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app.py
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import streamlit as st
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import google.generativeai as genai
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import random
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import re
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# Configure the Gemini API with your API key
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genai.configure(api_key='AIzaSyAjDT14MAn93D1xJMsBtHeaNThaFIYeLbs')
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# Initialize the generative model
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model = genai.GenerativeModel('gemini-pro')
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def generate_mcqs(context):
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prompt = f"""
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Based on the following context, generate 10 multiple-choice questions (MCQs).
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You can use data without the context too if needed, but all the topics within the context should be included.
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Generate valid MCQs too.
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Each MCQ should have 4 options with only one correct answer.
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Format each question exactly as follows:
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**Question X:** [Question text]
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A) [Option A]
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B) [Option B]
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C) [Option C]
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D) [Option D]
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Correct Answer: [A/B/C/D]
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Context:
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{context}
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"""
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try:
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response = model.generate_content(prompt)
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raw_text = response.text
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# Debug: Print raw response
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st.text("Raw API Response:")
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st.text(raw_text)
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# Parse the raw text into a structured format
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questions = re.split(r'\*\*Question \d+:\*\*', raw_text)[1:] # Split by question number
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mcqs = []
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for q in questions:
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try:
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# Extract question text
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question_text = q.split('A)')[0].strip()
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# Extract options
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options = re.findall(r'([A-D]\).*?)(?=[A-D]\)|Correct Answer:)', q, re.DOTALL)
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options = [opt.strip() for opt in options]
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# Extract correct answer
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correct_answer = re.search(r'Correct Answer:\s*([A-D])', q).group(1)
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if len(options) == 4 and correct_answer in ['A', 'B', 'C', 'D']:
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mcqs.append({
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"question": question_text,
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"options": options,
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"correct_answer": correct_answer
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})
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else:
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st.warning(f"Skipped question due to incorrect format: {q}")
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except Exception as e:
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st.warning(f"Skipped a malformed question: {str(e)}\nQuestion: {q}")
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if not mcqs:
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raise ValueError("No valid MCQs were generated")
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return mcqs
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except Exception as e:
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st.error(f"An error occurred while generating MCQs: {str(e)}")
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return None
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def main():
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st.title("MCQ Generator and Exam")
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# Input section
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st.header("Generate MCQs")
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context = st.text_area("Enter the context or data for generating MCQs:")
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if st.button("Generate MCQs"):
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if context:
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with st.spinner("Generating MCQs..."):
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mcqs = generate_mcqs(context)
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if mcqs:
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st.session_state.mcqs = mcqs
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st.success(f"Generated {len(mcqs)} MCQs successfully!")
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else:
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st.error("Failed to generate valid MCQs. Please try again with a different or more detailed context.")
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else:
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st.warning("Please enter some context to generate MCQs.")
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# Exam section
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st.header("Take Exam")
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if 'mcqs' in st.session_state and st.session_state.mcqs:
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user_answers = []
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for i, question in enumerate(st.session_state.mcqs):
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st.subheader(f"Question {i + 1}")
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st.write(question['question'])
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user_answer = st.radio("Select your answer:", question['options'], key=f"q{i}")
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user_answers.append(user_answer)
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if st.button("Submit Exam"):
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score = sum(1 for q, a in zip(st.session_state.mcqs, user_answers)
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if a == q['options'][ord(q['correct_answer']) - ord('A')])
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st.subheader("Exam Completed!")
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st.write(f"Your score: {score}/{len(st.session_state.mcqs)}")
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# Display correct answers
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st.subheader("Correct Answers:")
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for i, (question, user_answer) in enumerate(zip(st.session_state.mcqs, user_answers)):
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st.write(f"Q{i+1}: {question['question']}")
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st.write(f"Your answer: {user_answer}")
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correct_answer = question['options'][ord(question['correct_answer']) - ord('A')]
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st.write(f"Correct answer: {correct_answer}")
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st.write("---")
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else:
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st.info("Generate MCQs first to take the exam.")
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if __name__ == "__main__":
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main()
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