change

app.py

@@ -1,15 +1,18 @@
+import gradio as gr
 from fastai.vision.all import load_learner, get_image_files
 
-learn = load_learner('resnet18_bearclassifier.pkl')
+learn = load_learner('resnet18_bearclassifier_linux.pkl')
+
+# gradio UI
 
-#gradio UI
-import gradio as gr
 
 def classify_image(img):
     categories = ['brown', 'polar']
-    _,_, probability = learn.predict(img)
+    _, _, probability = learn.predict(img)
     return dict(zip(categories, map(float, probability)))
 
-app = gr.Interface(fn=classify_image, inputs='image', outputs='label', examples= list(get_image_files('valid')))
+
+app = gr.Interface(fn=classify_image, inputs='image',
+                   outputs='label', examples=list(get_image_files('valid')))
 app.launch()
 classify_image('images.jpg')