app.py

app.py

@@ -1,22 +1,20 @@
 from fastai.vision.all import *
 import gradio as gr
 
-def is_teddy(x): return x[0].isupper()
-
 # Cell
-learn = load_learner('model.pk1')
+learn = load_learner('model.pkl')
 
 # Cell
-categories = ('Teddy', 'Grizzly')
+categories = learn.dls.vocab
 
 def classify_image(img):
-    pred,idx,probs = learn. predict(img)
+    pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float, probs) ))
 
 # Cell
-image = gr.inputs. Image(shape=(192, 192))
-label = gr. outputs.Label()
-examples = ['teddy.webp', 'grizzly.jpg', 'black.webp']
+image = gr.components.Image()
+label = gr.components.Label()
+examples = ['teddy.webp', 'grizzly.jpg', 'black.webp', 'polar.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)

model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e09a5c266b5956bdb8a8fb2b4c1e23c8295b77d664c822ff2d321875670ff9ca
-size 46969150
+oid sha256:e14c5d86dd7855ee29ea8706c75b6043e6bd500dae4b653660255871cdf413a7
+size 46968077