Add initial data

app.py

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+from fastai.vision.all import *
+from huggingface_hub import push_to_hub_fastai, from_pretrained_fastai
+import gradio as gr
+
+#learner = from_pretrained_fastai("kolkhi/bears")
+learner = load_learner("model.pkl")
+
+categories = learner.dls.vocab
+def classify_bear(img):
+    img_new = PILImage.create(img)
+    img_new.resize((128,128))
+    pred,idx,probs=learner.predict(img_new)
+    return dict(zip(categories, map(float,probs)))
+
+
+image = gr.components.Image(width=192,height=192)
+label = gr.components.Label()
+examples=["deer.jpg", "wolf.jpg", "car.jpg", "ship.jpg"] 
+
+iface = gr.Interface(fn=classify_bear, inputs=image,  outputs=label, examples=examples)
+iface.launch(inline=False, share=True)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8975a114468962ec376688f28dede643a8d6c6537862c1e56da0198ed951091d
+size 102979586

requirements.txt

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+toml
+fastai==2.7.18
+fastbook==0.0.29
+fastcore==1.7.27
+scikit-image