Update app.py

app.py

@@ -160,15 +160,15 @@ if uploaded_file is not None:
     }
     
     # Map the values from df3 to the appropriate DataFrames
-    boss['Boss_score'] = boss['Dimensions'].map(mappings['Boss_score'])
-    direct['Report_score'] = direct['Dimensions'].map(mappings['Report_score'])
-    colleague['Colleague_score'] = colleague['Dimensions'].map(mappings['Colleague_score'])
-    other_colleague['Other_colleague_score'] = other_colleague['Dimensions'].map(mappings['Other_colleague_score'])
-
-    boss = boss.sort_values(by = 'Boss_score', ascending = False).reset_index(drop = True)
-    direct = direct.sort_values(by = 'Report_score', ascending = False).reset_index(drop = True)
-    colleague = colleague.sort_values(by = 'Colleague_score', ascending = False).reset_index(drop = True)
-    other_colleague = other_colleague.sort_values(by = 'Other_colleague_score', ascending = False).reset_index(drop = True)
+    boss['Score'] = boss['Dimensions'].map(mappings['Boss_score'])
+    direct['Score'] = direct['Dimensions'].map(mappings['Report_score'])
+    colleague['Score'] = colleague['Dimensions'].map(mappings['Colleague_score'])
+    other_colleague['Score'] = other_colleague['Dimensions'].map(mappings['Other_colleague_score'])
+
+    boss = boss.sort_values(by = 'Score', ascending = False).reset_index(drop = True)
+    direct = direct.sort_values(by = 'Score', ascending = False).reset_index(drop = True)
+    colleague = colleague.sort_values(by = 'Score', ascending = False).reset_index(drop = True)
+    other_colleague = other_colleague.sort_values(by = 'Score', ascending = False).reset_index(drop = True)
 
     def assign_strength_weakness(df):
         df['Strength/Weakness'] = np.nan