Update app.py

app.py

@@ -1,6 +1,11 @@
 import gradio as gr
+import pickle
+import numpy as np
 
-loaded_model="xgboost-model.pkl"
+
+
+save_file_name="xgboost-model.pkl"
+loaded_model = pickle.load(open(save_file_name, 'rb'))
 def predict_death_event(age,	anaemia,	creatinine_phosphokinase	,diabetes	,ejection_fraction,	high_blood_pressure	,platelets	,serum_creatinine,	serum_sodium,	sex	,smoking	,time):
    input=[[age,	anaemia,	creatinine_phosphokinase	,diabetes	,ejection_fraction,	high_blood_pressure	,platelets	,serum_creatinine,	serum_sodium,	sex	,smoking	,time]]
    result=loaded_model.predict(input)