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zeekay
cf4d0b027e
Aggregates five OSS one-click/self-hosting catalogs into the Dokploy blueprint
shape the Hanzo PaaS consumes (meta.json array + blueprints/<id>/{template.toml,
docker-compose.yml,meta.json,logo}):
Dokploy 500 (MIT, verbatim) · Coolify 174 (Apache-2.0) · CapRover 161
(Apache-2.0) · CasaOS 85 (Apache-2.0) · Runtipi 110 (GPL-3.0)
Deduped by app identity; each source + app keeps its upstream license
(ATTRIBUTION.md). Deterministic aggregators + a hard validator (every
template.toml parses with the platform's toml lib, every compose parses as YAML,
meta.json is the expected array, and an over-HTTP fetch probe exercises all
1030) — 0 hard failures. Served natively by hanzoai/static on DOKS (no CDN/Pages/
Vercel); CI builds on the hanzo-build-linux-amd64 arc pool; operator App CR in
crs/ serves it at templates.hanzo.ai.
73 lines
2.0 KiB
TOML
73 lines
2.0 KiB
TOML
[variables]
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main_domain = "${domain}"
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device = "cpu"
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[config]
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env = [
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"DEVICE=${device}",
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"MODEL_PATH=/app/models",
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"HOST=0.0.0.0",
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"PORT=8880",
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"PYTHONUNBUFFERED=1",
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"UV_SYSTEM_PYTHON=1"
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]
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[[config.domains]]
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serviceName = "kokoro-tts"
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port = 8880
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host = "${main_domain}"
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path = "/"
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[[config.mounts]]
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filePath = "README.md"
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content = """# Kokoro TTS FastAPI
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This template provides a Dockerized FastAPI wrapper for the Kokoro-82M text-to-speech model.
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## Features
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- Multi-language support (English, Japanese, Chinese)
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- OpenAI-compatible speech endpoint
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- CPU and GPU support
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- Web interface for monitoring
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- RESTful API with comprehensive documentation
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- Streaming audio generation
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- Word-level timestamps and phonemes
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## Usage
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- **Web Interface**: Access the web UI at `https://${main_domain}/web`
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- **API Documentation**: Available at `https://${main_domain}/docs`
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- **Health Check**: Monitor service health at `https://${main_domain}/health`
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## Configuration
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The service runs on port 8880 and supports both CPU and GPU inference.
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For GPU support, ensure your Dokploy instance has NVIDIA GPU support enabled.
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## API Endpoints
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- `POST /v1/audio/speech` - Generate speech from text (OpenAI compatible)
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- `POST /dev/captioned_speech` - Generate speech with timestamps
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- `POST /dev/phonemize` - Convert text to phonemes
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- `POST /dev/generate_from_phonemes` - Generate audio from phonemes
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- `GET /health` - Health check endpoint
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- `GET /docs` - Interactive API documentation
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- `GET /web` - Web interface
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## Model Information
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- Model: Kokoro-82M
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- License: Apache-2.0
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- Repository: https://github.com/remsky/Kokoro-FastAPI
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- HuggingFace Model: https://huggingface.co/hexgrad/Kokoro-82M
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## Notes
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- This template builds the image from source during deployment
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- Uses CPU-optimized Dockerfile by default
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- Initial build may take several minutes due to model download
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- Ensure sufficient disk space for model storage
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- For GPU support, change dockerfile path to `docker/gpu/Dockerfile` in docker-compose.yml
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"""
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