Update app.py

app.py

@@ -16,14 +16,14 @@ def predicter(SpO2, Age, Weight, Height, Temperature, Gender, Race):
                               early_stopping_rounds = 0,
                                scale_pos_weight=1)
     '''
+    loaded_models = []
     with open('HH_ensemble_classifier_online.json', 'r') as file:
-    model_data = json.load(file)
-    for item in model_data:
-        index = item['index']
-        model = pickle.loads(item['model'].encode('latin1'))
-        loaded_models.append(model)
-
-    classifier_list = loaded_models
+        model_data = json.load(file)
+        for item in model_data:
+            index = item['index']
+            model = pickle.loads(item['model'].encode('latin1'))
+            loaded_models.append(model)
+    
     '''
     xgb_reg.load_model('classifier_fewer_features_HH.json')
 '''
@@ -40,9 +40,9 @@ def predicter(SpO2, Age, Weight, Height, Temperature, Gender, Race):
     user_input[cat_features] = user_input[cat_features].copy().astype('category')
 
 
-    predictions = np.zeros((len(classifier_list),2))
-    for i in range(len(classifier_list)):
-        predictions[i] = classifier_list[i].predict_proba(user_input[cont_features + cat_features])
+    predictions = np.zeros((len(loaded_models),2))
+    for i in range(len(loaded_models)):
+        predictions[i] = loaded_models[i].predict_proba(user_input[cont_features + cat_features])
     averaged_prediction = predictions.mean(axis=0)
     '''
     pred = xgb_reg.predict_proba(user_input)