Update app.py

app.py

@@ -877,13 +877,13 @@ def molecule(
                   </button>
             </div>       
             <div class="text-sm">
-            <div> RMSD AlphaFold vs. native: <span id="rmsd"></span> Å computed using CEAlign on the aligned fragment</div>
+            <div> RMSD ESMFold vs. native: <span id="rmsd"></span> Å computed using CEAlign on the aligned fragment</div>
                                     </div>
             <div class="text-sm flex items-start">
                 <div class="w-1/2">
                         
                             <div class="font-medium mt-4 flex items-center space-x-2"><b>AF2 model of redesigned sequence</b></div>
-                            <div>AlphaFold model confidence:</div>
+                            <div>ESMFold model confidence:</div>
                             <div class="flex space-x-2 py-1"><span class="w-4 h-4" style="background-color: rgb(0, 83, 214);">&nbsp;</span><span class="legendlabel">Very high
                                     (pLDDT &gt; 90)</span></div>
                             <div class="flex space-x-2 py-1"><span class="w-4 h-4" style="background-color: rgb(101, 203, 243);">&nbsp;</span><span class="legendlabel">Confident
@@ -892,7 +892,7 @@ def molecule(
                                     pLDDT &gt; 50)</span></div>
                             <div class="flex space-x-2 py-1"><span class="w-4 h-4" style="background-color: rgb(255, 125, 69);">&nbsp;</span><span class="legendlabel">Very low
                                     (pLDDT &lt; 50)</span></div>
-                            <div class="row column legendDesc"> AlphaFold produces a per-residue confidence
+                            <div class="row column legendDesc"> ESMFold produces a per-residue confidence
                                 score (pLDDT) between 0 and 100. Some regions below 50 pLDDT may be unstructured in isolation.
                             </div>
                         </div>