import streamlit as st import openai import time # 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 with retry logic def generate_questions_with_retry(knowledge_material, question_type, cognitive_level, extra_instructions, max_retries=3): # Adjust the number of questions based on the type if question_type == "Multiple Choice": num_questions = 3 elif question_type == "Fill in the Blank": num_questions = 10 else: # Open-ended num_questions = 3 prompt = f"Generate {num_questions} {question_type.lower()} exam questions based on {cognitive_level.lower()} level from the following material: {knowledge_material}. {extra_instructions}" if question_type != "Fill in the Blank": prompt += " Provide answers with short explanations." retries = 0 while retries < max_retries: try: response = client.chat.completions.create( model="gpt-4o-mini", messages=[ {"role": "system", "content": "You are a helpful assistant for generating exam questions."}, {"role": "user", "content": prompt} ] ) return response.choices[0].message.content except openai.error.APIConnectionError: retries += 1 time.sleep(2) # Wait for 2 seconds before retrying if retries == max_retries: st.error("Failed to connect to OpenAI API after several attempts.") return None # 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:") # Extra input field for additional instructions extra_instructions = st.text_area("Enter additional instructions (e.g., how you want the questions to be phrased):") # 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 'previous_questions' not in st.session_state: st.session_state['previous_questions'] = [] if st.button("Generate Questions"): if knowledge_material: # Generate questions with retry logic questions = generate_questions_with_retry(knowledge_material, question_type, cognitive_level, extra_instructions) if questions: st.write("Generated Exam Questions:") st.write(questions) # Avoid showing repeated content in future requests st.session_state['previous_questions'].append(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.") # Button to generate more questions based on the same material if st.button("Generate More Questions"): if knowledge_material: # Regenerate new questions, trying to avoid repeated content questions = generate_questions_with_retry(knowledge_material, question_type, cognitive_level, extra_instructions) # Check if the new set of questions is not the same as the previous set if questions and questions not in st.session_state['previous_questions']: st.write("Generated More Exam Questions:") st.write(questions) # Append the new questions to the session state st.session_state['previous_questions'].append(questions) # Option to download the new set of questions st.download_button( label="Download More Questions", data=questions, file_name='more_generated_questions.txt', mime='text/plain' ) else: st.warning("New questions seem to overlap with the previous ones. Try adjusting the instructions.")