app.py

import PyPDF2
import nltk
import random
import streamlit as st
from openai import OpenAI
from dotenv import load_dotenv
import os

# Download NLTK data (if not already downloaded)
nltk.download('punkt')

# load the environment variables into the python script
load_dotenv() 
# fetching the openai_api_key environment variable
openai_api_key = os.getenv('OPENAI_API_KEY')

def extract_text_from_pdf(pdf_file):
    pdf_reader = PyPDF2.PdfReader(pdf_file)
    text = ""
    for page_num in range(len(pdf_reader.pages)):
        text += pdf_reader.pages[page_num].extract_text()
    return text

def generate_mcqs_on_topic(text, topic, num_mcqs=5):
    # Tokenize the text into sentences
    sentences = nltk.sent_tokenize(text)

    # Randomly select sentences to create Questions
    selected_sentences = random.sample(sentences, min(num_mcqs, len(sentences)))

    mcqs = []
    for sentence in selected_sentences:
        # Use ChatGPT for interactive question generation
        chatgpt_question = generate_question_with_chatgpt(sentence, topic)
        mcqs.append(chatgpt_question)
    print(mcqs)
    return mcqs

def extract_options_and_correct_answer(api_response):
    if 'choices' in api_response:
        choices = api_response['choices']
        if isinstance(choices, list) and choices:  # Check if 'choices' is a non-empty list
            message = choices[0].get('message', {})
            content = message.get('content', "Unable to generate a question..")
            options = message.get('options', [])
            correct_answer = message.get('correct_answer', "Unknown")

            return content, options, correct_answer

    return "Unexpected API response format.", [], "Unknown"


def generate_question_with_chatgpt(context, topic):
    client = OpenAI()
    # Initializing the default value
    generated_question = {
        'content': "Unable to generate a question..",
        'options': [],  # assuming options is a list
        'correct_answer': "Unknown"
    }

    result = client.chat.completions.create(
        model="gpt-3.5-turbo",
        max_tokens=1024,
        temperature=0.7,
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": f"What is the question on {topic} for the following? {context}"},
        ]
    )

    print("API Response:", result)  # Print the API response for debugging

    # Modify the logic based on the actual structure of the 'result'
    if 'choices' in result:
        choices = result['choices']
        if isinstance(choices, list) and choices:
            choice = choices[0]
            if 'message' in choice and isinstance(choice['message'], dict):
                message = choice['message']
                content = message.get('content')

                if content:
                    options = message.get('options', [])
                    correct_answer = message.get('correct_answer', "Unknown")

                    generated_question['content'] = content
                    generated_question['options'] = options if isinstance(options, list) else []
                    generated_question['correct_answer'] = correct_answer

    return generated_question



def main(): 
    # Title of the Application
    st.header("🤖CB Quiz Generator🧠", divider='rainbow')
    st.subheader("☕CoffeeBeans☕")

    # User input 
    pdf_file = st.file_uploader("Upload PDF Document:", type=["pdf"])
    num_mcqs = st.number_input("Enter Number of MCQs to Generate:", min_value=1, step=1, value=5)
    topic = st.text_input("Enter the Topic in which the quiz has to be generated")

    # Button to trigger QUIZ generation
    if st.button("Generate Quiz"):
        if pdf_file:
            text = extract_text_from_pdf(pdf_file)
            mcqs = generate_mcqs_on_topic(text, topic, num_mcqs)

            # Display the generated Questions
            st.success(f"Generated {num_mcqs} Questions:")
            for i, generated_question in enumerate(mcqs, start=1):
                st.write(f"\nQuestion {i}: {generated_question['content']}")
                st.write(f"Options: {', '.join(generated_question['options'])}")
                st.write(f"Correct Answer: {generated_question['correct_answer']}")
        else:
            st.error("Please upload a PDF document.")

if __name__ == "__main__":
    main()