Update app.py

app.py

@@ -127,7 +127,8 @@ with st.container():
         btnPastHistory = st.button('📇Past History (6 Mths)')
         if btnPastHistory:          
             inputNote = "Input History records"
-            
+
+##========= on Past History Tab  =========
 if btnPastHistory:
     st.text_area('Past History','Date of discharge: xxxxxxxxx')
     
@@ -146,7 +147,7 @@ with st.container():
             #st.selectbox('Past Episodes',pastHistoryEp)
             pastHistory = st.sidebar.selectbox(' ', pastHistoryEpid)
     
-
+##========= END on Past History Tab  =========
 
 
 # Extract words associated with each entity
@@ -164,7 +165,13 @@ def genEntities(ann, entity):
 
 
 ##======================== Start of NER Tagging ========================
-
+# ====== Old NER ======
+#doc = nlp(str(original_text2))
+#colors = { "DISEASE": "pink","CHEMICAL": "orange"}
+#options = {"ents": [ "DISEASE", "CHEMICAL"],"colors": colors}
+#ent_html = displacy.render(doc, style="ent", options=options)
+# ====== End of Old NER ======
+                  
 #lemmatizing the notes to capture all forms of negation(e.g., deny: denies, denying)
 def lemmatize(note, nlp):
     doc = nlp(note)
@@ -282,12 +289,7 @@ def run_model(input_text):
 
     
     st.success(output)
-# ====== Old NER ======
-#doc = nlp(str(original_text2))
-#colors = { "DISEASE": "pink","CHEMICAL": "orange"}
-#options = {"ents": [ "DISEASE", "CHEMICAL"],"colors": colors}
-#ent_html = displacy.render(doc, style="ent", options=options)
-# ====== End of Old NER ======
+
 
 col1, col2 = st.columns([1,1])