Update app.py

app.py

@@ -974,7 +974,7 @@ with tab_train:
 
         if train_file is not None:
             df = pd.read_excel(train_file, engine="openpyxl")
-            df = add_ethnicity_region(df, eth_col="Ethnicity", out_col="Ethnicity_Region")
+            
 
             feature_cols = get_feature_cols_from_df(df)
             st.dataframe(df.head())
@@ -1263,11 +1263,6 @@ with tab_predict:
 
     MIN_DOB = date(1900, 1, 1)
 
-    DEFAULT_OPTIONS = {
-        # ============================================================
-# DEFAULT DROPDOWN OPTIONS (used when Excel not uploaded)
-# ============================================================
-
     ALL_COUNTRIES = [
         "Afghanistan","Albania","Algeria","Andorra","Angola","Antigua and Barbuda",
         "Argentina","Armenia","Australia","Austria","Azerbaijan","Bahamas","Bahrain",
@@ -1302,6 +1297,8 @@ with tab_predict:
         "Zimbabwe",
         "Other","Unknown"
     ]
+
+    
     
     
     DEFAULT_OPTIONS = {
@@ -1505,13 +1502,13 @@ with tab_predict:
     
     c1, c2 = st.columns(2)
     with c1:
-        dob_unknown = st.checkbox("DOB unknown", value=False, key="dob")
+        dob_unknown = st.checkbox("DOB unknown", value=False, key="dob_unknown_chk")
         dob = None
         if not dob_unknown:
-            dob = st.date_input("Date of birth (DOB)", min_value=MIN_DATE, max_value=date.today(), key="dob")
+            dob = st.date_input("Date of birth (DOB)", min_value=MIN_DATE, max_value=date.today(), key="dob_date")
     
     with c2:
-        dx_unknown = st.checkbox("Diagnosis date unknown", value=False, key="dx_unknown")
+        dx_unknown = st.checkbox("Diagnosis date unknown", value=False, key="dx_unknown_chk")
         dx_date = None
         if not dx_unknown:
             dx_date = st.date_input("Date of 1st Bone Marrow biopsy (Diagnosis)", min_value=MIN_DATE, max_value=date.today(), key="dx_date")
@@ -1729,7 +1726,7 @@ with tab_predict:
         df_inf = st.session_state.df_inf
         if df_inf is None:
             st.info("Upload an inference Excel to run batch prediction / external validation.")
-            st.stop()
+