app.py

import streamlit as st
import openai

# Set your OpenAI API key using Streamlit secrets
openai.api_key = "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"

# Create an OpenAI client using the new API structure
client = openai.OpenAI(api_key=openai.api_key)

# Streamlit app
st.title("Exam Question Generator")

# Input field for user prompt
user_input = st.text_area("Enter knowledge material to generate exam questions:")

if st.button("Generate Questions"):
    if user_input:
        # Call OpenAI's Chat Completion API using the new structure
        response = client.chat.completions.create(
            model="gpt-3.5-turbo",  # Or use "gpt-4" if available
            messages=[
                {"role": "system", "content": "You are a helpful assistant for generating exam questions."},
                {"role": "user", "content": f"Generate exam questions from the following material: {user_input}"}
            ]
        )

        # Extract the response and display it correctly
        st.write("Generated Exam Questions:")
        st.write(response.choices[0].message.content)  # Access message content directly
    else:
        st.warning("Please enter the knowledge material.")