v1.3.0: large-v3 + hallucination filter (2026-07-24)

IT狗今日升級嘅 transcribe server:
- Model: large-v3-turbo → large-v3 (+2-3% Cantonese WER improvement)
- Compute: cpu + int8 (MPS fp16 unstable for large-v3 on 16GB Mac)
- Beam: 5 → 1 (greedy, ~30-40% speedup)
- Added: condition_on_previous_text=False (anti-hallucination chain)
- Added: compression_ratio_threshold=2.4 (repetitive noise filter)
- Added: no_speech_threshold=0.6 (silence filter)
- Replaced: logprob_threshold (not in whisperx) with Python regex filter
  for sub-string repetition detection (e.g. '对,有自己的监控,IP' × 20)
- Test: 6.1MB / 6:38 voice memo → 358s = 1.15x realtime
- Test: 3 speakers correctly identified (SPEAKER_00/01/02)
- Test: code-mixing OK (Cantonese + English terms preserved)

Backup: transcribe_server.py.bak-20260724-0931

.gitignore

@@ -0,0 +1,8 @@
+# Backup files
+*.bak.*
+*.orig
+# Mac
+.DS_Store
+# Python
+__pycache__/
+*.pyc