UI fix

app.py

@@ -41,6 +41,12 @@ with st.expander("ℹ️ - About this app", expanded=False):
         - Step 3: The paragraphs which are detected containing some target \
         related information are then fed to multiple classifier to enrich the 
         Information Extraction.
+        Classifers:
+          - **Netzero**: Detects if any Netzero commitment is prresent in paragraph or not.
+          - **GHG**: Detects if any GHG related information present in paragraph or not.
+          - **Sector**: Detects which sectors are spoken/dsicussed about in paragraph.
+          - **Adaptation-Mitigation**: Detects if the pragraph is related to Adaptation and/or Mitigation.
+
                
         """)
     st.write("")

appStore/target.py

@@ -119,19 +119,21 @@ def target_display():
             with c2:
                 st.write('**GHG Related Paragraphs**: `{}`'.format(count_ghg))
                 st.write('**Economy-wide Related Paragraphs**: `{}`'.format(count_economy))
-                
+            st.write('-------------------')    
             hits = hits.sort_values(by=['Relevancy'], ascending=False)
             netzerohit = hits[hits['Netzero Label'] == 'NETZERO']
             if not netzerohit.empty:
                 netzerohit = netzerohit.sort_values(by = ['Netzero Score'], ascending = False)
-                st.markdown("###### Netzero paragraph ######")
-                st.write('** Text `page {}`: {}'.format(netzerohit.iloc[0]['page'],
+                # st.write('-------------------')
+                # st.markdown("###### Netzero paragraph ######")
+                st.write('** Netzero paragraph `page {}`: {}'.format(netzerohit.iloc[0]['page'],
                                 netzerohit.iloc[0]['text'].replace("\n", " ")))                        
                 st.write("")
             else:
                 st.info("🤔 No Netzero paragraph found")
 
             # st.write("**Result {}** `page {}` (Relevancy Score: {:.2f})'".format(i+1,hits.iloc[i]['page'],hits.iloc[i]['Relevancy'])")
+            st.write('-------------------')
             st.markdown("###### Top few Target Classified paragraph/text results ######")
             range_val = min(5,len(hits))
             for i in range(range_val):