Commit Graph

8 Commits

Author SHA1 Message Date
bf458283af Show spoken sentence in typing bubble; fix VAD noise sensitivity
Sentence text in typing bubble:
- Backend sends 'text' field with each audio SSE event (the sentence
  being synthesised)
- Frontend audio queue stores {url, text} pairs
- playNextAudio() writes the sentence text into the '...' typing bubble
  when LLM tokens haven't arrived yet (convCurrentSentenceBubble)
- convCurrentSentenceBubble cleared as soon as first LLM token arrives
  so normal streaming takes over seamlessly

VAD noise fixes:
- VAD_THRESHOLD: 0.01 → 0.02 (background noise no longer counts as speech)
- VAD_MIN_REC_MS: 400 → 800ms (8/10s wait before silence detection starts,
  gives user time to begin speaking without initial noise triggering send)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 20:50:44 +02:00
13c79768b4 Fix speech gate, hallucination filter, and latency
Speech gate (silence detection):
- vadHadSpeech flag: VAD auto-stop cancels without calling STT when no
  speech was detected (fixes "[STT] No speech detected → gibberish" loop)
- cancelNextBlob flag: onstop skips processBlob when VAD cancels silently
- vadLastVoiceMs: gates preview transcription on actual detected speech
  (prevents "reich" hallucination on initial silence chunks)

Hallucination filter:
- Client: HALLUCINATION_RE strips known Whisper phantoms from preview
- Server: _is_hallucination() in generate() treats "reich" / "danke" /
  "thank you" etc. as "No speech detected" → never reaches LLM

Latency:
- VAD_SILENCE_MS: 1500 → 1000 ms (sends 500 ms sooner per turn)
- VAD_MIN_REC_MS: 500 → 400 ms
- MediaRecorder timeslice: 2500 → 1500 ms (preview text updates faster)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 20:38:53 +02:00
34870fed27 Pipeline TTS with LLM streaming for lower latency
Replace serial LLM-wait-TTS with overlapped execution:
- LLM streams via background thread → asyncio.Queue (non-blocking event loop)
- _sentence_split() detects sentence boundaries in the token stream
- asyncio.create_task fires TTS for each sentence immediately — TTS for
  sentence 1 runs while LLM is still generating sentences 2, 3, …
- Audio chunks stream to frontend in order as each task completes
- Time-to-first-audio drops from (LLM total + TTS total) to
  roughly (LLM time-to-first-sentence + TTS latency for one sentence)

Frontend audio queue:
- enqueueAudio() / playNextAudio() chain multi-chunk responses seamlessly
- clearAudio() stops playback and cancels queue on new turn or mic click
- scheduleAutoMic() waits for queue to drain before restarting mic
- Error paths clear the queue to avoid stale audio playing after failure

Also fix missing contextlib import (silent bug when audio temp files
needed cleanup in the STT path).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 19:06:07 +02:00
b33829ded5 Add skeleton loading, self-host assets, fix LLM empty response
Perceived startup speed:
- index.html: animated shimmer skeleton (header + toolbar + 8 voice cards)
  visible immediately; fades out when loader.js finishes
- WaveSurfer (57KB) and MDI icon font (394KB woff2) now served from
  static/vendor/ — removes 3 render-blocking external requests from <head>
- Flag-icons CSS loaded async (rel=preload onload trick) — non-blocking

loader.js:
- Fade out skeleton + remove from DOM (300ms transition)
- Reveal page-sections after JS finishes loading

Conversation playground:
- Qwen3 thinking mode fix: fall back to delta.reasoning_content when
  delta.content is empty so think-only LLM turns produce visible output
- Better error message with /no-think hint when LLM returns empty

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 17:28:42 +02:00
686fd61865 Fix NameError: restore File import removed during 422 fix 2026-05-29 14:59:46 +02:00
b3a408bfd9 Fix 422 on text-only conversation turns
UploadFile | None = File(None) with from __future__ import annotations
caused FastAPI to still treat audio as required when omitted.
Changed to Optional[UploadFile] = None (no File() wrapper) so the
field is genuinely optional for text-input turns.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 14:30:06 +02:00
0a5b607fa5 Add text input to Conversation Playground (bypass mic / STT)
Frontend:
- Add pill-shaped text input + send button (→) to the left of the mic button
- Enter key or → click sends text directly without recording audio
- Input is disabled while a turn is processing; cleared on submit
- Welcome message updated to mention both input methods
- New CSS: .conv-input-bar, .conv-text-row, .conv-text-inp, .conv-send-btn,
  .conv-divider (visual separator between text and mic sections)

Backend:
- /api/conversation/turn: audio is now optional (UploadFile | None)
- New text form field — when provided, STT step is skipped and text is
  used as the transcript directly; SSE emits transcript event with stt_ms=null
- Raises 400 if neither audio nor text is supplied

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 13:12:27 +02:00
c7a1e35539 Security audit, modular refactor, and container-name field
Security fixes:
- Block /proc /sys /dev /run /boot in /api/browse-dirs (path traversal)
- Verify yt-dlp output stays inside TEMP_DIR before registration
- Remove Access-Control-Allow-Origin: * from /api/proxy-audio
- TTL-based temp file registry (default 2h) to prevent disk fill

Performance:
- Cache settings + routing rules in memory (mtime-checked); eliminates
  per-request disk reads on every TTS call

UI:
- Add container name (optional) field to Docker stack TTS/STT engine
  cards (Qwen3 Voice Clone, Voice Design, Custom Voice, Streaming,
  NVIDIA Magpie, Parakeet) — enables Stop/Start/Restart buttons on
  all engine cards, matching the existing Other Local TTS/STT cards

Refactor — backend:
- server.py: 5560 lines → 43-line entry point
- core/ package: constants, registry, validation, docker_client,
  config, routing, audio, voice, presets, tts_helpers
- routes/ package: admin, settings, library, stt, sources, docker,
  tts, conversation (FastAPI APIRouter modules)
- Dockerfile + docker-compose.yml updated to include core/ and routes/

Refactor — frontend:
- static/app.js: 8744 lines → 16 modules in static/js/
  utils, voice-inspector, voice-sources, integrations, routing,
  settings, voice-clone, voice-library, tts-preview, benchmark,
  stt, init, engines, ai-backends, generation, conversation
- static/loader.js updated to load modules sequentially

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 12:13:07 +02:00