Fix SNR sorting init order

app.py

@@ -723,6 +723,10 @@ TECH_EXPERT_ORDER = ["LTE", "WiFi", "5G"]
 TECH_TO_EXPERT_IDX = {name: idx for idx, name in enumerate(TECH_EXPERT_ORDER)}
 DEFAULT_TSNE_SAMPLES_PER_SNR = 500
 
+def _sort_snrs(labels: List[str] | np.ndarray) -> List[str]:
+    ordering = {snr: idx for idx, snr in enumerate(SNR_ORDER)}
+    return sorted(labels, key=lambda x: ordering.get(x, len(ordering)))
+
 default_tech = tech_choices[:1] if tech_choices else []
 initial_spec_mod_choices = TECH_TO_MODS.get(default_tech[0], mod_choices) if default_tech else mod_choices
 evaluation_disabled = (not has_moe_embeddings) or joint_eval_df.empty