Update app.py

app.py

@@ -120,8 +120,8 @@ def predict(data: OneHotPatientData):
         logger.info(f"Incoming data: {input_dict}")
 
         feature_order = [
-            'age', 'bmi', 'cholesterol_level', 'hypertension', 'asthma', 
-            'cirrhosis', 'other_cancer', 'gender_Male', 
+            'age', 'bmi', 'cholesterol_level', 'hypertension', 'asthma',
+            'cirrhosis', 'other_cancer', 'gender_Male',
             'country_Belgium','country_Bulgaria','country_Croatia','country_Cyprus',
             'country_Czech_Republic','country_Denmark','country_Estonia','country_Finland',
             'country_France','country_Germany','country_Greece','country_Hungary',
@@ -131,7 +131,7 @@ def predict(data: OneHotPatientData):
             'country_Spain','country_Sweden',
             'cancer_stage_Stage_II','cancer_stage_Stage_III','cancer_stage_Stage_IV',
             'family_history_Yes',
-            'smoking_status_Former_Smoker','smoking_status_Never_Smoked','smoking_status_Passive_Smoker',
+            'smoking_status_Former_Smoker','smoking_status_Never_Smoker','smoking_status_Passive_Smoker',
             'treatment_type_Combined','treatment_type_Radiation','treatment_type_Surgery'
         ]
 
@@ -152,4 +152,4 @@ def predict(data: OneHotPatientData):
 
     except Exception as e:
         logger.error(f"Prediction error: {str(e)}")
-        return {"error": str(e), "input_data_received": data.dict()}
+        return {"error": str(e), "input_data_received": data.dict()}