Fix categories

app.py

@@ -3,22 +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 = ('bratwurst1', 'chorizo1', 'hotdog1', 'kielbasa1', 'pepperoni1', 'salami1', 'sausage1')
+categories = ('bratwurst', 'chorizo', 'hotdog', 'kielbasa', 'pepperoni', 'salami', 'sausage')
 
 
 
 def classify_image(img):
-  pred,idx,probs = learn.predict(img)
+  pred,_,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))}
 
 image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label(num_top_classes=7)
+label = gr.outputs.Label()
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
 intf.launch(inline=False)