Update app.py

chanegd the li item

app.py

@@ -888,6 +888,8 @@ When the equivalent ratios are easy to compute (integral values), ER is much mor
 <p style="color: white;">To use the demo, please follow these steps:</p>
 
 <ol style="color: white;">
+    <li style="color: white;">Select a percentage of schools to analyze (selecting a large percentage may take a long time). Note that the selected percentage is applied to both High Graduation Rate (HGR) schools and Low Graduation Rate (LGR schools).
+    </li>
     <li style="color: white;">Select a fine-tuned model:
         <ul style="color: white;">
             <li style="color: white;">ASTRA-FT-HGR: Fine-tuned with 10 % data from schools that have a high graduation rate.</li>
@@ -896,8 +898,7 @@ When the equivalent ratios are easy to compute (integral values), ER is much mor
             <li style="color: white;">ASTRA-FT-Unified: Fine-tuned with 10% of initial problems from both HGR and LGR schools + Prior Skills + temporal features</li>
         </ul>
     </li>
-    <li style="color: white;">Select a percentage of schools to analyze (selecting a large percentage may take a long time). Note that the selected percentage is applied to both High Graduation Rate (HGR) schools and Low Graduation Rate (LGR schools).
-</li>
+
     <li style="color: white;">The results from the fine-tuned model are displayed in the dashboard:
         <ul>
             <li style="color: white;">The model accuracy is computed using the ROC-AUC metric.