updates to text on input screen

input.html

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         <br> waterfall of meaning
       </div>
       <div id='info'>
-
         Language is subtle. Words may have multiple meanings and the same word can be used in different ways. This
-        flexibility speaks to the richness of human language, full of associations and subtext. We may subconsciously
-        consider certain words to be new or old, good or bad, male or female. When machines "read" text--from books,
-        articles, letters--they start to learn how language is used and to pick up on the multiple associations that may
-        exist. For example: how are the words "caviar" and "pizza" used? Do they show up in the same context? Are they
-        used in the same way? Waterfall of Meaning uses technology called 'word embeddings' to analyse millions of
-        existing English sentences and map words' meaning based on their use. When a word crosses one of the axes, its
-        location shows where it falls on the spectrum: more or less male or female, for instance.
+        flexibility speaks to the richness of human language, full of associations and subtext.
+        <br>
+        <br>
+        Subconsciously, we consider certain words to be new or old, good or bad, male or female. When machines “read”
+        text--from books, articles, letters--they start to learn how language is used and pick up on the multiple
+        associations that may exist. For example: how are the words “caviar” and “pizza” used? Do they show up in the
+        same contexts frequently? Are they used in the same way? Waterfall of Meaning uses technology called ‘word
+        embeddings’ to analyse millions of existing English sentences and map words’ meaning based on their use. When a
+        word crosses an axis, its location shows where it falls on the spectrum - for instance, is “caviar” more male or
+        female, based on this data?
         <br>
         <br>
         To this end, any biases that are found in the data will be reflected in the model as well. For this reason, it's