first commit

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('../input/first-gradio-birds/export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)),examples=["bird.jpg"],outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f27c4ad0ad1af939ebb4fb8c77c8db3bf344a276f53d8c2747532d631bfed971
+size 46957675

requirements.txt

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+fastai