Update app.py
Browse files
app.py
CHANGED
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@@ -5,12 +5,11 @@ import pathlib
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plt = platform.system()
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if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
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def old_or_not(x):
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return x[0].isupper()
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learn = load_learner('model.pkl')
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categories = ['New_car', 'Old_car']
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@@ -18,9 +17,26 @@ 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=(192, 192))
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label = gr.outputs.Label()
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examples = ['new_car_2.jpg', 'new_car_4.jpg', 'old_car_7.jpg', 'old_car_12.jpg']
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plt = platform.system()
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if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
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def old_or_not(x):
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return x[0].isupper()
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# Assuming 'model.pkl' is in the same directory as this script
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learn = load_learner('model.pkl') # Replace with the appropriate path if needed
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categories = ['New_car', 'Old_car']
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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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# Use Image component with correct shape argument
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image = gr.inputs.Image(shape=(192, 192))
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label = gr.outputs.Label()
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examples = [
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'new_car_2.jpg',
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'new_car_4.jpg',
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'old_car_7.jpg',
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'old_car_12.jpg',
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]
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# Improved interface creation for clarity
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interface = gr.Interface(
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fn=classify_image,
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inputs=image,
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outputs=label,
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examples=examples,
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title="Image Classification", # Optional title for the interface
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description="Classify an image as 'New_car' or 'Old_car'", # Optional description
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)
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# Launch the interface
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interface.launch(inline=False)
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