Update README.md

Added Windows binary and changed the README

README.md

@@ -1,81 +1,58 @@
-🩺 NCIC Live A&E Monitor
+# 🩺 NCIC Live A&E Monitor
 
-This is a Python application that allows you to view live data of the amount of patients in A&E and the latest waiting times, at NCIC facilities. The data is scraped from the ncic.nhs.uk waiting times page and displayed in a user-friendly GUI.
+This is a Python application that allows you to view live data of the amount of patients in A&E and the latest waiting times, at North Cumbria Integrated Care (NCIC) facilities. The data is scraped from the ncic.nhs.uk waiting times page and displayed in a user-friendly GUI.
 
 
 ## Features
 
-    Real-time Data: Displays the latest A&E and UTC waiting times for NCIC hospitals
+- Real-time Data: Displays the latest A&E and UTC waiting times for NCIC hospitals
 
-    Auto-refresh: The app automatically refreshes data every 5 minutes with a countdown timer.
+- Auto-refresh: The app automatically refreshes data every 5 minutes with a countdown timer.
 
-    Customizable UI: The interface is split into two sections for A&E and UTC departments, with hospital names highlighted for clarity.
+- Customizable UI: The interface is split into two sections for A&E and UTC departments, with hospital names highlighted for clarity.
 
-    Data Fetching: Uses BeautifulSoup to scrape HTML tables from the NHS website, parsing the relevant data on patients, wait times, and arrivals.
+- Data Fetching: Uses BeautifulSoup to scrape HTML tables from the NHS website, parsing the relevant data on patients, wait times, and arrivals.
 
-Requirements
+## Requirements
 
 To run this application, you need to have the following Python libraries installed:
 
-    requests
+- requests
-
+- beautifulsoup4
-    beautifulsoup4
+- tkinter (usually comes pre-installed with Python)
-
-    tkinter (usually comes pre-installed with Python)
 
 You can install the required libraries using pip:
 
-pip install requests beautifulsoup4
+`pip install requests beautifulsoup4`
 
-Python Version
+## Python Version
 
 This script is compatible with Python 3.x.
 
-How to Run
+## How to Run
 
-    Clone this repository to your local machine.
+### Linux
+- Clone this repository to your local machine.
+
+- Navigate to the directory:
+
+- Run the script linux.py
+
+### Windows
+
+- Download and run the windows.exe file
+
+### iOS / iPadOS
+
+- Download the ios.py script and run it in Pythonista
 
 
-    Navigate to the directory:
+## Troubleshooting
 
+   - App doesn't load: Ensure that all required libraries are installed. Run pip install requests beautifulsoup4.
 
-    Run the script linux.py
+   - No data appears: The data is fetched from the live NHS website, so ensure you have an internet connection and the website is accessible.
 
+## License
 
-
+This project uses data sourced from the NHS website and is made available under the <a href="https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government License</a>
-
-The app should now open and display the current NHS waiting times for A&E and UTC departments in North Cumbria.
-
-How It Works
-GUI Components
-
-    Title and Countdown: Displays the app title and a countdown timer showing the time remaining until the next data refresh.
-
-    Two Panels: One panel shows A&E departments, and the other shows Urgent Treatment Centres (UTC).
-
-    Hospital Information: Each hospital entry includes:
-
-        Hospital name (with an icon)
-
-        Number of patients currently in the department
-
-        Average wait time
-
-        Number of arrivals in the last hour
-
-Data Fetching
-
-The fetch_data() method scrapes the NHS page and extracts data from HTML tables using BeautifulSoup. This data is then formatted and displayed in the GUI.
-Auto Refresh
-
-The app refreshes the data every 5 minutes using a background thread, with a countdown timer indicating the time remaining until the next refresh.
-Simplifying Hospital Names
-
-The simplify_name() method is used to standardize and clean up hospital names, ensuring that any extra details (such as "24hrs") are removed for consistency.
-Example Screenshot
-
-Troubleshooting
-
-    App doesn't load: Ensure that all required libraries are installed. Run pip install requests beautifulsoup4.
-
-    No data appears: The data is fetched from the live NHS website, so ensure you have an internet connection and the website is accessible.