Update app.py

app.py

@@ -6,7 +6,7 @@ import numpy as np
 import cv2
 import tensorflow as tf
 import h5py
-def sepia(img,plant_type):
+def analyse(img,plant_type):
     label_disease = {
         0 : 'Apple___Apple_scab',
         1 : 'Apple___Black_rot',
@@ -88,8 +88,8 @@ def sepia(img,plant_type):
     print(label_disease[indx],y_pred[0][indx],label_disease[max_prob_indx],y_pred[0][max_prob_indx])
     return int(indx),max_prob_indx,label_disease[indx],y_pred[0][indx],label_disease[max_prob_indx],y_pred[0][max_prob_indx]
 
-demo = gr.Interface(sepia, 
+demo = gr.Interface(analyse, 
                     [gr.Image(),gr.Radio(["Apple","Blueberry","Cherry","Corn","Grape","Orange","Peach","Pepper","Potato","Raspberry","Soybean","Squash","Strawberry","Tomato"])],
                     ["number","number","text","number","text","number"],
                    )
-demo.launch(share=True,show_error=True)
+demo.launch(share=True,show_error=True)