Update appbackup.py

appbackup.py

@@ -6,9 +6,18 @@ import plotly.graph_objs as go
 
 # Constants from linear regression
 REGRESSION_CONSTANTS = {
-    'Femoral Neck': {'mu': 0.916852, 'sigma': 0.120754},
-    'Total Hip': {'mu': 0.955439, 'sigma': 0.125406},
-    'Lumbar spine (L1-L4)': {'mu': 1.131649, 'sigma': 0.139618},
+    'Femoral Neck': {
+        'Female': {'mu': 0.916852, 'sigma': 0.120754},
+        'Male': {'mu': 0.9687385325352573, 'sigma': 0.121870698023835}
+    },
+    'Total Hip': {
+        'Female': {'mu': 0.955439, 'sigma': 0.125406},
+        'Male': {'mu': 0.967924895046735, 'sigma': 0.13081439619361657}
+    },
+    'Lumbar spine (L1-L4)': {
+        'Female': {'mu': 1.131649, 'sigma': 0.139618},
+        'Male': {'mu': 1.1309707991669353, 'sigma': 0.1201836924980611}
+    }
 }
 
 # Load medication data
@@ -182,7 +191,7 @@ def main():
     dexa_machine = st.selectbox("DEXA Machine", ["LUNAR"])
     
     # Gender Selection
-    gender = st.selectbox("Gender", ["Female"])
+    gender = st.selectbox("Gender", ["Female", "Male"])
     
     # Location (Site) Selection with Mapping
     site_mapping = {
@@ -207,7 +216,7 @@ def main():
     
     # Load constants and medication data
     medication_data = load_medication_data()
-    constants = REGRESSION_CONSTANTS.get(selected_site, {})
+    constants = REGRESSION_CONSTANTS[selected_site][gender]
 
     # Generate and display predictions for selected medications
     if st.button("Predict"):