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app.py

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+from fastai.vision import *
+import gradio as gr
+from fastbook import *
+import os
+import glob
+
+def classify_digit_type(img):
+    name = os.path.basename(os.path.normpath(img))
+    return name[0]
+
+learn = load_learner('model.pkl')
+
+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.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7806f6be9acd4d18e80d5140ccd1c85fb265574f39b8439d2a5467c5b5f5754b
+size 47802065

requirements.txt

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+fastai
+fastbook