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Upload quizapp.py
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quizapp.py
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import os
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import streamlit as st
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from dotenv import load_dotenv
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from langchain.prompts import ChatPromptTemplate
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from langchain_openai import ChatOpenAI
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from langchain.schema import StrOutputParser
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from docx import Document
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import fitz # PyMuPDF
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def extract_text_from_pdf_or_docx(file):
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"""Extract text from PDF or Word document."""
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filename = file.name
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text = ""
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if filename.endswith('.pdf'):
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# Extract text from PDF
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with fitz.open(file) as doc:
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for page in doc:
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text += page.get_text()
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elif filename.endswith('.docx'):
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# Extract text from Word document
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doc = Document(file)
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for paragraph in doc.paragraphs:
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text += paragraph.text + "\n"
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else:
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text = "Unsupported file format. Please upload a PDF or Word document."
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return text
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def create_multiple_choice_prompt(num_questions, quiz_context, expertise):
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"""Create the prompt template for multiple-choice quiz."""
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template = f"""
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You are an expert in {expertise}. Generate a quiz with {num_questions} multiple-choice questions that are relevant to {expertise} based on the following content: {quiz_context}.
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The questions should be at the level of {expertise} and should challenge the knowledge of someone proficient in this field.
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The format of the quiz is as follows:
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- Multiple-choice:
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- Questions:
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1. <Question1>:
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a. Answer 1
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b. Answer 2
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c. Answer 3
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d. Answer 4
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2. <Question2>:
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a. Answer 1
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b. Answer 2
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c. Answer 3
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d. Answer 4
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....
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- Answers:
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1. <a|b|c|d>
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2. <a|b|c|d>
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....
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+
Example:
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- Questions:
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1. What is the time complexity of a binary search tree?
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a. O(n)
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b. O(log n)
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c. O(n^2)
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d. O(1)
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- Answers:
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1. b
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"""
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return template
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def create_true_false_prompt(num_questions, quiz_context, expertise):
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"""Create the prompt template for true-false quiz."""
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template = f"""
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You are an expert in {expertise}. Generate a quiz with {num_questions} true-false questions that are relevant to {expertise} based on the following content: {quiz_context}.
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The questions should be at the level of {expertise} and should challenge the knowledge of someone proficient in this field.
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The format of the quiz is as follows:
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- True-false:
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- Questions:
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1. <Question1>: <True|False>
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2. <Question2>: <True|False>
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.....
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- Answers:
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1. <True|False>
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2. <True|False>
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.....
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Example:
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- Questions:
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1. A binary search tree is a type of data structure.
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2. Binary search trees are typically used for sorting and searching operations.
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- Answers:
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1. True
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2. True
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"""
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return template
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def create_open_ended_prompt(num_questions, quiz_context, expertise):
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"""Create the prompt template for open-ended quiz."""
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template = f"""
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You are an expert in {expertise}. Generate a quiz with {num_questions} open-ended questions that are relevant to {expertise} based on the following content: {quiz_context}.
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The questions should be at the level of {expertise} and should challenge the knowledge of someone proficient in this field.
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The format of the quiz is as follows:
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- Open-ended:
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- Questions:
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1. <Question1>
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2. <Question2>
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....
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Example:
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- Questions:
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1. What is a binary search tree?
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2. How are binary search trees implemented?
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"""
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return template
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def create_fill_in_the_blank_prompt(num_questions, quiz_context, expertise):
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"""Create the prompt template for fill-in-the-blank quiz."""
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template = f"""
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You are an expert in {expertise}. Generate a quiz with {num_questions} fill-in-the-blank questions that are relevant to {expertise} based on the following content: {quiz_context}.
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The questions should be at the level of {expertise} and should challenge the knowledge of someone proficient in this field.
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The format of the quiz is as follows:
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- Fill-in-the-blank:
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- Questions:
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1. <Question1>: <Fill-in-the-blank>
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2. <Question2>: <Fill-in-the-blank>
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....
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Example:
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- Questions:
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1. A binary search tree is a ________ data structure.
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2. Binary search trees are implemented using ________.
