init

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+categories = ('Flower','Sunflower')
+
+def classify(img):
+    pred,_,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['images/0.png','images/1.png','images/2.png','images/3.png','images/4.png','images/5.png','images/6.png','images/7.png','images/8.png','images/9.png']
+
+iface = gr.Interface(fn=classify, inputs=image, outputs=label, examples=examples)
+iface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:324e57b74bf0eec3c1f9c1cf30d0d403d06ea39aa0ae69c7305934a287be47e3
+size 46955887