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app.py
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@@ -103,7 +103,7 @@ description = "A pretrained ResNet18 CNN trained on the Leeds Butterfly Dataset.
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examples = [['./h_erato.jpg'],['d_plexippus.jpg'],['v_cardui.jpg'],['p_cresphontes.jpg'],['p_rapae.jpg']]
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article_text = markdown.markdown('''
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<h1 style="color:white">PyTorch image classification - A pretrained ResNet18 CNN trained on the <a href="http://www.josiahwang.com/dataset/leedsbutterfly/">Leeds Butterfly Dataset</a></h1>
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<br>
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<p>The Leeds Butterfly Dataset consists of 832 images in 10 classes:</p>
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<ul>
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@@ -119,7 +119,7 @@ article_text = markdown.markdown('''
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<li>Vanessa cardui - Painted Lady</li>
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</ul>
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<br>
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<p>Part of a dissertation project. Author: <a href="https://github.com/ttheland">ttheland</a></p>
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''')
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iface = gr.Interface(
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examples = [['./h_erato.jpg'],['d_plexippus.jpg'],['v_cardui.jpg'],['p_cresphontes.jpg'],['p_rapae.jpg']]
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article_text = markdown.markdown('''
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<h1 style="color:white">PyTorch image classification - A pretrained ResNet18 CNN trained on the <a href="http://www.josiahwang.com/dataset/leedsbutterfly/" target="_blank">Leeds Butterfly Dataset</a></h1>
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<br>
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<p>The Leeds Butterfly Dataset consists of 832 images in 10 classes:</p>
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<ul>
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<li>Vanessa cardui - Painted Lady</li>
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</ul>
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<br>
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<p>Part of a dissertation project. Author: <a href="https://github.com/ttheland" target="_blank">ttheland</a></p>
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''')
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iface = gr.Interface(
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