app.py

app.py

@@ -0,0 +1,100 @@
+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
+
+def write_sidebar():
+    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.")
+
+def write_iep_assist():
+    st.title("IEP Assist Premium")
+
+    # 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"):
+        # 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)
+
+def write_iep_goal_generator():
+    st.title("IEP Goal Compass")
+
+    grade_level = st.selectbox("Select the student's grade level:", ["Pre-K", "K", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12"], key="grade_level")
+    qualifying_condition = st.multiselect("Select the qualifying condition(s):", ["Autism", "Emotional disturbance", "Intellectual disability", "Specific learning disability", "Other health impairment", "Speech or language impairment", "Deaf-blindness", "Deafness", "Blindness", "Multiple disabilities", "Orthopedic impairment", "Traumatic brain injury"], key="qualifying_condition")
+    teacher_input = st.text_area("Enter student data:", key="teacher_input")
+
+    # Generate IEP goal
+    if st.button("Generate Goal", key="generate_goal"):
+        # Call the OpenAI API and generate a goal
+        response = openai.Completion.create(
+            engine="text-davinci-003",
+            prompt=f"Generate an achievable and measurableable IEP goal for a student who is in grade {grade_level} and has qualifying conditions of {', '.join(qualifying_condition)} based on teacher reported information: {teacher_input}",
+            max_tokens=2000,
+            n=1,
+            stop=None,
+            temperature=0.85,
+        )
+        goal = response["choices"][0]["text"]
+        # Show the generated goal
+        st.write("IEP Goal:", goal)
+
+if __name__ == "__main__":
+    write_sidebar()
+    write_iep_assist()
+    write_iep_goal_generator()