ef44155b5d
Some checks failed
Build and Push / build (push) Failing after 2m15s
- .gitea/workflows/build.yaml: Gitea Actions — push latest on main - docker-compose.example.yml: image-based pull, all NAT20_ vars shown - settings.py: add NAT20_PLAYER_RECAP_STYLE / CUSTOM_PROMPT overrides - README.md: full env var reference table with accepted values + rationale - files.py: fix parent_path to avoid up-button bug; add path traversal guard - Files.tsx: remove copy/paste/autoPlay, scope to campaign
93 lines
3.6 KiB
YAML
93 lines
3.6 KiB
YAML
# Example Docker Compose — copy to docker-compose.yml and customise.
|
||
# Build locally: docker compose build
|
||
# Pull pre-built: docker compose pull
|
||
# Run: docker compose up -d
|
||
services:
|
||
backend:
|
||
# ── Pre-built image (pull from registry) ──────────────────
|
||
image: gitea.kansaigaijin.com/Jamie/Nat20-Notes/backend:latest
|
||
# ── Or build locally (uncomment below) ────────────────────
|
||
# build:
|
||
# context: ./backend
|
||
# target: runtime
|
||
|
||
restart: unless-stopped
|
||
environment:
|
||
# ── Setup wizard ──────────────────────────────────────
|
||
# "false" (or omit) to show the wizard on first run.
|
||
# Set to "true" after onboarding completes.
|
||
NAT20_ONBOARDING_COMPLETED: "false"
|
||
|
||
# ── Transcription ─────────────────────────────────────
|
||
# Model size: tiny | base | small | medium | large-v3
|
||
NAT20_WHISPER_MODEL: medium
|
||
# Compute precision: int8 (fastest/least VRAM)
|
||
# | float16 (more accurate)
|
||
# | float32 (full precision, slowest)
|
||
NAT20_WHISPER_COMPUTE_TYPE: int8
|
||
|
||
# Required for speaker diarization (accept HF gated-model terms first)
|
||
# NAT20_HF_TOKEN: "hf_..."
|
||
|
||
# ── LLM backend (Ollama — local) ──────────────────────
|
||
NAT20_OLLAMA_HOST: http://localhost:11434
|
||
NAT20_OLLAMA_MODEL: qwen2.5:7b
|
||
|
||
# ── LLM backend (API — OpenAI-compatible) ─────────────
|
||
# Uncomment these to use a hosted API instead of Ollama
|
||
# NAT20_API_BASE_URL: https://api.openai.com/v1
|
||
# NAT20_API_KEY: "sk-..."
|
||
# NAT20_API_MODEL: gpt-4o-mini
|
||
|
||
# ── Summarization ─────────────────────────────────────
|
||
# Target words per chunk. Long transcripts are split into
|
||
# chunks, each summarized separately. Lower = more LLM
|
||
# calls but finer granularity. Higher = more context per
|
||
# chunk but may exceed the model's context window.
|
||
# Default 2500 works for most models (8K–128K context).
|
||
# NAT20_CHUNK_WORD_TARGET: "2500"
|
||
|
||
# Campaign context injected into every summarization prompt.
|
||
# Inline string or path to a file inside the container.
|
||
# NAT20_WORLD_CONTEXT: ""
|
||
# NAT20_WORLD_CONTEXT_PATH: /data/campaign-context.txt
|
||
|
||
# Player recap format: story | diary | bullets | custom
|
||
# NAT20_PLAYER_RECAP_STYLE: story
|
||
# NAT20_PLAYER_RECAP_CUSTOM_PROMPT: ""
|
||
|
||
volumes:
|
||
# ── Data persistence ──────────────────────────────────
|
||
# Option A: Named volume (auto-managed, no host path needed)
|
||
- app_data:/data
|
||
# Option B: Host bind mount (replace with your path)
|
||
# - /mnt/media/dnd-sessions:/data
|
||
|
||
# HuggingFace + Torch model caches (avoid re-downloading)
|
||
- hf_cache:/root/.cache/huggingface
|
||
- torch_cache:/root/.cache/torch
|
||
|
||
deploy:
|
||
resources:
|
||
reservations:
|
||
devices:
|
||
- driver: nvidia
|
||
count: 1
|
||
capabilities: [gpu]
|
||
ports:
|
||
- "8000:8000"
|
||
|
||
frontend:
|
||
image: gitea.kansaigaijin.com/Jamie/Nat20-Notes/frontend:latest
|
||
# build: ./frontend
|
||
restart: unless-stopped
|
||
depends_on:
|
||
- backend
|
||
ports:
|
||
- "8020:8020"
|
||
|
||
volumes:
|
||
app_data:
|
||
hf_cache:
|
||
torch_cache:
|