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| import os | |
| from dotenv import load_dotenv | |
| from groq import Groq | |
| import streamlit as st | |
| # Load environment variables | |
| load_dotenv() | |
| # Initialize the Groq client with API key | |
| client = Groq(api_key=os.getenv("GROQ_API_KEY")) | |
| # Function to generate MCQs from the user text | |
| def generate_mcqs_from_text(user_text): | |
| prompt = f""" | |
| You are a 35-year experienced educator specializing in crafting challenging and insightful MCQs. | |
| Based on the following text, generate between 30 to 50 multiple-choice questions (MCQs). | |
| Each question should: | |
| 1. Test critical thinking and understanding of the content. | |
| 2. Include four options (A, B, C, D). | |
| 3. Format the output as follows: | |
| Question: [Your question here] | |
| A. [Option 1] | |
| B. [Option 2] | |
| C. [Option 3] | |
| D. [Option 4] | |
| Additionally, provide the correct answers in a separate section titled "Correct Answers" in the format: | |
| Question 1: [Correct Option] | |
| Question 2: [Correct Option], etc. | |
| Text: {user_text} | |
| """ | |
| chat_completion = client.chat.completions.create( | |
| messages=[{"role": "user", "content": prompt}], | |
| model="gemma2-9b-it", # Replace with a valid Groq model | |
| ) | |
| return chat_completion.choices[0].message.content | |
| # Function to evaluate user's answers | |
| def evaluate_answers(mcqs, correct_answers, user_answers): | |
| prompt = f""" | |
| You are a 35-year experienced teacher evaluating a student's answers to the following MCQs. | |
| For each question, provide detailed feedback on whether the student's answer is correct or incorrect, | |
| and explain the reasoning. | |
| MCQs: {mcqs} | |
| Correct Answers: {correct_answers} | |
| User Answers: {user_answers} | |
| """ | |
| chat_completion = client.chat.completions.create( | |
| messages=[{"role": "user", "content": prompt}], | |
| model="gemma2-9b-it", # Replace with a valid Groq model | |
| ) | |
| return chat_completion.choices[0].message.content | |
| # Streamlit app | |
| st.title("Experienced Teacher's MCQ Generator and Evaluator") | |
| st.sidebar.title("MCQ Generator & Evaluator") | |
| # User input for text data | |
| user_text = st.sidebar.text_area("Enter the text for generating MCQs:") | |
| if "mcqs" not in st.session_state: | |
| st.session_state["mcqs"] = None | |
| if "correct_answers" not in st.session_state: | |
| st.session_state["correct_answers"] = None | |
| # Generate MCQs | |
| if st.sidebar.button("Generate MCQs"): | |
| if user_text.strip(): | |
| with st.spinner("Generating MCQs..."): | |
| mcqs_and_answers = generate_mcqs_from_text(user_text) | |
| # Debugging the response | |
| st.write("Raw Response from API:") | |
| st.text(mcqs_and_answers) | |
| # Try to split into MCQs and answers | |
| try: | |
| mcqs, correct_answers = mcqs_and_answers.split("Correct Answers:") | |
| st.session_state["mcqs"] = mcqs.strip() | |
| st.session_state["correct_answers"] = correct_answers.strip() | |
| st.success("MCQs generated successfully!") | |
| except ValueError: | |
| st.error( | |
| "The API response is not in the expected format. Please check the output or adjust the prompt." | |
| ) | |
| st.text(mcqs_and_answers) # Show full response for debugging | |
| else: | |
| st.error("Please enter text for generating MCQs.") | |
| # Display generated MCQs | |
| if st.session_state["mcqs"]: | |
| st.subheader("Generated MCQs") | |
| st.text(st.session_state["mcqs"]) | |
| # User input for their answers | |
| user_answers = st.text_area( | |
| "Enter your answers for the MCQs (e.g., A, B, C, D for each question):" | |
| ) | |
| # Evaluate answers | |
| if st.button("Evaluate Answers"): | |
| if st.session_state["mcqs"] and st.session_state["correct_answers"]: | |
| with st.spinner("Evaluating answers..."): | |
| evaluation_result = evaluate_answers( | |
| st.session_state["mcqs"], st.session_state["correct_answers"], user_answers | |
| ) | |
| st.subheader("Evaluation Result") | |
| st.text(evaluation_result) | |
| else: | |
| st.error("Please generate MCQs first!") | |