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app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+
+learn = load_learner("model.pkl")
+categories = ["Osprey", "Bald Eagle"]
+
+def classify(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()
+
+iface = gr.Interface(fn=classify, inputs=image, outputs=label)
+iface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3f3f94ee9d8172934f2e8336f9425d3bc7e1653a2ee3eb36263af0bf89be8f79
+size 46963718

requirements.txt

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+fastai
+scikit_learn