Reflow intro copy and simplify spectrogram blurb

README.md

@@ -12,7 +12,9 @@ short_description: 'Exploring spectrograms, LWM embedding, and its evaluations.'
 
 # LWM-Spectro Lab
 
-Interactive lab for exploring **LWM spectrogram embeddings** on Sub-6 GHz I/Q baseband data. Browse the bundled DeepMIMO-derived samples (LTE / WiFi / 5G, 128×128 spectrograms, 10.5k total), compare LWM embeddings against raw spectrogram vectors, and probe precomputed MoE embeddings for joint SNR/mobility.
+Interactive lab for exploring **LWM spectrogram embeddings** on Sub-6 GHz I/Q baseband data.
+Browse the bundled DeepMIMO-derived samples (LTE / WiFi / 5G, 128×128 spectrograms, 10.5k total),
+compare LWM embeddings against raw spectrogram vectors, and probe precomputed MoE embeddings for joint SNR/mobility.
 
 **What you get**
 - **Data slices:** LTE / WiFi / 5G Sub-6 GHz I/Q baseband spectrograms with modulation, SNR, and mobility labels; 500 samples per SNR per tech (7 SNRs).

app.py

@@ -745,9 +745,9 @@ with gr.Blocks(title="LWM-Spectro Lab") as demo:
     gr.Markdown("# 🔬 LWM-Spectro Interactive Demo")
     gr.Markdown(
         """
-    Interactive lab for exploring **LWM spectrogram embeddings** on Sub-6 GHz I/Q baseband data. Browse the bundled
-    DeepMIMO-derived samples (LTE / WiFi / 5G, 128×128 spectrograms, 10.5k total), compare LWM embeddings against raw
-    spectrogram vectors, and probe precomputed MoE embeddings for joint SNR/mobility.
+    Interactive lab for exploring **LWM spectrogram embeddings** on Sub-6 GHz I/Q baseband data.
+    Browse the bundled DeepMIMO-derived samples (LTE / WiFi / 5G, 128×128 spectrograms, 10.5k total),
+    compare LWM embeddings against raw spectrogram vectors, and probe precomputed MoE embeddings for joint SNR/mobility.
 
     **What you get**
     - **Data slices:** LTE / WiFi / 5G Sub-6 GHz I/Q baseband spectrograms with modulation, SNR, and mobility labels; 500 samples per SNR per tech (7 SNRs).