Create Readme

Readme

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