Create app.py

app.py

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+import gradio as pr
+from huggingface_hub import from_pretrained_fastai
+
+hf_learn = from_pretrained_fastai("CarlosChcn/Pieridae_Classifier")
+
+learn = hf_learn
+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))}
+
+gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=5)).launch(share=True)