let's deploy to huggingface spaces

app.py

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+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+# labels = learn.dls.vocab
+labels = ('Shaheen', 'Saker')
+
+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))}
+
+import gradio as gr
+
+examples = ['shaheen.jpg', 'saker.jpg']
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True)
+

falcon-classifier

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+Subproject commit 3dae6cc4e25a807b9317ae810781155cb822e468

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:387189eabe2579df55b2d12e01557df41bf6e92815b433958d5b545dfe51e1fa
+size 46953711

requirements.txt

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+fastai