Deploying model to HuggingFace Spaces

app.py

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+#!/usr/bin/env python3
+
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner("serif-sans.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))}
+
+
+title = "Font Classifier"
+description = "A font classifier trained on images from identifont.com with fastai. Created as a project for Week 2 of the 2022 FastAI course."
+article = ""  # Use in case I write a blogpost about this.
+examples = ["serif.gif", "sans.gif"]
+interpretation = "default"
+enable_queue = True
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=1),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    interpretation=interpretation,
+    enable_queue=enable_queue,
+).launch()

requirements.txt

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+fastai
+scikit-image

serif-sans.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9be943b9d45c13d1d1f91e7d4f3c82aabfa3812cb55640a69a6698d69d70f776
+size 46958443