Adilbai commited on
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501e4ed
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1 Parent(s): 59c1f3b

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -195,7 +195,7 @@ custom_css = """
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  }
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  .result-text {
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- background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
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  padding: 1.5rem;
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  border-radius: 10px;
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  border-left: 4px solid #667eea;
@@ -263,7 +263,7 @@ with gr.Blocks(css=custom_css, title="🛰️ EuroSAT Land Cover Classifier") as
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  # Footer
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  gr.HTML("""
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- <div style="text-align: center; margin-top: 3rem; padding: 2rem; background: #f8f9fa; border-radius: 10px;">
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  <h4>🔬 About This Model</h4>
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  <p>This classifier uses the <strong>Swin Transformer</strong> architecture trained on the <strong>EuroSAT dataset</strong>.</p>
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  <p>The EuroSAT dataset contains <strong>27,000 satellite images</strong> from <strong>34 European countries</strong>, covering <strong>10 different land cover classes</strong>.</p>
 
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  }
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  .result-text {
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+ background: #070605;
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  padding: 1.5rem;
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  border-radius: 10px;
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  border-left: 4px solid #667eea;
 
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  # Footer
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  gr.HTML("""
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+ <div style="text-align: center; margin-top: 3rem; padding: 2rem; background: #070605; border-radius: 10px;">
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  <h4>🔬 About This Model</h4>
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  <p>This classifier uses the <strong>Swin Transformer</strong> architecture trained on the <strong>EuroSAT dataset</strong>.</p>
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  <p>The EuroSAT dataset contains <strong>27,000 satellite images</strong> from <strong>34 European countries</strong>, covering <strong>10 different land cover classes</strong>.</p>