def generate_mcqs(text, num_questions=1):
    input_text = f"generate question: {text}"
    print(input_text)
    input_ids = tokenizer.encode(input_text, return_tensors="pt", max_length=512, truncation=True)

    questions = []
    for _ in range(num_questions):
        output = model.generate(
            input_ids=input_ids,
            max_length=128,
            num_return_sequences=1,
            temperature=0.7
        )
        decoded = tokenizer.decode(output[0], skip_special_tokens=True)
        print(decoded)
        questions.append(decoded.strip())

    # Join all questions into one string for Gradio output
    return "\n".join(f"{i+1}. {q}" for i, q in enumerate(questions))