all files

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('../model.pkl')
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+ pred,idx,probs = learn.predict(img)
+ return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['../dog.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False, share=True)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:81a0bc41713ac98ef770b5ff77a38f554893033dcc2f5f2768e425e44bf61131
+size 47059883