To create a README file for your Streamlit application, you can provide a brief overview of the application, its features, and how to run it. Here's an example README file for your application:

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# Insta's EYE - Face Recognition and Person Management

Insta's EYE is a Streamlit application that allows users to manage a database of people along with their Instagram handles and perform face recognition on uploaded images. The application integrates with Firebase for authentication and database management.

## Features

- **User Authentication:** Users can sign up and log in to manage their set of images and profiles.
- **Add Person:** Users can add a person to the database along with their name, image, and Instagram handle.
- **Recognize Face:** Users can upload an image and the application will recognize the person in the image, if present in the database.
- **Recognize Face (Optimal):** Users can upload an image and the application will find the best match in the database based on the similarity of facial features.
- **Delete Person:** Users can delete a person from the database.

## Getting Started

1. Clone the repository:
   ```sh
   git clone https://github.com/your_username/instas-eye.git
   ```

2. Install the required dependencies:
   ```sh
   pip install -r requirements.txt
   ```

3. Run the Streamlit application:
   ```sh
   streamlit run app.py
   ```

4. Access the application in your web browser at `http://localhost:8501`.

## Dependencies

- Streamlit
- Firebase Admin SDK
- Face Recognition
- dlib
- OpenCV
- PIL

## License

This project is licensed under the MIT License - see the `LICENSE` file for details.

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You can customize this README file further based on your specific application details and requirements.