update

app.py

@@ -93,7 +93,7 @@ results_df_preprocessed.drop(columns=["report_type_code_II","report_type_code_IS
 results_df_preprocessed["police_district"]=results_df_preprocessed.apply(lambda x:unencode_police_district(x.police_district_Bayview,x.police_district_Central,x.police_district_Ingleside,x.police_district_Mission,x.police_district_Northern,x.police_district_OutOfSF,x.police_district_Park,x.police_district_Richmond,x.police_district_Southern,x.police_district_Taraval,x.police_district_Tenderloin),axis=1)
 results_df_preprocessed.drop(columns=["police_district_Bayview","police_district_Central","police_district_Ingleside","police_district_Mission","police_district_Northern","police_district_OutOfSF","police_district_Park","police_district_Richmond","police_district_Southern","police_district_Taraval","police_district_Tenderloin"],inplace=True)
 results_df_preprocessed["idx_temp"]=results_df_preprocessed.index
-results_df_preprocessed["incident_category_pred"]=y_pred[results_df_preprocessed.idx]
+results_df_preprocessed["incident_category_pred"]=y_pred[results_df_preprocessed.idx_temp]
 results_df_preprocessed.drop(columns=["idx_temp"],inplace=True)
 
 df = results_df_preprocessed