Upload 3 files

app.py

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+__all__ = ['learn','classify_image','categories','image','label','examples','intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+# Cell
+learn = load_learner('handpose.pkl')
+
+# Cell
+categories = ('call', 'dislike', 'fist', 'four', 'like', 'mute', 'ok', 'one', 'palm', 'peace', 
+    'peace_inverted', 'rock', 'stop', 'stop_inverted', 'three', 'three2', 'two_up', 'two_up_inverted')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# Cell
+image = gr.inputs.Image(shape=(192,192),source='webcam')
+label = gr.outputs.Label()
+#examples = ['beyonce-ok.jpg','dalai-lama-one.jpg']
+
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)

handpose.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ae10ad0053e07306173de79a2fe67b1391edf5722d45ce1d6512de6b270073df
+size 47033899

requirements.txt

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+fastai