Create app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.pkl')
+
+categories = ['alaskan malamute', 'gray wolf', 'siberian husky', 'swedish vallhund']
+
+#|export 
+
+def classify_images(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+#|export
+
+image = gr.inputs.Image(shape=(128,128))
+label = gr.outputs.Label()
+examples = ['siberian_jusky.jpg','alaskan_malmute.jpg','swedish_vallhund.jpg','gray_wolf.jpg']
+
+#|export
+
+intf = gr.Interface(fn=classify_images,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)
+