Add SxCP Audio Wave + Segments: interactive waveform node (upload/play/click-segments)

New node with a JS widget (web/audio_wave.js): upload an audio clip, play it, and click
the waveform to place segment boundaries (click add / drag move / dblclick note /
shift|right-click delete). Boundaries+notes serialize to a hidden segments_json that
drives Python segmentation (falls back to auto-split / notes syntax). Python node
(nodes/audio_wave_segments.py) loads the file (torchaudio/soundfile/librosa), builds
segments from the boundaries, and outputs waveform_image + audio_summary + AUDIO — same
contract as Audio Prompt Guide, so it feeds chat mode the same way. _attach_notes now
merges (keeps clicked notes). WEB_DIRECTORY re-enabled. JS is a first cut — needs testing
in ComfyUI (console logs on error); the Python node works standalone via segments_json/notes.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

README.md

@@ -101,6 +101,16 @@ seg1: slow dreamy intro          # by segment number (also "1:" or "S1:")
 cinematic, moody grade           # no prefix = global (applies throughout)
 ```
 
+### Interactive: `SxCP Audio Wave + Segments`
+
+Same outputs, but with an in-node waveform widget: **upload** an audio clip, **play** it,
+and **click the waveform** to place segment boundaries — click to add a split, drag to
+move, double-click a segment for its note, shift/right-click to delete. The boundaries +
+notes are saved to a hidden `segments_json` and drive the segmentation (falls back to
+auto-split / the `notes` syntax if none placed). Outputs `waveform_image`, `audio_summary`,
+and `audio`. Needs `torchaudio`/`soundfile`/`librosa` to load the file (torchaudio usually
+ships with torch).
+
 ## Performance / speed
 
 This node runs models through **transformers `.generate()`** — the simplest path, but the