Update app.py

app.py

@@ -51,11 +51,12 @@ if opt == "Neuroblastoma corpus":
     num_abstracts = 29032
     database_name = "Neuroblastoma"
 
-st.title(":red[Fast Acting Text Analysis (FATA) 4 Science]")
+st.header(":red[Fast Acting Text Analysis (FATA) 4 Science]")
+
+st.subheader(":red[Uncovering knowledge through Natural Language Processing (NLP)]")
 st.markdown("---")
-st.subheader("Uncovering knowledge through Natural Language Processing (NLP)")
 
-st.header(f"{database_name} Pubmed corpus.")
+st.header(f":blue[{database_name} Pubmed corpus.]")
 text_input_value = st.text_input(f"Enter one term to search within the {database_name} corpus")
 query = text_input_value
 query = query.lower()
@@ -67,7 +68,7 @@ if any([x in query for x in matches]):
 if query:
     bar = st.progress(0)
     time.sleep(.05)
-    st.caption(f":LightSkyBlue[searching {num_abstracts} {database_name} PubMed abstracts] covering 1990-2022")
+    st.caption(f"Searching {num_abstracts} {database_name} PubMed abstracts covering 1990-2022")
 
     for i in range(10):
         bar.progress((i + 1) * 10)
@@ -83,7 +84,7 @@ if query:
     except:
         st.error("Term occurrence is too low - please try another term")
         st.stop()
-
+    st.markdown("---")
     # def findRelationships(query, df):
     table = model.wv.most_similar_cosmul(query, topn=10000)
     table = (pd.DataFrame(table))