Update app.py

app.py

@@ -486,38 +486,39 @@ def analyze_response(user_response):
     
     # Calculate fairness metrics if enough samples
     fairness_metrics = ""
-   if len(ALL_Y_TRUE) > 1:
-    dpd = demographic_parity_difference(
-        ALL_Y_TRUE, ALL_Y_PRED, sensitive_features=ALL_GROUPS
-    )
-    dpr = demographic_parity_ratio(
-        ALL_Y_TRUE, ALL_Y_PRED, sensitive_features=ALL_GROUPS
-    )
-    if np.isnan(dpr) or dpr == 0:
-        dpr = 0.01
+    
+    if len(ALL_Y_TRUE) > 1:
+        dpd = demographic_parity_difference(
+            ALL_Y_TRUE, ALL_Y_PRED, sensitive_features=ALL_GROUPS
+        )
+        dpr = demographic_parity_ratio(
+            ALL_Y_TRUE, ALL_Y_PRED, sensitive_features=ALL_GROUPS
+        )
+        if np.isnan(dpr) or dpr == 0:
+            dpr = 0.01
 
-    eod = equalized_odds_difference(
-        ALL_Y_TRUE, ALL_Y_PRED, sensitive_features=ALL_GROUPS
-    )
+        eod = equalized_odds_difference(
+            ALL_Y_TRUE, ALL_Y_PRED, sensitive_features=ALL_GROUPS
+        )
 
    
-    explanation = explain_fairness_metrics(dpd, dpr, eod)
+        explanation = explain_fairness_metrics(dpd, dpr, eod)
 
 
-    fairness_metrics = f"""
+        fairness_metrics = f"""
 === FAIRNESS METRICS ===
 DPD: {dpd:.2f}
 DPR: {dpr:.2f}
 EOD: {eod:.2f}
 Samples collected: {len(ALL_Y_TRUE)}
 
-{overall}
+    {overall}
 
 --- What this means ---
-{explanation}
-"""
-else:
-    fairness_metrics = "Not enough samples for fairness metrics."
+    {explanation}
+    """
+    else:
+        fairness_metrics = "Not enough samples for fairness metrics."
     
     # Mitigation