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bf10291 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 | import streamlit as st
import os
import json
import pandas as pd
from langchain.chat_models import ChatOpenAI
from dotenv import load_dotenv
load_dotenv()
KEY=os.getenv("OPENAI_API_KEY")
llm=ChatOpenAI(openai_api_key=KEY,model_name="gpt-3.5-turbo", temperature=0.5)
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
from langchain.chains import SequentialChain
from langchain.callbacks import get_openai_callback
import PyPDF2
RESPONSE_JSON = {
"1": {
"mcq": "multiple choice question",
"options": {
"a": "choice here",
"b": "choice here",
"c": "choice here",
"d": "choice here",
},
"correct": "correct answer",
},
"2": {
"mcq": "multiple choice question",
"options": {
"a": "choice here",
"b": "choice here",
"c": "choice here",
"d": "choice here",
},
"correct": "correct answer",
},
"3": {
"mcq": "multiple choice question",
"options": {
"a": "choice here",
"b": "choice here",
"c": "choice here",
"d": "choice here",
},
"correct": "correct answer",
},
}
TEMPLATE="""
Text:{text}
You are an expert MCQ maker. Given the above text, it is your job to \
create a quiz of {number} multiple choice questions for {subject} students in {tone} tone.
Make sure the questions are not repeated and check all the questions to be conforming the text as well.
Make sure to format your response like RESPONSE_JSON below and use it as a guide. \
Ensure to make {number} MCQs
### RESPONSE_JSON
{response_json}
"""
TEMPLATE2="""
You are an expert english grammarian and writer. Given a Multiple Choice Quiz for {subject} students.\
You need to evaluate the complexity of the question and give a complete analysis of the quiz. Only use at max 50 words for complexity analysis.
if the quiz is not at per with the cognitive and analytical abilities of the students,\
update the quiz questions which needs to be changed and change the tone such that it perfectly fits the student abilities
Quiz_MCQs:
{quiz}
Check from an expert English Writer of the above quiz:
"""
# Define functions for quiz generation and evaluation
def generate_quiz(text, number, subject, tone, response_json):
quiz_generation_prompt = PromptTemplate(
input_variables=["text", "number", "subject", "tone", "response_json"],
template=TEMPLATE
)
quiz_chain = LLMChain(llm=llm, prompt=quiz_generation_prompt, output_key="quiz", verbose=True)
response = quiz_chain(
{
"text": text,
"number": number,
"subject": subject,
"tone": tone,
"response_json": response_json
}
)
return response["quiz"]
def evaluate_quiz(subject, quiz):
quiz_evaluation_prompt = PromptTemplate(input_variables=["subject", "quiz"], template=TEMPLATE2)
review_chain = LLMChain(llm=llm, prompt=quiz_evaluation_prompt, output_key="review", verbose=True)
response = review_chain(
{
"subject": subject,
"quiz": quiz
}
)
return response["review"]
# Streamlit app
st.title("MCQ Generator and Evaluator")
# File upload
uploaded_file = st.file_uploader("Upload your file", type=["txt"])
if uploaded_file is not None:
text = uploaded_file.read().decode("utf-8")
else:
text = ""
# User inputs
subject = st.text_input("Enter the subject:")
number = st.number_input("Enter the total number of MCQs:", min_value=1, value=5, step=1)
tone = st.selectbox("Select the tone:", ["simple", "formal", "casual"])
# Generate quiz
if st.button("Generate MCQs"):
response_json = json.dumps(RESPONSE_JSON)
quiz = generate_quiz(text, number, subject, tone, response_json)
quiz = json.loads(quiz)
# Display generated MCQs
st.subheader("Generated MCQs:")
for key, value in quiz.items():
st.write(f"**{value['mcq']}**")
for option, option_value in value["options"].items():
st.write(f"{option}: {option_value}")
st.write(f"Correct: {value['correct']}")
st.write("")
# Evaluate quiz
st.subheader("Quiz Evaluation:")
review = evaluate_quiz(subject, quiz)
st.write(review)
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