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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.
""")
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