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Upload app.py with huggingface_hub

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  1. app.py +2 -1
app.py CHANGED
@@ -288,7 +288,8 @@ demo = gr.Interface(
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  <p style="color: var(--sds-color-text-primary); line-height: 1.6;">
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  This classifier helps researchers and data managers organize survey variables by automatically
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  categorizing them into subject areas. The model was trained on European Social Survey metadata
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- and can classify questions into <strong>19 categories</strong>:
 
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  </p>
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  <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 0.5rem; margin-top: 1rem;">
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  <span style="padding: 0.5rem; background: white; border-radius: 4px; font-size: 0.8rem; border-left: 3px solid #7d5da6;">📚 EDUCATION</span>
 
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  <p style="color: var(--sds-color-text-primary); line-height: 1.6;">
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  This classifier helps researchers and data managers organize survey variables by automatically
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  categorizing them into subject areas. The model was trained on European Social Survey metadata
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+ and can classify questions into <strong>19 major categories</strong> from the
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+ <a href="https://vocabularies.cessda.eu/vocabulary/TopicClassification" target="_blank" style="color: var(--sds-color-interaction-primary); text-decoration: none; font-weight: 600;">CESSDA Topic Classification</a>:
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  </p>
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  <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 0.5rem; margin-top: 1rem;">
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  <span style="padding: 0.5rem; background: white; border-radius: 4px; font-size: 0.8rem; border-left: 3px solid #7d5da6;">📚 EDUCATION</span>