update...

app.py

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+from fastai.vision.all import *
+
+learn = load_learner('export.pkl')
+
+# searches = 'steve minecraft','herobrine minecraft'
+
+def sanity_check():
+    for o in searches:
+        category,_,probs = learn.predict(PILImage.create(f'{o}.jpg'))
+        print(f"This is a: {category}.")
+        print(f"Probability it's a {category}: {probs[0]:.4f}")
+
+# sanity_check()
+
+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))}
+
+import gradio as gr
+
+gr.Interface(
+    fn=predict, 
+    inputs=gr.inputs.Image(shape=(512, 512)), 
+    examples = [ 'steve minecraft.jpg', 'herobrine minecraft.jpg' ],
+    interpertation='default',
+    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 sha256:82f97f5ce3b14b71570a3a73c1fa1d1918842ac83acd1b59b9059773a1590def
+size 46967693

requirements.txt

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+fastai
+scikit-image