Tweak app

app.py

@@ -3,13 +3,17 @@ import gradio as gr
 
 learn = load_learner('hotdogmodel.pkl')
 
-#categories = ('sausage', 'hotdog', 'pepperoni', 'salami', 'chorizo', 'bratwurst', 'kielbasa')
-categories = ('kielbasa', 'pepperoni', 'chorizo', 'bratwurst', 'hotdog', 'sausage', 'salami')
+categories = ('sausage', 'hotdog', 'pepperoni', 'salami', 'chorizo', 'bratwurst', 'kielbasa')
+#categories = ('kielbasa', 'pepperoni', 'chorizo', 'bratwurst', 'hotdog', 'sausage', 'salami')
 
 
+#def classify_image(img):
+ # pred,idx,probs = learn.predict(img)
+  #return dict(zip(categories, map(float,probs)))
+
 def classify_image(img):
   pred,idx,probs = learn.predict(img)
-  return dict(zip(categories, map(float,probs)))
+  return {categories[i] : float(probs[i]) for i in range(len(categories))}
 
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()