.sidebar:
     st.session_state.chat_title = f'ChatSession-{st.session_state.chat_id}'
     
 
-st.write('# Chat with LSAT Tutor')
+st.set_page_config(page_title="LSAT Group A", page_icon="📘")
+st.title("📘Logical Reasoning: Group A")
 next_btn = st.button("Click here when finished")
 
 st.write("Use this AI Tutor to help you understand the concepts. You can ask it to explain the concepts, provide examples, or clarify any doubts you have.")
@@ -68,7 +69,6 @@ try:
 except:
     st.session_state.messages = []
     st.session_state.gemini_history = []
-    print('new_cache made')
 
 sys_prompt = system_instruction % (
     st.session_state.prequiz_df['num_correct'][0],

pages/textbook.py

@@ -1,65 +1,12 @@
-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
+from utils.misc import end_session, display_pre_quiz
 
-st.set_page_config(page_title="LSAT Control - Textbook Tutor", page_icon="📘")
-st.title("📘 LSAT Logical Reasoning - Textbook Learning (Control)")
+st.set_page_config(page_title="LSAT Group B", page_icon="📘")
+st.title("📘Logical Reasoning: Group B")
 
-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 = []
+display_pre_quiz()
 
 choices = ["A", "B", "C", "D", "E"]
 
@@ -74,24 +21,15 @@ st.markdown(concept_excerpts[topic])
 st.subheader("Practice Question")
 q = example_excerpts[topic]
 st.write(q[0])
-# for i, choice in enumerate(choices):
-#     st.write(f"{i}). {choice}")
+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',
-)
 
-next_page = st.button("Done")
+next_page = st.button("Click here to end session")
 
 if next_page:
     st.switch_page("pages/postquiz.py")

utils/conceptexcerpts.py

@@ -1,5 +1,5 @@
 Assumption = """
-Question Type: Assumption
+
 Assumption questions ask you to identify the missing link in the logic of the stimulus
 argument.
 Some example question stems are
@@ -33,7 +33,7 @@ was irrelevant to the strength of the structure.
 
 
 Weaken_Strengthen = """
-Question Type: Weaken/Strengthen
+
 You will have to attack a significant number of weaken and strengthen questions in
 order to end up with a respectable LSAT score. This question type also sometimes
 appears in the Reading Comprehension section of the exam. Since the LSAT is set up to
@@ -83,7 +83,6 @@ argument.
 """
 Conclusion = """
 
-Question Type: Conclusion
 These questions ask you to draw a conclusion from evidence presented within the stimulus.
 In some cases, the conclusion that you are asked to draw is based on only part of
 the stimulus and will not necessarily be the main idea of the stimulus paragraph. Some
@@ -110,7 +109,6 @@ Look for the logical end of the chain of reasoning started in the stimulus argum
 """
 Method_of_Argument = """
 
-Question Type: Method of Argument
 Method of argument questions ask you to recognize the way that the argument is put
 together. You must choose the answer that properly describes the structure of the stimulus
 argument. Some, but certainly not all, method of argument questions are based on
@@ -136,7 +134,6 @@ that you can recognize the argument amidst the tricky language.
 """
 Principle = """
 
-Question Type: Principle
 These questions ask you to identify a rule, or principle, that supports the stimulus argument
 presented. In some cases, you are required to choose an argument that conforms
 to the stimulus principle.
@@ -159,7 +156,6 @@ content.
 """
 Point_of_Contention = """
 
-Question Type: Point of Contention
 These questions always involve a dialogue between two people who disagree about
 something. You are expected to choose the answer that best describes the crux of the
 disagreement.
@@ -181,7 +177,6 @@ correct answer.
 """
 Role_of_Fact = """
 
-Question Type: Role of Fact
 Some of the questions ask about the role, or function, of a specific fact that is included
 in the stimulus argument.
 
@@ -202,7 +197,6 @@ too narrow or too broad, or beyond the scope of the stimulus argument.
 """
 Flaw = """
 
-Question Type: Flaw
 These questions ask you to identify an error of reasoning in the stimulus argument.
 Some sample question stems are
 1. Which one of the following, if true, identifies a flaw in the plan for the program?
@@ -224,7 +218,6 @@ taking something for granted that is not necessarily true.
 """
 Paradox = """
 
-Question Type: Paradox
 A paradox arises when you are presented with two statements that are both true, yet
 they appear to be mutually contradictory. The key words to help you spot paradox question
 stems are “explain” and “reconcile.”
@@ -249,7 +242,6 @@ unsound” is poorly defined.
 """
 Parallel_Structure = """
 
