Files
petal/.env.example
prosolis 5120b1e5a2 Read-aloud: natural neural voice via local Piper TTS
Replace the browser's robotic Web Speech API (espeak on Chromium) as the
primary read-aloud path with server-side Piper neural TTS, served by petal
and kept fully offline on millenia next to Ollama.

- internal/tts: proxy short passages to Piper, transcode WAV -> mp3/opus via
  ffmpeg, content-addressed disk cache (instant re-taps). Each Piper instance
  loads one voice, so language routes to its own endpoint:{voice}. Unknown
  language -> 404 so the client falls back to Web Speech. UTF-8-safe truncation
  for multibyte (Chinese) text.
- config: TTS_ENDPOINT / TTS_ENDPOINT_ZH / TTS_VOICE_EN / TTS_VOICE_ZH /
  TTS_CACHE_DIR / TTS_TIMEOUT / TTS_AUDIO_FORMAT. Route mounts only when
  TTS_ENDPOINT is set; otherwise unchanged behavior.
- web/audio/speech.ts: speak() hits /api/tts first, falls back to Web Speech on
  any failure; rapid-tap-safe via a request token. Call sites unchanged.
- deploy/: Piper user systemd units (EN :5005, ZH :5006), setup script, README.

English (en_US-amy-medium) and Chinese (zh_CN-huayan-medium) are both live.

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-26 11:34:52 -07:00

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# Petal — copy to .env and fill in. All values have local-dev defaults; override as needed.
# Server
PORT=8080
BASE_URL=http://localhost:8080
# Database (SQLite, pure-Go modernc — no cgo)
DATABASE_PATH=./data/petal.db
# On-disk store for images pasted/dropped/inserted in the editor
IMAGE_DIR=./data/images
# LLM
LLM_BACKEND=vllm # vllm | ollama
LLM_ENDPOINT=http://localhost:8000 # vLLM :8000, Ollama :11434
LLM_MODEL= # checkpoint model (small/fast). Never hardcoded.
LLM_CHAT_MODEL= # Ask Petal model (Mandarin-native). Falls back to LLM_MODEL if empty.
LLM_TIMEOUT=30s
# Read-aloud (TTS). Off unless TTS_ENDPOINT is set — when empty, the /api/tts route
# is not mounted and the frontend falls back to the browser's Web Speech API.
# Backed by a local Piper HTTP server (python3 -m piper.http_server).
# Each Piper HTTP server loads ONE voice, so English and Chinese need separate
# instances (different ports). zh is only routed when both TTS_ENDPOINT_ZH and
# TTS_VOICE_ZH are set; otherwise Chinese falls back to Web Speech.
TTS_ENDPOINT= # e.g. http://127.0.0.1:5005 — empty disables server TTS
TTS_ENDPOINT_ZH= # e.g. http://127.0.0.1:5006 — Chinese Piper instance
TTS_VOICE_EN=en_US-amy-medium # Piper voice id for English
TTS_VOICE_ZH=zh_CN-huayan-medium # Piper voice id for Chinese
TTS_CACHE_DIR=./data/tts # on-disk store for synthesized clips (content-addressed)
TTS_TIMEOUT=15s
TTS_AUDIO_FORMAT=mp3 # mp3 | opus | wav — mp3/opus transcode Piper's WAV via ffmpeg
# --- Deferred (not wired in the local-dev build) ---
# Auth (Authentik OIDC) — deferred; single hardcoded local user for now
# SESSION_SECRET=change-me-to-random-64-char-string
# AUTHENTIK_URL=https://auth.parodia.dev
# AUTHENTIK_CLIENT_ID=petal
# AUTHENTIK_CLIENT_SECRET=
# Copyleaks (Tier-2 plagiarism) — deferred; needs a public webhook
# COPYLEAKS_ENABLED=false
# COPYLEAKS_API_KEY=
# COPYLEAKS_EMAIL=