target check

app.py

@@ -53,8 +53,10 @@ with st.expander("ℹ️ - About this app", expanded=False):
                
         """)
     st.write("")
-apps = [processing.app, target_extraction.app, netzero.app, ghg.app,
-        sector.app, policyaction.app, indicator.app, adapmit.app]
+apps = [processing.app, target_extraction.app]
+
+#netzero.app, ghg.app,
+ #       sector.app, policyaction.app, indicator.app, adapmit.app]
 multiplier_val =1/len(apps)
 if st.button("Analyze Document"):
     prg = st.progress(0.0)

utils/target_classifier.py

@@ -79,11 +79,11 @@ def target_classification(haystack_doc:pd.DataFrame,
                l[0]['score']) for l in results]
            
 
-    df1 = DataFrame(labels_, columns=["Target Label","Relevancy"])
+    df1 = DataFrame(labels_, columns=["Target Label","Target Score"])
     df = pd.concat([haystack_doc,df1],axis=1)
     
-    df = df.sort_values(by="Relevancy", ascending=False).reset_index(drop=True)  
+    df = df.sort_values(by="Target Score", ascending=False).reset_index(drop=True)  
     df.index += 1
-    df['Label_def'] = df['Target Label'].apply(lambda i: _lab_dict[i])
+    # df['Label_def'] = df['Target Label'].apply(lambda i: _lab_dict[i])
 
     return df