Update app.py

app.py

@@ -1,7 +1,9 @@
 from sklearn.linear_model import LogisticRegression
-
+import pickle
 LR=LogisticRegression()
 
+pickle.dump(LR,open('model.pkl','wb'))
+model = pickle.load(open('model.pkl','rb'))
 
 def classify(num):
     if num<1:
@@ -12,7 +14,7 @@ import gradio as gr
 import numpy as np
 def predict_diabetes(preg,glu,bp,st,ins,bmi,dpf,age):
     input_array=np.array([[preg,glu,bp,st,ins,bmi,dpf,age]])
-    pred=LR.predict(input_array)
+    pred=model.predict(input_array)
     output=classify(pred[0])
     if output=='negative':
       return [(0,output)]