Update app.py

app.py

@@ -46,8 +46,8 @@ This is an example of an auto-complete approach where the next token suggested b
 The next token is predicted per probability and a weight if it is appeared in keyword user's history or there is a similarity to semantic user's history
 
 """)
-        history_keyword_text = st.text_input("Enter users's history **keywords match** (optional, i.e., 'Gates')", value="")
-        semantic_text = st.text_input("Enter users's history **semantic** (optional, i.e., 'Microsoft or President')", value="Microsoft")
+        history_keyword_text = st.text_input("Enter users's history <Keywords Match> (optional, i.e., 'Gates')", value="")
+        semantic_text = st.text_input("Enter users's history <Semantic> (optional, i.e., 'Microsoft' or 'President')", value="Microsoft")
         
         text = st.text_input("Enter a text for auto completion...", value='Where is Bill')