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| import streamlit as st | |
| import openai | |
| # Set your OpenAI API key from Hugging Face Secrets | |
| openai.api_key = st.secrets["OPENAI_API_KEY"] | |
| # Initialize OpenAI client | |
| client = openai.OpenAI(api_key=openai.api_key) | |
| # Function to generate exam questions using OpenAI API | |
| def generate_questions(knowledge_material, question_type, cognitive_level): | |
| prompt = f"Generate {question_type.lower()} exam questions based on {cognitive_level.lower()} level from the following material: {knowledge_material}" | |
| response = client.chat.completions.create( | |
| model="gpt-4o-mini", # You can use "gpt-4" if available | |
| messages=[ | |
| {"role": "system", "content": "You are a helpful assistant for generating exam questions."}, | |
| {"role": "user", "content": prompt} | |
| ] | |
| ) | |
| return response.choices[0].message.content | |
| # Login page | |
| if 'username' not in st.session_state: | |
| # Show the login form if the username is not set | |
| st.title("Login") | |
| username_input = st.text_input("Enter your username:") | |
| if st.button("Login"): | |
| if username_input: | |
| st.session_state['username'] = username_input | |
| st.success(f"Welcome, {username_input}!") | |
| else: | |
| st.warning("Please enter a valid username.") | |
| else: | |
| # Main App after login | |
| st.title(f"Welcome, {st.session_state['username']}! Generate your exam questions") | |
| # Input field for knowledge material (text) | |
| knowledge_material = st.text_area("Enter knowledge material to generate exam questions:") | |
| # File uploader for PDFs (Optional: Only if you want to implement PDF input later) | |
| uploaded_file = st.file_uploader("Upload a file (PDF)", type="pdf") | |
| # Select question type | |
| question_type = st.selectbox("Select question type:", | |
| ["Multiple Choice", "Fill in the Blank", "Open-ended"]) | |
| # Select cognitive level | |
| cognitive_level = st.selectbox("Select cognitive level:", | |
| ["Recall", "Understanding", "Application", "Analysis", "Synthesis", "Evaluation"]) | |
| # Generate questions button | |
| if st.button("Generate Questions"): | |
| if knowledge_material: | |
| # Generate questions using the OpenAI API | |
| questions = generate_questions(knowledge_material, question_type, cognitive_level) | |
| # Display the generated questions | |
| st.write("Generated Exam Questions:") | |
| st.write(questions) | |
| # Option to download the questions as a text file | |
| st.download_button( | |
| label="Download Questions", | |
| data=questions, | |
| file_name='generated_questions.txt', | |
| mime='text/plain' | |
| ) | |
| else: | |
| st.warning("Please enter the knowledge material.") | |