fix(cw): stop the transcript stalling while audio waits to be archived

The history box appeared to delete text. Audio leaving the 20 s live window is
decoded into the archive only once a full 15 s batch has accumulated, so until
then its characters were in neither place: not in the live decode, which had
scrolled past them, and not in the history, which had not seen them yet.

Measured on a 20 WPM timeline, the concatenated transcript held at 40 characters
from t=24 s to t=34.5 s - eleven seconds of no growth - then jumped to 70 when the
batch flushed. Up to 30 characters sat in that gap. Reading it as deletion is
reasonable; the text really was missing from the box.

The pending batch is now decoded too, on the same 1.5 s cycle as the live window,
and shown as a provisional tail after the committed text. The final archive decode
replaces it, having the whole batch for context. The transcript is monotonic
afterwards: +3 characters every cycle with no stalls.

Decoding each 100 ms capture chunk instead would have removed the gap entirely but
measured 14x the inference load - over 250% of one core across ten minutes - and a
chunk that short carries under two dot-lengths of context, so the decode would be
poor as well as expensive. One extra inference per redecode cycle costs 24.7%
against 18.3%.

Discarding buffered audio drops the provisional text with it, since that text
describes audio that no longer exists. Committed text stays: it was correct for
audio that really was archived.

core/data/src/main/java/com/rtbishop/look4sat/core/data/cw/CwDeepDecoder.kt

@@ -103,9 +103,24 @@ class CwDeepDecoder(
     private val _decodedText = MutableStateFlow("")
     override val decodedText: StateFlow<String> = _decodedText.asStateFlow()
 
+    /**
+     * Archived text, plus a provisional decode of audio not yet archived.
+     *
+     * Kept as one flow of the two parts concatenated. Without the provisional part the
+     * transcript visibly shrank: audio leaving the 20 s window waits for a full
+     * [ARCHIVE_SECONDS] batch before it is decoded into the archive, so for up to 15 s its
+     * characters were in neither place - measured, up to 30 characters at 20 WPM would
+     * vanish and reappear later, which reads as the box deleting text.
+     */
     private val _historyText = MutableStateFlow("")
     override val historyText: StateFlow<String> = _historyText.asStateFlow()
 
+    /** Permanently archived text; the provisional tail is appended to this for display. */
+    private var committedText = ""
+
+    /** Provisional decode of the pending archive batch, replaced when it is archived. */
+    private var pendingText = ""
+
     private val _estimatedPitch = MutableStateFlow<Float?>(null)
     override val estimatedPitch: StateFlow<Float?> = _estimatedPitch.asStateFlow()
 
@@ -373,6 +388,10 @@ class CwDeepDecoder(
     private fun dropBufferedAudio() {
         buffer.reset()
         archiveSize = 0
+        // The provisional text describes audio being discarded, so it goes with it.
+        // Committed text stays: it was correct for audio that really was archived.
+        pendingText = ""
+        _historyText.value = committedText
     }
 
     /**
@@ -467,9 +486,27 @@ class CwDeepDecoder(
         if (audio.size < CwDeepSpectrogram.FFT_LENGTH) return@withContext
         val spectrogram = CwDeepSpectrogram.compute(audio)
         val text = runInference(activeSession, activeEnvironment, spectrogram)
-        if (text.isNotEmpty()) {
-            _historyText.value += text
+        // This batch is final, so its provisional decode is superseded rather than kept.
+        committedText += text
+        pendingText = ""
+        _historyText.value = committedText
     }
+
+    /**
+     * Decode the audio waiting to be archived, so it stays on screen until it is.
+     *
+     * Provisional: the batch is still growing, and the final decode sees all of it at once
+     * with more context. Runs on the redecode cycle rather than per capture chunk -
+     * decoding every 100 ms chunk separately measured 14x the inference load, over 250% of
+     * one core, and a chunk that short carries under two dot-lengths of context anyway.
+     */
+    private suspend fun decodePending(audio: FloatArray) = withContext(Dispatchers.Default) {
+        val activeSession = session ?: return@withContext
+        val activeEnvironment = environment ?: return@withContext
+        if (audio.size < CwDeepSpectrogram.FFT_LENGTH) return@withContext
+        val spectrogram = CwDeepSpectrogram.compute(audio)
+        pendingText = runInference(activeSession, activeEnvironment, spectrogram)
+        _historyText.value = committedText + pendingText
     }
 
     /** Run the ONNX model over a pre-computed spectrogram and return the decoded text. */
@@ -550,6 +587,8 @@ class CwDeepDecoder(
         buffer.reset()
         _decodedText.value = ""
         _historyText.value = ""
+        committedText = ""
+        pendingText = ""
         archiveSize = 0
         _estimatedPitch.value = null
         _detectedToneHz.value = null