Update app.py

app.py

@@ -1390,14 +1390,9 @@ with proteinMPNN:
             gr.HTML(
                 """
             <div class="flex items-center p-2 bg-gradient-to-r from-yellow-400 via-red-500 to-pink-500 rounded-lg shadow-sm">
-                <div class="p-3 mr-4">
-                <svg class="w-10 h-10 px-1 text-400" viewBox="0 0 16 16">
-                    <path fill-rule="evenodd" d="M1.75 1.5a.25.25 0 00-.25.25v9.5c0 .138.112.25.25.25h2a.75.75 0 01.75.75v2.19l2.72-2.72a.75.75 0 01.53-.22h6.5a.25.25 0 00.25-.25v-9.5a.25.25 0 00-.25-.25H1.75zM0 1.75C0 .784.784 0 1.75 0h12.5C15.216 0 16 .784 16 1.75v9.5A1.75 1.75 0 0114.25 13H8.06l-2.573 2.573A1.457 1.457 0 013 14.543V13H1.75A1.75 1.75 0 010 11.25v-9.5zM9 9a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path>
-                </svg>
-                </div>
                 <div>
                 <p class="text-base text-gray-700 dark:text-gray-200">
-                    AF2 code is experimental and relies on @sokrypton's trick to speed up compile/module runtime. Results might differ from DeepMind's published results.
+                    Results might differ from DeepMind's published results.
                     Predictions are made using <code>model_5_ptm</code> and without MSA based on the selected single sequence (<code>designed_chain</code> + <code>fixed_chain</code>).
                 </p>
                 </div>