streamlit_app.py

import streamlit as st
from langchain.llms import OpenAI

# Langchain config
llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["api_key"], max_tokens=1500)

# Streamlit layout settings
st.set_page_config(page_title="Exercise Generator", layout="wide")

# Streamlit app layout
st.title(":green[Adaptive Exercise] Generator :mortar_board:")

# App description
st.subheader(
    "A demonstration of Generative AI's capabilities in Adaptive Learning.",
    divider="green",
)
st.markdown(
    """*Select a **language** for the generated exercise, the student **grade**, provide the **student's previous marks**, and select a **subject**.  
        Click on the **Generate Exercise** button to get an adapted exercise tailored to challenge students according to their skill level.*
"""
)

# Sidebar form:
language = st.sidebar.selectbox("Output Language", ("English", "French"))

grade = st.sidebar.selectbox(
    "Grade (EN - FR)",
    (
        "4th Grade - CM1",
        "8th Grade - 4ème",
        "12th Grade - Terminale",
    ),
)

marks = st.sidebar.selectbox(
    "Previous Marks",
    (
        "Student A (A, A, A, A)",
        "Student B (B, B, B, A)",
        "Student C (B, C, C, C)",
        "Student D (C, D, D, D)",
    ),
)

# Subjects vary depending on the selected grade
if grade == "4th Grade - CM1":
    subject = st.sidebar.selectbox(
        "Subject",
        (
            "Grammar",
            "Vocabulary",
            "Reading Comprehension",
            "Writing",
            "Algebra",
            "Science",
        ),
    )
elif grade == "8th Grade - 4ème":
    subject = st.sidebar.selectbox(
        "Subject",
        (
            "Grammar",
            "Reading Comprehension",
            "Writing",
            "Algebra",
            "Geometry",
            "Biology",
        ),
    )
elif grade == "12th Grade - Terminale":
    subject = st.sidebar.selectbox(
        "Subject",
        (
            "Philosophy",
            "Economy",
            "Literature",
            "Algebra",
            "Geometry",
        ),
    )

# Button to generate exercise
if st.sidebar.button("Generate Exercise"):
    # Specify the language for a better exercise generation
    if subject == "Literature":
        subject = f"{language} Literature"

    with st.spinner("Generating :robot_face:..."):
        prompt = f"""
You are a helpful instructional coach assisting teachers in lesson planning. 
Your task is to create a top-notch exercise to enhance a student's skills. 
You have access to the student's prior marks, their current grade, and the subject. 
Given this information, generate a {subject} exercise for the {grade} level, tailored to the student's previous performance: {marks}.
Your exercise should encompass the following elements:
-Title (don't mention the student)
-Exercise
-Answers
-Targeted Learning Objectives
-Adaptation to Prior Student Performance
Compose the entire response in {language}.
"""

        # Send the prompt to OpenAI API via Langchain
        completion = llm(prompt)

        if completion:
            # Display the generated exercise and other informations
            st.subheader(":sparkles: Generated Exercise :sparkles:")
            st.write(completion)
        else:
            st.error("Error generating the exercise. Please try again.")