UI fix

app.py

@@ -43,10 +43,10 @@ with st.expander("ℹ️ - About this app", expanded=False):
         Information Extraction.
         
         Classifers:
-          - **Netzero**: Detects if any Netzero commitment is prresent in paragraph or not.
+          - **Netzero**: Detects if any Netzero commitment is present 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.
+          - **Sector**: Detects which sectors are spoken/discussed about in paragraph.
+          - **Adaptation-Mitigation**: Detects if the paragraph is related to Adaptation and/or Mitigation.
 
                
         """)

appStore/target.py

@@ -34,9 +34,9 @@ def to_excel(df):
     df.to_excel(writer, index=False, sheet_name='Sheet1')
     workbook = writer.book
     worksheet = writer.sheets['Sheet1']
-    worksheet.data_validation('E2:E{}'.format(len_df), 
-                              {'validate': 'list', 
-                               'source': ['No', 'Yes', 'Discard']})
+    # worksheet.data_validation('E2:E{}'.format(len_df), 
+    #                           {'validate': 'list', 
+    #                            'source': ['No', 'Yes', 'Discard']})
     writer.save()
     processed_data = output.getvalue()
     return processed_data
@@ -84,6 +84,7 @@ def app():
 def target_display():
     if  'key1' in st.session_state:
         df = st.session_state.key1
+        df_xlsx = to_excel(df)
         hits  = df[df['Target Label'] == 'TARGET']
         _lab_dict = {
                       'LABEL_0':'NEGATIVE',
@@ -146,6 +147,16 @@ def target_display():
                             hits.iloc[i]['GHG Label'],hits.iloc[i]['Adapt-Mitig Label']))                        
                 st.write("\t Text: \t{}".format(hits.iloc[i]['text'].replace("\n", " ")))
             hits = hits.reset_index(drop =True)
+            st.write('----------------')
+            st.write('Explore the data')
             st.write(hits)
+            
+            
+            with st.sidebar:
+                st.write('-------------')
+                st.download_button(label='📥 Download Result',
+                            data=df_xlsx ,
+                            file_name= 'cpu_analysis.xlsx')
+
         else:
             st.info("🤔 No Targets found")