adding two new models

app.py

@@ -80,6 +80,8 @@ def format_dataframe(df, show_percentage=False, selected_groups=None, compact_vi
             # ◆ for AFLOW (out-of-distribution relative to reference dataset)
             elif name == 'AFLOW':
                 symbols.append('◆')
+            elif name == 'CrystaLLM-pi':
+                symbols.append('✅')
 
             return f"{name} {' '.join(symbols)}" if symbols else name
 
@@ -361,6 +363,7 @@ Generative machine learning models hold great promise for accelerating materials
 
                 gr.Markdown("""
 **Symbol Legend:**
+- ✅ Model output verified
 - ⚡ Structures were already relaxed
 - ★ Contributes to LeMat-Bulk reference dataset (in-distribution)
 - ◆ Out-of-distribution relative to LeMat-Bulk reference dataset