Update src/streamlit_app.py

src/streamlit_app.py

@@ -159,11 +159,12 @@ if st.session_state.show_results:
                 
         with st.expander("See Glossary of tags"):
             st.write('''
-            - **text**: ['entity extracted from your text data']
-            - **score**: ['accuracy score; how accurately a tag has been assigned to a given entity']
-            - **label**: ['label (tag) assigned to a given extracted entity']
             - **start**: ['index of the start of the corresponding entity']
             - **end**: ['index of the end of the corresponding entity']
+            - **text**: ['entity extracted from your text data']
+            - **label**: ['label (tag) assigned to a given extracted entity']\
+            - **score**: ['accuracy score; how accurately a tag has been assigned to a given entity']
+            
             ''')
         
         st.divider()
@@ -217,8 +218,8 @@ if st.session_state.show_results:
         
         # Download Section
         st.divider()
-        dfa = pd.DataFrame(data={'Column Name': ['text', 'label', 'score', 'start', 'end'],
-                                'Description': ['entity extracted from your text data', 'label (tag) assigned to a given extracted entity', 'accuracy score; how accurately a tag has been assigned to a given entity', 'index of the start of the corresponding entity', 'index of the end of the corresponding entity']})
+        dfa = pd.DataFrame(data={'Column Name': ['start', 'end', 'text', 'label', 'score'],
+                                'Description': ['index of the start of the corresponding entity', 'index of the end of the corresponding entity', 'entity extracted from your text data', 'label (tag) assigned to a given extracted entity', 'accuracy score; how accurately a tag has been assigned to a given entity']})
         
         buf = io.BytesIO()
         with zipfile.ZipFile(buf, "w") as myzip: