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app.py

@@ -102,6 +102,8 @@ def plot_tsne(tech_filter, snr_filter, mod_filter, mob_filter, representation, c
     try:
         tsne = TSNE(**tsne_kwargs)
         projections = tsne.fit_transform(features)
+        if not np.isfinite(projections).all():
+            raise ValueError("t-SNE produced NaN/Inf projections")
         status_msg = f"t-SNE ok ({len(filtered_df)} samples)."
     except Exception as e:
         # Fallback to 2D PCA so we always show something
@@ -143,7 +145,7 @@ def quick_modulation_plot():
         mob_filter=None,
         representation="LWM Embedding",
         color_by="mod",
-        perplexity=10,
+        perplexity=5,
         n_iter=750,
     )