Add voice audio, capture and transcript, browser monitor, and DM UI

poc/scripts/stt-vosk.py

@@ -0,0 +1,51 @@
+#!/usr/bin/env python3
+"""Veskslop STT helper — transcribe a 16-bit mono WAV with Vosk on the CPU."""
+
+import json
+import os
+import sys
+import wave
+
+
+def main() -> int:
+    if len(sys.argv) < 2:
+        print("usage: stt-vosk.py <wav>", file=sys.stderr)
+        return 2
+
+    model_path = os.environ.get("VESKSLOP_VOSK_MODEL")
+    if not model_path:
+        print("VESKSLOP_VOSK_MODEL is not set", file=sys.stderr)
+        return 2
+
+    try:
+        from vosk import KaldiRecognizer, Model, SetLogLevel
+    except ImportError:
+        print("vosk is not installed (pip install vosk)", file=sys.stderr)
+        return 2
+
+    SetLogLevel(-1)
+    model = Model(model_path)
+
+    with wave.open(sys.argv[1], "rb") as wav:
+        if wav.getnchannels() != 1 or wav.getsampwidth() != 2:
+            print("input must be 16-bit mono WAV", file=sys.stderr)
+            return 2
+
+        recognizer = KaldiRecognizer(model, wav.getframerate())
+        parts = []
+
+        while True:
+            data = wav.readframes(4000)
+            if not data:
+                break
+            if recognizer.AcceptWaveform(data):
+                parts.append(json.loads(recognizer.Result()).get("text", ""))
+
+        parts.append(json.loads(recognizer.FinalResult()).get("text", ""))
+
+    print(" ".join(part for part in parts if part).strip())
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())