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Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -103,7 +103,7 @@ def analizar_lesion_combined(img):
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  <tr><td>馃К Fast.ai (clasificaci贸n)</td><td><b>{pred_fast_type}</b></td><td>N/A</td></tr>
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  <tr><td>鈿狅笍 Fast.ai (malignidad)</td><td><b>{"Maligno" if prob_malignant > 0.5 else "Benigno"}</b></td><td>{prob_malignant:.1%}</td></tr>
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  <tr><td>馃敩 ISIC TensorFlow</td><td><b>{pred_class_isic}</b></td><td>{confidence_isic:.1%}</td></tr>
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- </table><br><b>馃┖ Recomendaci贸n autom谩tica:</b><br>"""
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  cancer_risk_score = sum(probs_vit[i] * RISK_LEVELS[i]['weight'] for i in range(7))
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  if prob_malignant > 0.7 or cancer_risk_score > 0.6:
 
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  <tr><td>馃К Fast.ai (clasificaci贸n)</td><td><b>{pred_fast_type}</b></td><td>N/A</td></tr>
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  <tr><td>鈿狅笍 Fast.ai (malignidad)</td><td><b>{"Maligno" if prob_malignant > 0.5 else "Benigno"}</b></td><td>{prob_malignant:.1%}</td></tr>
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  <tr><td>馃敩 ISIC TensorFlow</td><td><b>{pred_class_isic}</b></td><td>{confidence_isic:.1%}</td></tr>
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+ </table><br><b>馃Ш Recomendaci贸n autom谩tica:</b><br>"""
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  cancer_risk_score = sum(probs_vit[i] * RISK_LEVELS[i]['weight'] for i in range(7))
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  if prob_malignant > 0.7 or cancer_risk_score > 0.6: