Update appStore/tapp_display.py

appStore/tapp_display.py

@@ -38,9 +38,7 @@ def targets():
     
 def target_display():
     if 'key1' in st.session_state:
-        st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
-                          .format(os.path.basename(st.session_state['filename']),
-                                 len(st.session_state['key0'])))   
+           
         
         hits  = st.session_state['target_hits']
         if len(hits) !=0:
@@ -53,6 +51,9 @@ def target_display():
             count_adaptation = sum(hits['AdaptationLabel'] == True)
             
             st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Target Related Paragraphs Statistics </h4>", unsafe_allow_html=True)
+            st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
+                          .format(os.path.basename(st.session_state['filename']),
+                                 len(st.session_state['key0'])))
             
             c1, c2 = st.columns([1,1])
             with c1:
@@ -63,7 +64,7 @@ def target_display():
                 st.write('**GHG Target Related Paragraphs**: `{}`'.format(count_ghg))
                 st.write('**NonGHG Target Related Paragraphs**: `{}`'.format(count_nonghg))
                 st.write('**Adaptation Related Paragraphs**: `{}`'.format(count_adaptation))
-            st.write('----------------')
+            #st.write('----------------')
 
             
             
@@ -97,10 +98,7 @@ def actions():
         st.session_state['action_hits'] = df
     
 def action_display():
-    if 'key1' in st.session_state:
-        st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
-                          .format(os.path.basename(st.session_state['filename']),
-                                 len(st.session_state['key0'])))   
+    if 'key1' in st.session_state: 
         
         hits  = st.session_state['action_hits']
         if len(hits) !=0:
@@ -109,15 +107,18 @@ def action_display():
             count_mitigation = sum(hits['MitigationLabel'] == True)
             count_adaptation = sum(hits['AdaptationLabel'] == True)
             
-
+            st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Action Related Paragraphs Statistics </h4>", unsafe_allow_html=True)
+            st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
+                          .format(os.path.basename(st.session_state['filename']),
+                                 len(st.session_state['key0'])))
             c1, c2 = st.columns([1,1])
             with c1:
                 st.write('**Action Related Paragraphs**: `{}`'.format(count_action))
                 st.write('**Mitigation Related Paragraphs**: `{}`'.format(count_mitigation))
             with c2:
                 st.write('**Adaptation Related Paragraphs**: `{}`'.format(count_adaptation))
-            st.write('----------------')
-            st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Action Related Paragraphs Count </h4>", unsafe_allow_html=True)
+            #st.write('----------------')
+            #st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Action Related Paragraphs Count </h4>", unsafe_allow_html=True)
             cols = list(hits.columns)
             sector_cols = list(set(cols) - {'ActionLabel','MitigationLabel','AdaptationLabel','GHGLabel','NetzeroLabel','NonGHGLabel','text','keep','page'})
             sector_cols.sort()
@@ -129,6 +130,8 @@ def action_display():
             sector_df = pd.DataFrame.from_dict(placeholder)
             fig = px.bar(sector_df, x='Sector', y='Count')
             st.plotly_chart(fig,use_container_width= True)
+            st.write('------------------------')
+            st.write('Explore the data')
                 
             st.dataframe(hits[['text','page','keep','MitigationLabel','AdaptationLabel','Sector']])
         else:
@@ -147,9 +150,7 @@ def policy():
     
 def policy_display():
     if 'key1' in st.session_state:
-        st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
-                          .format(os.path.basename(st.session_state['filename']),
-                                 len(st.session_state['key0'])))   
+   
         
         hits  = st.session_state['policy_hits']
         if len(hits) !=0:
@@ -157,16 +158,18 @@ def policy_display():
             count_action = sum(hits['PolicyLabel'] == True)
             count_mitigation = sum(hits['MitigationLabel'] == True)
             count_adaptation = sum(hits['AdaptationLabel'] == True)
-            
-
+            st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Policy Related Paragraphs Statistics </h4>", unsafe_allow_html=True)
+            st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
+                          .format(os.path.basename(st.session_state['filename']),
+                                 len(st.session_state['key0'])))
             c1, c2 = st.columns([1,1])
             with c1:
                 st.write('**Policy Related Paragraphs**: `{}`'.format(count_action))
                 st.write('**Mitigation Related Paragraphs**: `{}`'.format(count_mitigation))
             with c2:
                 st.write('**Adaptation Related Paragraphs**: `{}`'.format(count_adaptation))
-            st.write('----------------')
-            st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Policy Related Paragraphs Count </h4>", unsafe_allow_html=True)
+            #st.write('----------------')
+            
             cols = list(hits.columns)
             sector_cols = list(set(cols) - {'PolicyLabel','MitigationLabel','AdaptationLabel','GHGLabel','NetzeroLabel','NonGHGLabel','text','keep','page'})
             sector_cols.sort()
@@ -177,7 +180,8 @@ def policy_display():
             sector_df = pd.DataFrame.from_dict(placeholder)
             fig = px.bar(sector_df, x='Sector', y='Count')
             st.plotly_chart(fig,use_container_width= True)
-                
+            st.write('-------------------')
+            st.write('Explore the data')
             st.dataframe(hits[['text','page','keep','MitigationLabel','AdaptationLabel','Sector']])
         else:
             st.info("🤔 No Policy Found")
@@ -192,10 +196,7 @@ def plans():
         st.session_state['plan_hits'] = df
     
 def plans_display():
-    if 'key1' in st.session_state:
-        st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
-                          .format(os.path.basename(st.session_state['filename']),
-                                 len(st.session_state['key0'])))   
+    if 'key1' in st.session_state:  
         
         hits  = st.session_state['plan_hits']
         if len(hits) !=0:
@@ -203,16 +204,19 @@ def plans_display():
             count_action = sum(hits['PlansLabel'] == True)
             count_mitigation = sum(hits['MitigationLabel'] == True)
             count_adaptation = sum(hits['AdaptationLabel'] == True)
-            
 
+            st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Plans Related Paragraphs Statistics </h4>", unsafe_allow_html=True)
+            st.caption(""" **{}** is splitted into **{}** paragraphs/text chunks."""\
+                          .format(os.path.basename(st.session_state['filename']),
+                                 len(st.session_state['key0']))) 
             c1, c2 = st.columns([1,1])
             with c1:
                 st.write('**Plans Related Paragraphs**: `{}`'.format(count_action))
                 st.write('**Mitigation Related Paragraphs**: `{}`'.format(count_mitigation))
             with c2:
                 st.write('**Adaptation Related Paragraphs**: `{}`'.format(count_adaptation))
-            st.write('----------------')
-            st.markdown("<h4 style='text-align: left; color: black;'> Sectoral Plans Related Paragraphs Count </h4>", unsafe_allow_html=True)
+            #st.write('----------------')
+            
             cols = list(hits.columns)
             sector_cols = list(set(cols) - {'PlansLabel','MitigationLabel','AdaptationLabel','GHGLabel','NetzeroLabel','NonGHGLabel','text','keep','page'})
             sector_cols.sort()
@@ -223,6 +227,8 @@ def plans_display():
             sector_df = pd.DataFrame.from_dict(placeholder)
             fig = px.bar(sector_df, x='Sector', y='Count')
             st.plotly_chart(fig,use_container_width= True)
+            st.write('---------------')
+            st.write('Explore the data')
                 
             st.dataframe(hits[['text','page','keep','MitigationLabel','AdaptationLabel','Sector']])
         else: