Update app.py

app.py

@@ -1,21 +1,7 @@
 
-
-
-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")