target stats

appStore/doc_processing.py

@@ -73,8 +73,8 @@ def app():
               st.session_state['key0'] = df
               # if os.path.splitext(file_name)[-1] == 'pdf':
               st.session_state['pages'] = df.loc[len(df)-1,'page']
-              st.info('**{}**  with ~{} pages is splitted into {} paragraphs/text chunks (page number is **True** only for pdf files)'\
-                      .format(os.path.basename(file_name),st.session_state['pages'], len(df)), icon="ℹ️")
+              # st.info('**{}**  with ~{} pages is splitted into {} paragraphs/text chunks (page number is **True** only for pdf files)'\
+              #         .format(os.path.basename(file_name),st.session_state['pages'], len(df)), icon="ℹ️")
                   
               
           else:

appStore/target.py

@@ -79,14 +79,19 @@ def app():
 def target_display():
     if  'key1' in st.session_state:
         df = st.session_state.key1        
-        st.info('**{}**  with ~{} pages is splitted into {} paragraphs/text chunks (page number is **True** only for pdf files)'\
-                      .format(os.path.basename(st.session_state['filename']),st.session_state['pages'], len(df)), icon="ℹ️")
+        st.caption(""" **{}**  with ~{} pages is splitted into {} paragraphs/text chunks \
+                     (page number is **True** only for pdf files)"""\
+                      .format(os.path.basename(st.session_state['filename']),
+                             st.session_state['pages'], len(df)))
         
-        st.caption("""Some Targets are an intention to achieve a specific result, \
+        st.caption("""Target(Definition): Targets are an intention to achieve a specific result, \
                     for example, to reduce GHG emissions to a specific level \
                     (a GHG target) or increase energy efficiency or renewable \
                     energy to a specific level (a non-GHG target), typically by \ 
                     a certain date""")
+        st.caption("""Economy-wide Target (Definition): Certain Target are applicable \
+                      not at specific Sector level but are applicable at economic \
+                      wide scale. """)            
         hits  = df[df['Target Label'] == 'TARGET']
         range_val = min(5,len(hits))
         if range_val !=0:
@@ -105,7 +110,7 @@ def target_display():
                 st.write('**GHG Target Related Paragraphs**: `{}`'.format(count_ghg))
                 st.write('**Economy-wide Related Paragraphs**: `{}`'.format(count_economy))
             st.write('-------------------')    
-            hits = hits.sort_values(by=['Relevancy'], ascending=False)
+            hits = hits.sort_values(by=['Target Score'], ascending=False)
             netzerohit = hits[hits['Netzero Label'] == 'NETZERO']
             if not netzerohit.empty:
                 netzerohit = netzerohit.sort_values(by = ['Netzero Score'], ascending = False)