first

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner("model.pkl")
+
+categories = ["Lala", "02"]
+
+
+def classify_img(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(128, 128))
+label = gr.outputs.Label()
+examples = ["lala.png", "02.jpg"]
+
+title = "02 or lala classifier"
+
+iface = gr.Interface(
+    fn=classify_img,
+    inputs=image,
+    outputs=label,
+    examples=examples,
+    title=title,
+)
+iface.launch(inline=False)

requirements.txt

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+fastai