Upload app.py

app.py

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+import gradio
+from fastai.vision.all import *
+
+lern = load_learner('model.pkl')
+
+labels = learn.dls.vocab
+
+def predict(img):
+    pred,idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i,_ in enumarate(labels))}
+
+image = gr.inputs.Image(shape(256,256))
+label = gr.outputs.Label()
+examples = ['house1.jpg','house2.jpg','house3.jpg','house4.jpg','house5.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+
+intf.launch()