update description for WIP features

app.py

@@ -290,12 +290,15 @@ title1 = "Patent-BERT: Context-Dependent Synonym Generator"
 description1 = """<p>
 Try inserting a few sentences from a patent, and pick keywords for the model to analyze. The model will analyze the 
 context of the keywords in the sentences and generate the top five most likely candidates for each word. 
-Can be used for more creative patent drafting or patent searches using the generated search string.  
-
-This is a model based on 
+This can be used for more creative patent drafting or patent searches using the generated search string. This is a model based on 
 <a href= "https://github.com/google/patents-public-data/blob/master/models/BERT%20for%20Patents.md">Patent BERT</a> created by Google.
 
-<strong>Note:</strong> Current pipeline only allows for three keyword submission.
+<strong>Note:</strong> Current pipeline only allows for <strong>three</strong> keyword submission. Stemming is built into the output for 
+broader search string. <br/>
+
+WIP features include: (<strong>A</strong>) adjustment options for (i) the number of keywords, (ii) the number of context-dependent synonyms, 
+and (iii) a 'creativity' parameter of the model, (<strong>B</strong>) analysis of where these words appear at in the patent (e.g., 
+claim, summary, etc.), and (<strong>C</strong>) stemming option for input keywords. 
 <br/>
 <p/>"""