Update app.py

app.py

@@ -214,19 +214,23 @@ with tab3:
     if st.button("Convert to Binary Labels"):
         common_cols = list(set(edited_df.columns) & set(thresholds.index))
         numeric_cols = edited_df[common_cols].select_dtypes(include=[np.number]).columns.tolist()
-
+    
         binary_part = edited_df[numeric_cols].ge(thresholds[numeric_cols]).astype(int)
         non_binary_part = edited_df.drop(columns=numeric_cols, errors='ignore')
         binary_df = pd.concat([non_binary_part, binary_part], axis=1)
-
+    
         def highlight_binary(val):
-            color = 'lightgreen' if val == 1 else 'lightcoral'
-            return f'background-color: {color}'
-
+            if val == 1:
+                return 'background-color: lightgreen'
+            elif val == 0:
+                return 'background-color: lightcoral'
+            else:
+                return ''
+    
         styled_binary_df = binary_df.style.applymap(highlight_binary, subset=numeric_cols)
-
+    
         st.subheader("Binary Labels")
-        st.dataframe(styled_binary_df)
+        st.dataframe(styled_binary_df)   # ✅ Display thresholded binary table
 
         st.download_button(
             label="Download Binary Labels Table as CSV",
@@ -234,3 +238,4 @@ with tab3:
             file_name="ef_binary_labels_table.csv",
             mime="text/csv"
         )
+