import streamlit as st # from function import GetLLMResponse from langchain_community.llms import OpenAI from langchain_google_genai import ChatGoogleGenerativeAI def get_answers(questions,model): st.write("running get answers function answering following questions",questions) answer_prompt = (f"Answer the following questions {questions}") if model == "Open AI": llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"]) answers = llm(answer_prompt) # return questions elif model == "Gemini": llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"]) answers = llm.invoke(answer_prompt) answers = answers.content # return questions.content return(answers) def GetLLMResponse(selected_topic_level, selected_topic,num_quizzes, model): st.write("Selected option:", selected_topic_level,selected_topic,num_quizzes) question_prompt = (f'I want you to just generate question with this specification: Generate a {selected_topic_level} math quiz on the topic of {selected_topic}. Generate only {num_quizzes} questions not more and without providing answers.') st.write("running get llm response and print question prompt",question_prompt) if model == "Open AI": llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"]) questions = llm(question_prompt) elif model == "Gemini": llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"]) questions = llm.invoke(question_prompt) questions = questions.content # return questions.content st.write("print questions",questions) answers = get_answers(questions,model) # st.write(questions,answers) return(questions,answers) # 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') st.write("Selected option:", selected_topic_level,selected_topic,num_quizzes) # Final Response if submit: questions,answers = GetLLMResponse(selected_topic_level, selected_topic, num_quizzes, model) # st.write("printing the response",questions,answers) # with st.spinner("Generating Quizzes..."): # questions,answers = GetLLMResponse(selected_topic_level, selected_topic, num_quizzes, model) # st.success("Quizzes Generated!") # st.write("printing the response",questions,answers) # # # Display questions and answers in a table # # if response: # # st.subheader("Quiz Questions and Answers:") # # # Prepare data for the table # # # col1, col2 = st.columns(2) # # # with col1: # # # st.subheader("Questions") # # # questions = response # # # st.write(questions) # # # with col2: # # # st.subheader("Answers") # # # answers = response # # # st.write(answers) # # st.write("printing the response",questions,answers) # # else: # # st.warning("No Quiz Questions and Answers") else: st.warning("Click the 'Generate Quizzes' button to create quizzes.") if __name__ == "__main__": main()