Clarify modulation task uses spectrogram inputs per tech

app.py

@@ -889,7 +889,7 @@ with gr.Blocks(title="LWM-Spectro Lab") as demo:
             gr.Markdown(
                 """
             ### 🎯 Lightweight Modulation Head
-            - Prototype how well the frozen LWM backbone separates modulation formats for each technology.
+            - Prototype how well the frozen LWM backbone separates modulation formats for each technology using spectrograms as input.
             - The adaptive k-NN classifier approximates the behavior of the downstream residual 1D-CNN before heavy training.
             - Sweep train/test splits and seeds to gauge robustness when only a portion of the dataset is labeled.
             """