modify app

app.py

@@ -6,17 +6,16 @@ learn = load_learner('hotdogmodel.pkl')
 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 {categories[i] : float(probs[i]) for i in range(len(categories))}
+  return dict(zip(categories, map(float,probs)))
+
+#def classify_image(img):
+#  pred,idx,probs = learn.predict(img)
+#  return {categories[i] : float(probs[i]) for i in range(len(categories))}
 
 image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label()
+label = gr.outputs.Label(meats=7)
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
 intf.launch(inline=False)