chatterbox-fast v0.1.0

Sub-second streaming TTS on Chatterbox-Turbo via adaptive buffer-ratchet
chunking. First audio in ~0.5s (vs ~5s one-shot) with no quality compromise —
chunk joins land on natural sentence pauses and the stream converges to one
large near-full-context chunk within 2-3 joins. Works because the engine runs
faster than realtime; the no-starvation guarantee is proven in a GPU-free
simulation (tests/test_scheduler.py).

- chatterbox_fast/scheduler.py: the adaptive-chunk scheduler (pure logic, no GPU)
- chatterbox_fast/app.py: FastAPI server (POST /tts streaming, /voices, /health)
- bench.py: streaming client (ground-truth TTFB + starvation check)
- Self-contained Dockerfile (slim base + chatterbox-tts from PyPI)
- Three public-domain LibriVox starter voices baked in (see voices/ATTRIBUTION.md)

MIT licensed.

.gitea/workflows/ci.yaml

@@ -0,0 +1,18 @@
+# CI: run the GPU-free scheduler simulation on every push/PR. The no-starvation
+# guarantee is validated here without any hardware.
+name: ci
+on:
+  push:
+    branches: [main]
+  pull_request:
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+      - run: pip install pytest
+      - run: pytest -q