build

app.py

@@ -3,7 +3,9 @@ import gradio as gr
 
 learn = load_learner('export.pkl')
 
-catagories = 'apple','barn owl','guacamole','parrot',
+#catagories = 'apple','barn owl','guacamole','parrot',
+catagories = ["white tiger", "bengal tiger", "cheetah", "dog", "jackal", "horse", "donkey", "rose", "Shoeblackplant",  "Lychee",  "strawberry"]
+catagories.sort()
 
 def classify_img(img):
     pred_class,pred_idx,probs = learn.predict(img)
@@ -11,7 +13,7 @@ def classify_img(img):
 
 image = gr.inputs.Image(shape=(256,256))
 label = gr.outputs.Label()
-examples = ['apple.png','owl.png','parrot.png','guacamole.png']
+#examples = ['apple.png','owl.png','parrot.png','guacamole.png']
 
-intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label,)# examples=examples)
 intf.launch()