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import streamlit as st
from function import GetLLMResponse
from langchain_community.llms import OpenAI
from langchain_google_genai import ChatGoogleGenerativeAI
# Page configuration
st.set_page_config(page_title="Generate Math Quizzes",
page_icon="🧮",
layout="wide",
initial_sidebar_state="collapsed")
def main():
math_topics = {
"Elementary School Level": ["Basic Arithmetic", "Place Value", "Fraction", "Decimals", "Geomerty"],
"Middle School Level": ["Algebra", "Ratio and Proportion", "Percentages", "Geometry", "Integers and Rational Numbers"],
"High School Level": ["Algebra II", "Trigonometry", "Pre-Calculus", "Calculus", "Statistics and Probability"]
}
st.header("Select AI:")
model = st.radio("Model", [ "Gemini","Open AI",])
st.write("Selected option:", model)
# Header and description
st.title("Generate Math Quizzes 🧮")
st.text("Choose the difficulty level and topic for your math quizzes.")
# User input for quiz generation
## Layout in columns
col1, col2, col3 = st.columns([1, 1, 1])
with col1:
selected_topic_level = st.selectbox('Select Topic Level', list(math_topics.keys()))
with col2:
selected_topic = st.selectbox('Select Topic', math_topics[selected_topic_level])
with col3:
num_quizzes = st.slider('Number Quizzes', min_value=1, max_value= 5, value=1)
submit = st.button('Generate Quizzes')
# Final Response
if submit:
questions,answers = GetLLMResponse(selected_topic_level, selected_topic, num_quizzes, model)
with st.spinner("Generating Quizzes..."):
questions,answers = GetLLMResponse(selected_topic_level, selected_topic, num_quizzes, model)
st.success("Quizzes Generated!")
# Display questions and answers in a table
if questions:
st.subheader("Quiz Questions and Answers:")
# Prepare data for the table
col1, col2 = st.columns(2)
with col1:
st.subheader("Questions")
st.write(questions)
with col2:
st.subheader("Answers")
st.write(answers)
else:
st.warning("No Quiz Questions and Answers")
else:
st.warning("Click the 'Generate Quizzes' button to create quizzes.")
if __name__ == "__main__":
main() |