tyler cross
commited on
Commit
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2567e9f
1
Parent(s):
f0e2e89
Added correct file pathing
Browse files- __pycache__/app.cpython-311.pyc +0 -0
- app.py +16 -4
__pycache__/app.cpython-311.pyc
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Binary files a/__pycache__/app.cpython-311.pyc and b/__pycache__/app.cpython-311.pyc differ
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app.py
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@@ -2,17 +2,29 @@ import gradio as gr
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from fastai.vision.all import load_learner
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from PIL import Image
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model = load_learner('
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def classify_image(img):
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# Convert the image to a format the model expects
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img = Image.fromarray(img.astype('uint8'), 'RGB')
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# Make a prediction
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# Return the result
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return {model.dls.vocab[i]: float(probs[i]) for i in range(len(model.dls.vocab))}
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demo = gr.Interface(
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if __name__ == "__main__":
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demo.launch()
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from fastai.vision.all import load_learner
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from PIL import Image
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model = load_learner('export.pkl')
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def classify_image(img):
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"""Classifies an image according to three categories: dung beetle, elephant, or dolphin.
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Args:
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img (any): Any image will be converted to expected type.
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Returns:
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_type_: Probabilies according to the three types.
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"""
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# Convert the image to a format the model expects
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img = Image.fromarray(img.astype('uint8'), 'RGB')
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# Make a prediction
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probs = model.predict(img)
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# Return the result
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return {model.dls.vocab[i]: float(probs[i]) for i in range(len(model.dls.vocab))}
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demo = gr.Interface(
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fn=classify_image,
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inputs = gr.Image(
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label = 'Upload an image of a dung beetle, a dolphin, or an elephant!'),
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outputs="label")
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if __name__ == "__main__":
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demo.launch()
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