'Let's try this'

LeopardCheetah.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:20489459d404e8699b79d9bc9f2b60fd77fa6413f1d583ed26b79084dc33d748
+size 46994401

app.py

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+#|export
+
+from fastcore.all import *
+from fastai.vision.all import *
+from fastbook import load_learner
+import gradio as gr
+
+inf = load_learner('LeopardCheetah.pkl')
+
+categories = ('Cheetah','Images','Leopard')
+
+def classify_img(img):
+    pred, idx, probs = inf.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+    #|export
+
+#This creates the gradio interface
+
+image = gr.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+examples = ['cheetah.jpg','leopard.jpg','img.jpg']
+
+intf = gr.Interface(fn = classify_img, inputs=image,outputs=label,examples = examples)
+
+intf.launch(inline=False)