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app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+learn = load_learner("asl-baseline.pkl")
+
+labels = learn.dls.vocab
+
+def classify_asl(img):
+    img = PILImage.create(img)
+    pred,idx,probs  = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+image = gr.inputs.Image(shape = (128,128))
+label = gr.outputs.Label(num_top_classes=39)
+title = "ASL Classifier"
+interpretation='default'
+enable_queue=True
+
+iface = gr.Interface(fn=classify_asl, inputs=image, outputs=label,title=title,interpretation=interpretation,enable_queue=enable_queue)
+iface.launch(inline=False)

asl-baseline.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4f53a2595f61ef63cac3f7663de7542c0b50a3ca79f65852a36a1659d3da3419
+size 49298043

requirements.txt

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+fastai
+scikit-image