-Question Type: Parallel Structure
 These questions ask you to match up two arguments that share structural characteristics.
 There are usually two parallel structure questions in each Logical Reasoning section. They
 are usually in the second half of the section, and they can usually be recognized by their

utils/exampleexcerpts.py

@@ -1,6 +1,5 @@
 Assumption_q = f"""
 
-Sample Assumption Question \n
 Consider the following example: \n
 1. The birth rate in Country X is down this year by 12% compared to last year. The
 death rate in Country X has remained stable for several years. Therefore, the
@@ -47,7 +46,7 @@ must be correct.
 """
 
 Weaken_Strengthen_q = """
-Sample Weaken/Strengthen Questions \n
+
 Consider the following example: \n
 1. More and more computer software that is capable of correcting not just spelling,
 but also grammar and punctuation is being developed. Therefore, it is increasingly
@@ -80,7 +79,7 @@ likely to be true. \n
 """
 
 Conclusion_q = """
-Sample Conclusion Question \n
+
 Consider the following example: \n
 1. Physician: The continued use of this drug to treat patients with a certain disease
 cannot be adequately supported by the proposition that any drug that treats the
@@ -110,7 +109,7 @@ the drug should be considered when deciding whether to use the drug.
 """
 
 Method_of_Argument_q = """
-Sample Method of Argument Question \n
+
 Consider the following example: \n
 1. It is widely accepted that eating sugar can cause weight gain. Indeed, many people
 who are susceptible to weight gain report that, in their own experience, eating
@@ -140,7 +139,7 @@ consumption are, in fact, caused by stress. \n
 """
 
 Principle_q = """
-Sample Principle Question \n
+
 Consider the following example: \n
 1. The best way to create a successful party is to visualize the guests discussing it with
 friends the next day. The hostess should first decide what aspects of the party will
@@ -173,7 +172,7 @@ rather than backward. \n
 """
 
 Point_of_Contention_q = """
-Sample Point of Contention Question \n
+
 Consider the following example: \n
 1. Jason: The Internet is making more information available to more people than
 ever before in history. So, people can simply learn all they need to know without
@@ -198,7 +197,7 @@ direct public access to information. Mark thinks that the opposite will occur.
 """
 
 Role_of_Fact_q = """
-Sample Role of Fact Question \n
+
 Consider the following example: \n
 1. Some environmentalists have argued that there are two independently sufficient
 justifications for recycling waste materials: one based on economics and the other
@@ -228,7 +227,7 @@ to shore up the reasons given by environmentalists. \n
 """
 
 Flaw_q = """
-Sample Flaw Question \n
+
 Consider the following example: \n
 1. Giant Motors is attempting to dominate the automobile market by promoting its
 products with an expensive television advertising campaign. But, the results of recent
@@ -257,7 +256,7 @@ market. Each of the other answer choices describes an error in reasoning that is
 to the stimulus argument. \n
 """
 Paradox_q = """
-Sample Paradox Question \n
+
 Consider the following example: \n
 1. Researchers concur with one another on the issue of the harm that can result when
 children are exposed to microscopic asbestos fibers. The resulting disease, asbestosis,
@@ -295,7 +294,7 @@ seemingly logical inconsistency inherent in the researchers’ positions. \n
 """
 
 Parallel_Structure_q = """
-Sample Parallel Structure Question \n
+
 Consider the following example: \n
 1. Murcheson’s drawing of the Lincoln Monument contains several inaccuracies.
 Therefore, your attempt to reproduce the drawing of the monument will not be a

utils/questions_dataset.py

@@ -62,8 +62,10 @@ system_instruction = """You are an AI tutor that teaches users LSAT Logical Reas
   Role Play: (%d/%d)
   Strengthen: (%d/%d)
   Weaken the argument: (%d/%d)
-  Based on this, classify them as Beginner / Intermediate / Advanced. Walk through the student on all topics, but focus on the ones they struggle with.
+  Based on this, classify them as Beginner / Intermediate / Advanced. 
+  Walk through the student on all topics, but focus on the ones they struggle with.
   Question the user to ensure that they understand the material.
-  Use practice questions from the tool to ensure they understand the material.
+  Use practice questions from the tool to ensure they understand the material.  
+  If no practice questions are found in the tool for a certain subtopic, find general practice questions on that subtopic.
   Never give a one word answer. Always keep the conversation moving.
   Once the user has studied all the topics, prompt them to press the next button. """