LETS GOO

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn_inf = load_learner('export.pkl')
+categories = ('radiohead', 'voidkandy', 'king_gizzard')
+def classify_specs(img):
+    pred, idx, probs = learn_inf.predict(img)
+    return dict(zip(categories, map(float,probs)))
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_specs, inputs=image, outputs=label)
+intf.launch(inline=False)