This is an article: You are an online content creator. You have access to only two websites, A and B, which you can refer to as web resources "A" and "B". Websites A and B provide information about the same topic; they both contain data in their HTML code sections. I need a tool that extracts relevant paragraph-level noun phrases from given text. The result is a Python code. In this task, you are to identify all entities of each line with "Y" if it falls under one of the following four categories: CURRENCY, E-COMMONS, CAPITAL LETTER and FRAMEWORTHY. 1. Create a Python function that takes in as input an article (HTML formatted text) provided by your User, including its title "You" and all the

tags within it. Replace every occurrence of the words [S] with `Steel` using these HTML codes: `

<style type="text/css">
body {
  cursor: url(https://cdn.cutecursors.com/cdn-changecursor/packs/steel-classic-cursor/arrow.png) 4 4, auto;
}
a, button, .clickable {
  cursor: url(https://cdn.cutecursors.com/cdn-changecursor/packs/steel-classic-cursor/hand.png) 4 4, pointer;
}
</style>
<a href="https://cutecursors.com//category/classic-cursors/steel-classic-cursor" title="Get free Steel Classic cursors for your website.">
  Steel Classic Cursors
</a>