Public-flip audit: env-driven paths, scrub audit-ticket prefixes, terser README

the host bind paths + LAN host pins replaced with env defaults. Repository URLs
→ git.sulkta.com. Audit-changelog scaffolding stripped from inline comments
(technical reasoning preserved). README sheds marketing scaffolding. AI-speak
in load-bearing prompts/SOULs left alone — that IS the product.

engines/f5-tts/Dockerfile

@@ -1,9 +1,6 @@
-# Sulkta build of F5-TTS — upstream ghcr.io/swivid/f5-tts:main was
-# shipped with torch 2.11/torchaudio 2.4 ABI mismatch on 2026-05-13,
-# breaking import torchaudio at boot. We rebuild on a known-good
-# pytorch base + pip install f5-tts.
-#
-# Image tag in localhost-registry: registry.example.local:5000/f5-tts:<ver>
+# F5-TTS rebuild on a known-good pytorch base. Upstream
+# ghcr.io/swivid/f5-tts:main shipped a torch/torchaudio ABI mismatch
+# that broke `import torchaudio` at boot; this image bypasses that.
 #
 # License: Apache 2.0 (code) / CC-BY-NC (Emilia-trained weights).
 # Personal use OK; redistribution gray-area — flagged.
@@ -30,12 +27,11 @@ RUN pip install --no-cache-dir 'f5-tts>=1.0.0'
 # Pre-warm the HF cache directory.
 RUN mkdir -p /cache/hf /audio /voices
 
-COPY f5_server.py /app/f5_server.py
+COPY server.py /app/server.py
 WORKDIR /app
 
 EXPOSE 7860
 
-# Skald talks to our purpose-built FastAPI server, not Gradio.
-# Models load at startup (first request would otherwise pay the
-# cold-start cost). uvicorn on :7860 to keep the port stable.
-CMD ["uvicorn", "f5_server:app", "--host", "0.0.0.0", "--port", "7860"]
+# Purpose-built FastAPI server, not Gradio. Models load at startup
+# so the first request doesn't pay the cold-start cost.
+CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860"]

engines/f5-tts/compose.yml

@@ -1,19 +1,21 @@
-# F5-TTS standalone stack on the host.
+# F5-TTS sidecar.
 #
-# License posture (acknowledged 2026-05-13): code is Apache 2.0, but
-# the pretrained model weights are CC-BY-NC (Emilia training data).
-# Personal listen is fine; public sharing is a flagged gray area.
-# Sulkta's call: ship anyway.
+# Code is Apache 2.0; pretrained F5TTS_v1_Base weights are CC-BY-NC
+# (Emilia training data). Personal use is fine; redistribution is a
+# flagged gray area.
 #
-# Runtime: 8GB GPU is plenty (F5 inference ~4-6GB peak).
+# First run downloads ~2GB of model weights from HuggingFace into
+# the hf-cache volume; subsequent runs are warm.
 #
-# First-run cost: ~2GB model download from HuggingFace into hf-cache,
-# happens on first inference request. Subsequent runs are warm.
+# Set in .env (or override):
+#   F5_HOST_PORT=7792
+#   F5_DATA=./data           # ${F5_DATA}/hf-cache + voices + audio
 name: f5-tts
 
 services:
   f5-tts:
-    image: registry.example.local:5000/f5-tts:0.3
+    build: .
+    image: f5-tts:0.3
     container_name: f5-tts
     restart: unless-stopped
     deploy:
@@ -24,20 +26,11 @@ services:
               count: all
               capabilities: [gpu]
     ports:
-      - "127.0.0.1:7792:7860"
-      - "127.0.0.1:7792:7860"
+      - "${F5_HOST_PORT:-7792}:7860"
     volumes:
-      # HF model weights cache — persists ~2GB after first download.
-      - /srv/appdata/f5-tts/hf-cache:/cache/hf
-      # Reference voice clips (lj_speech.wav, etc).
-      - /srv/appdata/f5-tts/voices:/voices:ro
-      # Rendered audio output — skald writes story narrations here.
-      - /srv/appdata/f5-tts/audio:/audio
+      - ${F5_DATA:-./data}/hf-cache:/cache/hf
+      - ${F5_DATA:-./data}/voices:/voices:ro
+      - ${F5_DATA:-./data}/audio:/audio
     environment:
       HF_HOME: /cache/hf
       HF_HUB_DISABLE_TELEMETRY: "1"
-    labels:
-      org.sulkta.domain: "sulkta"
-      org.sulkta.owner: "Sulkta"
-      org.sulkta.managed-by: "compose"
-      org.sulkta.role: "f5-tts"