Update main.py

main.py

@@ -43,11 +43,11 @@ async def predict(input:model_input):
        'Blood_Work_Result_2',' Blood_Work_Result_3', 'Body_mass_index',
        'Blood_Work_Result_4', 'Age']]
 
-XGB= Pipeline([
+    XGB= Pipeline([
     ("col_trans", full_pipeline),
     ("feature_selection", SelectKBest(score_func=f_classif, k='all')),
     ("model", BaggingClassifier(base_estimator=XGBClassifier(random_state=42)))
-])
+    ])
 
 #print(model_input)
     df = pd.DataFrame([input])