Update app.py

app.py

@@ -1,7 +1,18 @@
-
+def classify(num):
+    if num<1:
+        return 'negative'
+    else:
+        return 'positive'
 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)
+    output=classify(pred[0])
+    if output=='negative':
+      return [(0,output)]
+    else:
+      return [(1,output)]
 preg = gr.inputs.Slider(minimum=0, maximum=17, default=2, label="Pregnancy")
 glu = gr.inputs.Slider(minimum=0, maximum=199, default=2, label="glucose")
 bp = gr.inputs.Slider(minimum=0, maximum=122, default=2, label="blood prussure")