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app.py
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@@ -42,8 +42,8 @@ def predict(img):
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### 4. Gradio App ###
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# Create interface for gradio
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title = 'SkinGuard'
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description = 'An AI model that can predict whether a CLOSE-UP picture of skin is normal or shows a sign of Skin Cancer
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article = 'This is our demo for the DEDA Entrepreneurship Competition 2024. Created by Imran, Brian, Lukas, and Rohit, all in Baez CSE Period 5. \n IMPORTANT NOTE: If you have followed the instruction in the description of this demo and STILL get malignant results constantly, do NOT take it as an official diagnosis. Contact a healthcare professional for more information if you are concerned.'
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# Create examples list
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example_list = [['examples/' + example] for example in os.listdir('examples')]
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### 4. Gradio App ###
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# Create interface for gradio
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title = 'SkinGuard'
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description = 'An AI model that can predict whether a CLOSE-UP picture of skin is normal or shows a sign of Skin Cancer.\n\nINSTRUCTIONS:\n\n 1. Take a picture of the target area\n\n 2. IMPORTANT: Crop the image to ONLY show skin lesion / target area.'
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article = 'This is our demo for the DEDA Entrepreneurship Competition 2024. Created by Imran, Brian, Lukas, and Rohit, all in Baez CSE Period 5. \n\n IMPORTANT NOTE: If you have followed the instruction in the description of this demo and STILL get malignant results constantly, do NOT take it as an official diagnosis. Contact a healthcare professional for more information if you are concerned.'
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# Create examples list
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example_list = [['examples/' + example] for example in os.listdir('examples')]
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