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import streamlit as st
from PIL import Image

def main():
    st.set_page_config(page_title="DR Assistive Tool", layout="centered")
    
    st.markdown("<h1 style='text-align: center; color: #2E86C1;'>DR Assistive Tool</h1>", unsafe_allow_html=True)

    st.markdown("""
    <h4 style='text-align: center; color: grey;'>
        An AI-powered assistant for early detection of Diabetic Retinopathy
    </h4>
    """, unsafe_allow_html=True)

    st.markdown("""---""")

    st.markdown("""
    ### ๐Ÿง  What is DR Assistive Tool?
    **DR Assistive Tool** is a user-friendly web application built for early and accurate detection of **Diabetic Retinopathy (DR)**โ€”a diabetes-related eye disease that can lead to blindness if not diagnosed in time. This tool uses **AI and deep learning models** trained on retinal images to help healthcare professionals, students, and researchers identify the severity stage of DR.

    By simply uploading a retinal image, the model will:
    - Analyze the image using advanced machine learning techniques
    - Predict the stage of Diabetic Retinopathy (No DR, Mild, Moderate, Severe, Proliferative DR)
    - Provide a quick, reliable, and cost-efficient second opinion for screening

    The app also offers evaluation options to test the model's performance using real datasets, ensuring its credibility and practical usability.
    """)

    st.markdown("""
    ---
    ### ๐Ÿ›  Features:
    - ๐Ÿ“ค **Upload retinal images** for DR stage prediction
    - ๐Ÿ“Š **Evaluate** the model using real test datasets
    - ๐Ÿ“ **View results** with interpretation and confidence score
    - ๐Ÿ“ˆ **Analyze model performance** using accuracy, precision, confusion matrix, and more (in evaluation mode)

    ---
    ### ๐Ÿ“Œ How to Use:
    1. Use the **sidebar** to select a feature (e.g., Predict or Evaluate).
    2. In **Evaluate**, to check model accuracy.
    3. In **Predict**, choose an DR image in sample images to predict or upload a high-quality retinal image (JPEG or PNG).

    โš ๏ธ *Note: This tool is not a diagnostic tool. This is an assistive tool for Doctors.*
    """)

if __name__ == '__main__':
    main()