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app.py
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import gradio as gr
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from fastai.vision.all import *
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import skimage
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learn = load_learner('model.pkl')
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categories = ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9')
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def classify_image(img):
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pred,idx,probs = learn.predict(img)
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return dict(zip(categories, map(float,probs)))
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image = gr.inputs.Image(shape=(100,100))
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label = gr.outputs.Label()
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title = "Sign Language Digit Classifier"
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description = "A sign language digit classifier trained on a Kaggle dataset with fastai. Created as a demo for fast.ai Part 1 v5 (2022)."
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examples = ['7.jpg','8.jpg','OK.jpg']
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interpretation='default'
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enable_queue=True
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gr.Interface(fn=classify_image,inputs=gr.inputs.Image(shape=(100, 100)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples).launch()
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