app.py

import streamlit as st
from transformers import pipeline

# Load the question generation model
qg_pipeline = pipeline("text2text-generation", model="iarfmoose/t5-base-question-generator")

st.title("AI-Powered Quiz Generator")
text = st.text_area("Enter a paragraph to generate quiz questions:")

if st.button("Generate Questions"):
    if text.strip() == "":
        st.warning("Please enter some text to generate questions.")
    else:
        with st.spinner("Generating questions..."):
            result = qg_pipeline(f"generate questions: {text}", max_length=512, do_sample=True, temperature=0.7)
            questions = result[0]['generated_text'].split("\n")
            st.subheader("Generated Questions:")
            for i, q in enumerate(questions):
                if q.strip():
                    st.markdown(f"**Q{i+1}: {q.strip()}**")