app.py

import streamlit as st
import openai
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

# Set OpenAI API credentials
openai.api_key = "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"

# Add custom CSS styles
st.markdown(
    """
    <style>
    body {
        background-color: black;
        color: purple;
    }

    /* Modify the color of the title */
    .css-1fcmnw0 h1 {
        color: purple;
    }

    /* Modify the background color of the input field */
    .css-xpo4mk.st-cg {
        background-color: #483d8b;
        color: white;
    }

    /* Modify the color of the dropdown select box */
    .css-2trqyj {
        color: purple;
    }

    /* Modify the background and text color of the button */
    .css-14jx6h6 {
        background-color: purple;
        color: white;
    }
    </style>
    """,
    unsafe_allow_html=True
)

# Set page title
st.title("A.I Lesson Plan for Teachers")

# Ask for age
age = st.number_input("Enter learner's age", min_value=0, max_value=100, step=1)

# Ask for subject and provide a text area
subject = st.text_area("Enter the subject")
topic= st.text_area("Enter the topic")
board = st.text_area("Enter the board ex: edexcel, aqa, IB or CBSE")

# Complexity levels
complexity_levels = ["Beginner", "Intermediate", "Advanced", "Expert", "Master"]
complexity = st.selectbox("Select the complexity level", complexity_levels)

# Number of days
plan_duration = st.selectbox("Select the duration of the plan", ["1 hour", "1 week", "1 month", "3 months","6 months"])

# Generate lesson plan
if st.button("Generate Lesson Plan"):
    # Define the prompt for ChatGPT
    prompt = f"Generate a detailed lesson plan along with few topic examples for teaching {subject}  to {age}-year-old students with objectives that are SMART, Methodology include ice breakers, teacher exposition, practice and wrap up and apart from this it should also include resource and assessment criteria. The lesson plan should have a complexity level of {complexity} and a duration of {plan_duration}.The lesson plan should follow the {board} exam board."

    # Call the OpenAI API to generate the lesson plan
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=1000,
        n=1,
        stop=None,
        temperature=0.7
    )

    # Extract the generated lesson plan from the API response
    lesson_plan = response.choices[0].text.strip()

    # Display the generated lesson plan
    st.subheader("Generated Lesson Plan")
    st.write(lesson_plan)

    # Create PDF file
    def create_pdf():
        pdf_file = "lesson_plan.pdf"
        c = canvas.Canvas(pdf_file, pagesize=letter)
        c.setFillColor("#000000")  # Set fill color to black
        c.setFont("Helvetica", 12)
        c.drawString(100, 700, "Lesson Plan:")
        c.setFont("Helvetica", 10)
        lines = lesson_plan.split("\n")
        y = 680
        for line in lines:
            c.drawString(100, y, line)
            y -= 15
        c.save()
        return pdf_file

    # Download button for the lesson plan in PDF format
    pdf_file = create_pdf()
    st.download_button(
        label="Download Lesson Plan (PDF)",
        data=pdf_file,
        file_name="lesson_plan.pdf",
        mime="application/pdf"
    )