home.py

import streamlit as st

def home():
    st.markdown("""

        # Image Organizer Web App

        A web application using face recognition in Python with Streamlit.

        ## Introduction

        This project utilizes the face recognition Python module to build a web app powered by Streamlit. It allows users to organize images using face recognition.

        ## Features

        - Face detection, recognition and image organizer
        - Streamlit for a user-friendly web interface

        ## Installation

        1. Clone the repository:

        ```bash
        git clone https://github.com/CrimsonREwind/image-organizer-web-app.git
        cd image-organizer-web-app
        ```

        2. Install dependencies:

        ```bash
        pip install -r requirements.txt
        ```

        3. Run the Streamlit app:

        ```bash
        streamlit run app.py
        ```

        Visit `http://localhost:8501` in your browser to access the web app.

        ## Usage

        - Open the web app in your browser.
        - You can use register page to register your face in database
        - You can use add page to add images to be organized under registered face
        - You can use show page to see organized images

        ## Contributing

        Feel free to contribute to the project! If you find bugs, have feature requests, or want to improve the code, follow these steps:

        1. Fork the repository.
        2. Create a new branch: `git checkout -b feature/bugfix-your-feature`.
        3. Commit your changes: `git commit -m 'Add some feature'`.
        4. Push to the branch: `git push origin feature/bugfix-your-feature`.
        5. Submit a pull request.

        """)