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| import os | |
| import openai | |
| import streamlit as st | |
| # Get API key from environment variable | |
| api_key = os.environ.get("API_KEY") | |
| if api_key is None: | |
| raise ValueError("API_KEY environment variable not set") | |
| # Set API key for OpenAI | |
| openai.api_key = api_key | |
| st.title("IEP Assist Premium") | |
| # Add a sidebar with instructions | |
| st.sidebar.title("Instructions") | |
| st.sidebar.write("1. Select the student's grade level.") | |
| st.sidebar.write("2. Select the student's qualifying condition(s).") | |
| st.sidebar.write("3. Choose a prompt based to communicate with the AI how you want your data analyzed.") | |
| st.sidebar.write("4. Enter your student data.") | |
| st.sidebar.write("5. Click the 'Analyze Student Data' button to generate a summary of your data.") | |
| st.sidebar.write("") | |
| st.sidebar.write("") | |
| st.sidebar.write("Note: This app uses OpenAI's GPT-3 API to generate the PLAAFP statement. Please enter data that is relevant and appropriate for generating the statement.") | |
| # Add a horizontal line for separation | |
| st.write("---") | |
| # Select the student's grade level | |
| st.write("Select the student's grade level:") | |
| grade_level = st.selectbox("Grade:", ["Pre-K", "K", "1st", "2nd", "3rd", "4th", "5th", "6th", "7th", "8th", "9th", "10th", "11th", "12th"], key="grade-level") | |
| # Select the student's qualifying condition | |
| st.write("Select the student's qualifying condition(s):") | |
| qualifying_condition = st.multiselect("Qualifying Condition(s):", ["Specific Learning Disability", "Emotional Disturbance", "Autism", "Intellectual Disability", "Speech/Language Impairment", "Other Health Impairment", "Orthopedic Impairment", "Auditory Impairment", "Traumatic Brain Injury", "Deafness", "Blindness", "Developmental Delay"], key="qualifying-condition") | |
| # Choose a prompt | |
| st.write("Choose a prompt:(This tells the AI how you want your data analyzed)") | |
| prompts = [ "Analyze the data provided on the student and provide a summary of their strengths and areas of need in regards to their academic performance.", | |
| "Provide a summary of the student's behavior data and suggest possible interventions to try based on their areas of need.", | |
| "Summarize the data provided on the student's academic performance, highlighting their strengths and areas of need, and suggesting possible interventions to try.", | |
| "Please provide a summary of the student's academic performance, highlighting their strengths and areas of need.", | |
| "What is the student's biggest strength and area of need in regards to their academic performance?", | |
| "Analyze the data provided on the student and provide a summary of their progress in regards to their IEP goals.", | |
| "Based on the student's academic performance data, what recommendations do you have for adjusting their instructional strategies?", | |
| "How can the student's strengths be leveraged to help them improve in areas of need?", | |
| "What barriers to academic success does the student face, and how can they be addressed?", | |
| "Analyze the student's behavior data to identify trends and suggest possible interventions.", | |
| "Provide a summary of the student's progress towards their academic and behavioral goals."] | |
| selected_prompt = st.selectbox("Prompt:", options=prompts, key="prompt") | |
| st.write("Enter student data to be analyzed:") | |
| student_data = st.text_area("Paste student data here", height=250, key="student-data") | |
| # Add a button to generate the PLAAFP statement | |
| if st.button("Analyze Student Data", key="analyze-button"): | |
| # Set OpenAI API key | |
| openai.api_key = api_key | |
| # Call the OpenAI API and generate a response | |
| response = openai.Completion.create( | |
| engine="text-davinci-003", | |
| prompt=f"{selected_prompt} {student_data} {grade_level} {qualifying_condition}", | |
| max_tokens=2000, | |
| n=1, | |
| stop=None, | |
| temperature=0.9, | |
| ) | |
| # Extract the generated statement from the API response | |
| statement = response["choices"][0]["text"] | |
| # Show the generated statement | |
| st.write("Summary of Data entered:", statement) |