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- Answers:
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1. hierarchical
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2. linked lists
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"""
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return template
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def create_mixed_questions_prompt(num_questions, quiz_context, expertise):
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"""Create the prompt template for a mix of all question types."""
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template = f"""
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You are an expert in {expertise}. Generate a quiz with {num_questions} questions that include a mix of multiple-choice, true-false, open-ended, and fill-in-the-blank questions relevant to {expertise} based on the following content: {quiz_context}.
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The questions should be at the level of {expertise} and should challenge the knowledge of someone proficient in this field.
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The format of the quiz is as follows:
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- Mixed Questions:
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- Questions:
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1. <Question1> (Multiple-choice):
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a. Answer 1
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b. Answer 2
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c. Answer 3
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d. Answer 4
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2. <Question2> (True/False):
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<Question2>: <True|False>
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3. <Question3> (Open-ended):
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<Question3>
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4. <Question4> (Fill-in-the-blank):
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<Question4>: <Fill-in-the-blank>
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....
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- Answers:
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1. <a|b|c|d>
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2. <True|False>
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3. <Open-ended Answer>
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4. <Fill-in-the-blank Answer>
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....
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Example:
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- Questions:
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1. What is the time complexity of a binary search tree? (Multiple-choice)
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+
a. O(n)
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b. O(log n)
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c. O(n^2)
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d. O(1)
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2. A binary search tree is a type of data structure. (True/False)
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True
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3. What is a binary search tree? (Open-ended)
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4. A binary search tree is a ________ data structure. (Fill-in-the-blank)
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- Answers:
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1. b
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2. True
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3. A binary search tree is a data structure used to store data in a sorted manner.
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4. hierarchical
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"""
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return template
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def create_quiz_chain(openai_api_key):
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"""Creates the chain for the quiz app."""
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llm = ChatOpenAI(temperature=0.0, openai_api_key=openai_api_key)
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return llm | StrOutputParser()
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def split_questions_answers(quiz_response):
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"""Function that splits the questions and answers from the quiz response."""
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if "Answers:" in quiz_response:
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questions = quiz_response.split("Answers:")[0]
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answers = quiz_response.split("Answers:")[1]
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else:
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questions = quiz_response
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answers = "Answers section not found in the response."
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return questions, answers
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def main():
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st.title("QuesPro")
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st.write("This app generates questions based on the uploaded document.")
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load_dotenv()
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openai_api_key = os.getenv("OPENAI_API_KEY")
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uploaded_file = st.file_uploader("Upload a PDF or Word document")
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if uploaded_file is not None:
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text = extract_text_from_pdf_or_docx(uploaded_file)
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num_questions = st.number_input("Enter the number of questions", min_value=1, max_value=10, value=3)
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quiz_type = st.selectbox("Select the quiz type", ["multiple-choice", "true-false", "open-ended", "fill-in-the-blank", "mixed"])
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expertise = st.text_input("Enter the field of expertise for the quiz")
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if st.button("Generate Questions"):
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if quiz_type == "multiple-choice":
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prompt_template = create_multiple_choice_prompt(num_questions, text, expertise)
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elif quiz_type == "true-false":
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prompt_template = create_true_false_prompt(num_questions, text, expertise)
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elif quiz_type == "open-ended":
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prompt_template = create_open_ended_prompt(num_questions, text, expertise)
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elif quiz_type == "fill-in-the-blank":
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prompt_template = create_fill_in_the_blank_prompt(num_questions, text, expertise)
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else: # mixed
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prompt_template = create_mixed_questions_prompt(num_questions, text, expertise)
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chain = create_quiz_chain(openai_api_key)
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quiz_response = chain.invoke(prompt_template)
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st.write("Quiz Generated!")
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questions, answers = split_questions_answers(quiz_response)
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st.session_state.answers = answers
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st.session_state.questions = questions
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st.write(questions)
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if st.button("Show Answers"):
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st.markdown(st.session_state.questions)
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st.write("----")
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st.markdown(st.session_state.answers)
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if __name__ == "__main__":
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main()
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