Fix _sort_snrs definition order for Space startup

app.py

@@ -42,6 +42,16 @@ JOINT_LABELS = [
     ("SNR25dB", "vehicular"),
 ]
 
+SNR_ORDER = ["SNR-5dB", "SNR0dB", "SNR5dB", "SNR10dB", "SNR15dB", "SNR20dB", "SNR25dB"]
+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)))
+
 
 def load_joint_mapping() -> Dict[str, object]:
     label_names = [f"{snr} | {mob}" for snr, mob in JOINT_LABELS]
@@ -718,15 +728,6 @@ COLOR_OPTIONS: Dict[str, str] = {
     "Modulation": "mod",
     "Mobility": "mob",
 }
-SNR_ORDER = ["SNR-5dB", "SNR0dB", "SNR5dB", "SNR10dB", "SNR15dB", "SNR20dB", "SNR25dB"]
-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 []
@@ -740,11 +741,6 @@ def update_modulation_choices(selected_tech: Optional[str]):
         choices = TECH_TO_MODS.get(selected_tech, mod_choices)
     return gr.Dropdown.update(choices=choices, value=None)
 
-
-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)))
-
 with gr.Blocks(title="LWM-Spectro Lab") as demo:
     gr.Markdown("# 🔬 LWM-Spectro Interactive Demo")
     gr.Markdown(