Update readme.md

readme.md

@@ -1,21 +1,24 @@
 # BeepBoop: Real Estate Data Visualization for Middlesex County, MA
 BeepBoop is a powerful data visualization tool that leverages the power of Plotly to provide interactive and insightful visualizations of real estate data in Middlesex County, MA.
 
+# Deployment
+Currently deployed at [https://beepboop-rselover.replit.app/](https://beepboop-rselover.replit.app/)
+
 # Features
 - Interactive plots: BeepBoop uses Plotly, a dynamic and interactive graphing library, to create beautiful and insightful visualizations.
 - Real estate data analysis: Analyze various aspects of real estate data such as price trends, property types, location-based analysis, and more.
 User-friendly: Easy to use, with a clean and intuitive interface.
 
 # Installation
-Clone the repository:
-`git clone https://github.com/yourusername/beepboop.git`
-Navigate to the project directory:
-`cd beepboop`
-Install the required dependencies:
-`pip install -r requirements.txt`
-Usage
-To run BeepBoop, execute the following command in your terminal:
-`python beepboop.py`
+Clone the repository: \
+`git clone https://github.com/yourusername/beepboop.git` \
+Navigate to the project directory: \
+`cd beepboop` \
+Install the required dependencies: \
+`pip install -r requirements.txt` \
+Usage \
+To run BeepBoop, execute the following command in your terminal: \
+`python beepboop.py` \
 
 # Contributing
 We welcome contributions! Please see our Contributing Guidelines for more details.
@@ -27,4 +30,4 @@ BeepBoop is licensed under the MIT License.
 If you have any questions, please raise and issue or contact via GitHub.
 
 # Acknowledgements
-We would like to thank the Plotly team for their amazing graphing library, and the community for their continuous support.
+We would like to thank the Plotly team for their amazing graphing library, and the community for their continuous support.