Update app.py

app.py

@@ -71,34 +71,49 @@ def calculate_metrics(age, sex, height_cm, weight_kg, wc_cm):
     # BFP Category (ACE)
     if sex.lower() == "female":
         if bfp <= 13:
-            bfp_category = "Essential"
+            bfp_category = "Essential fat"
         elif bfp <= 20:
             bfp_category = "Athlete"
         elif bfp <= 24:
-            bfp_category = "Fitness"
+            bfp_category = "Fit"
         elif bfp <= 31:
             bfp_category = "Average"
         else:
             bfp_category = "Obese"
     else:
         if bfp <= 5:
-            bfp_category = "Essential"
+            bfp_category = "Essential fat"
         elif bfp <= 13:
             bfp_category = "Athlete"
         elif bfp <= 17:
-            bfp_category = "Fitness"
+            bfp_category = "Fit"
         elif bfp <= 24:
             bfp_category = "Average"
         else:
             bfp_category = "Obese"
-    
+
+    # Interpretation
+    if bfp_category=="Essential":
+        interpretation='Minimum fat required for basic physiological functions (e.g., hormone production, insulation). Females require higher essential fat due to reproductive functions.'
+    elif bfp_category=='Athletes':
+        interpretation='Typical for competitive athletes with high muscle mass and low fat (e.g., runners, bodybuilders).'
+    elif bfp_category=='Fit'
+        interpretation='Healthy range for active individuals who exercise regularly but aren’t competitive athletes.'
+    elif bfp_category=='Average'
+        interpretation='Common for the general population, still within healthy limits'
+    elif bfp_category=='Obese'
+        interpretation='Associated with increased health risks (e.g., diabetes, heart disease and other CVDs)'
+
+
+DataAll
     return {
         "BMI": round(bmi, 2),
         "WHTR": round(whtr, 2),
         "BFP": round(bfp, 2),
         "LBM": round(lbm, 2),
         "BMI_Category": bmi_category,
-        "BFP_Category": bfp_category
+        "BFP_Category": bfp_category,
+        "Interpretation": interpretation
     }
 
 # Prediction function