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Update app.py
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app.py
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import streamlit as st
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from function import GetLLMResponse
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# Page configuration
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st.set_page_config(page_title="Generate Math Quizzes",
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page_icon="🧮",
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import streamlit as st
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# from function import GetLLMResponse
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from langchain_community.llms import OpenAI
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from langchain_google_genai import ChatGoogleGenerativeAI
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def get_answers(questions,model):
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st.write("running get answers function answering following questions",questions)
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answer_prompt = ( "I want you to become a teacher answer this specific Question: {questions}. You should gave me a straightforward and consise explanation and answer to each one of them")
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if model == "Open AI":
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llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
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answers = llm(answer_prompt)
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# return questions
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elif model == "Gemini":
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llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"])
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answers = llm.invoke(answer_prompt)
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answers = answers.content
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# return questions.content
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return(answers)
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def GetLLMResponse(selected_topic_level, selected_topic,num_quizzes, model):
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question_prompt = ('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.')
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st.write("running get llm response and print question prompt",question_prompt)
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if model == "Open AI":
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llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
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questions = llm(question_prompt)
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elif model == "Gemini":
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llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"])
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questions = llm.invoke(question_prompt)
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questions = questions.content
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# return questions.content
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st.write("print questions",questions)
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answers = get_answers(questions,model)
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st.write(questions,answers)
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return(questions,answers)
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# Page configuration
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st.set_page_config(page_title="Generate Math Quizzes",
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page_icon="🧮",
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