Update app.py

app.py

@@ -1,17 +1,17 @@
-import gradio as gr
 from fastai.vision.all import *
-import skimage
+import gradio as gr
 
 learn = load_learner('model.pkl')
+categories = ('Sonic the Hedgehog', 'Doutor Eggman')
 
-examples = ['sonic.jpg', 'eggman.jpg']
-
-
-labels = learn.dls.vocab
 def predict(img):
-    img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.Image()
+label = gr.Label()
+
+examples = ['sonic.jpg', 'eggman.jpg']
 
 title = "Sonic the Hedgehog and Doutor Eggman"
 description = "Classificador entre o Sonic e o Doutor Eggman"
@@ -19,11 +19,13 @@ examples = ['sonic.jpg', 'eggman.jpg']
 interpretation='default'
 enable_queue=True
 
-gr.Interface(fn=predict,
-             inputs=gr.Interface.Inputs.Image(shape=(512, 512)),
-             outputs=gr.outputs.Label(num_top_classes=2),
+iface = gr.Interface(fn=predict,
+             inputs=image,
+             outputs=label,
              title=title,
              description=description,
              examples=examples,
              interpretation=interpretation,
-             enable_queue=enable_queue).launch(share=True)
+             enable_queue=enable_queue)
+
+iface.launch(inline=False)