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