README / AetherOps-HF-Hub-Build-Spec.md
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Build Aether Voice Studio Docker Space
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# AetherOps Hugging Face Docker Space — Build Spec
## Objective
Build a polished Hugging Face Docker Space for the AetherOps organization that acts as:
1. a public-facing product showcase
2. a docs-style explainer for Aether Voice Studio
3. a credibility layer for the Aether ecosystem
4. a controlled demo surface for voice workflows
5. a launchpad into AetherOps, Aether Voice Studio, and future public docs
This is not intended to replace production infrastructure.
---
## Product Positioning
The Space should feel like:
- a premium technical landing page
- a product docs entrypoint
- a live architecture showcase
- a curated interactive demo, not a toy
The tone should communicate:
- serious infrastructure
- creator utility
- enterprise utility
- model routing clarity
- composable voice tooling
---
## Platform Constraints
### Docker Space requirements
The Space must be implemented as a Hugging Face Docker Space using:
- `sdk: docker` in README YAML
- a standard `Dockerfile`
- a single externally exposed app port via `app_port`
If multiple internal services are needed, they must be proxied behind the single external app port.
Do not use Docker Compose as the deployment contract for Hugging Face Space runtime.
---
## Primary Goal
Deliver a highly polished front-end app that explains and showcases:
- Aether Voice Studio
- Voice routes and model matrix
- ASR / TTS / Dialogue / Voice Design flows
- future Sound Design lane
- LLM routing
- internal architecture at a high level
- product screenshots / diagrams / cards
- selected live demo interactions if safe and lightweight
---
## Recommended Technical Stack
Preferred:
- Next.js or Vite + React frontend
- FastAPI backend for lightweight API/demo endpoints
- Nginx reverse proxy only if needed for clean single-port routing
Alternative:
- pure frontend app with static + client-side demo interactions if no backend is necessary
Do not build a heavyweight all-in-one inference stack inside the Space for v1.
---
## Information Architecture
### Main sections
1. Hero
2. Product Overview
3. Aether Voice Studio
4. Route / Model Matrix
5. Demo Workflows
6. Creator Workflows
7. Enterprise / VoiceOps Workflows
8. Docs Entry
9. Architecture
10. FAQ
11. CTA / Links
---
## Page Layout
### 1. Hero
Content:
- product title
- short positioning statement
- 2-3 primary CTA buttons
- subtle animated visual or waveform motif
- one-line trust statement
Primary CTAs:
- View Voice Studio
- Explore Docs
- View Architecture
### 2. Product Overview
Cards for:
- ASR Live
- ASR File
- TTS Live
- TTS File
- TTS Studio
- VoiceOps
- LLM Routing
- Sound Design (coming soon)
Each card should have:
- short explanation
- intended user
- route target summary
- status badge (live / in build / planned)
### 3. Aether Voice Studio
Large section explaining:
- why TTS Live is separate from TTS Studio
- voice cloning
- voice design
- batch narration
- dialogue generation
- reusable voice assets
Use diagrams or cards.
### 4. Route / Model Matrix
Present the canonical routing system:
- `moss_realtime`
- `moss_tts`
- `moss_ttsd`
- `moss_voice_generator`
- `moss_soundeffect`
- `chatterbox` fallback
Display:
- use case
- route
- output type
- UI surface
### 5. Demo Workflows
Show example workflows:
- Live voice agent response
- Clone a reference voice
- Design a custom character voice
- Batch narration export
- Dialogue scene generation
- Future sound effects
If a backend demo is included, keep it small and stable.
### 6. Creator Workflows
Emphasize:
- docuseries narration
- faceless YouTube content
- dialogue scenes
- voice design presets
- future ambience and transition sounds
### 7. Enterprise / VoiceOps Workflows
Emphasize:
- telephony
- branded voice agents
- support routing
- dispatch and field service voices
- enterprise voice infrastructure
### 8. Docs Entry
This should look like a docs portal.
Include:
- Overview
- Quick Start
- Architecture
- Voice Routes
- Voice Registry
- TTS Studio
- LLM Routing
- API Reference
- Troubleshooting
### 9. Architecture
Show:
- Voice Studio frontend
- routing layer
- route targets
- provider-aware LLM config
- model registry / voice registry
- output artifacts
### 10. FAQ
Keep concise.
Include:
- Why multiple MOSS routes?
- Why separate TTS Live from Studio?
- What is voice design?
- What is a voice registry?
- What is the role of Chatterbox?
- Is Sound Design included?
### 11. CTA / Links
Buttons to:
- AetherOps
- docs
- future public API
- internal app screenshots
- contact / partner form later
---
## Navigation
Top nav:
- Overview
- Studio
- Routes
- Demos
- Docs
- Architecture
- FAQ
Optional secondary links:
- GitHub
- Hugging Face org
- API docs
---
## Visual Design Direction
Style goals:
- dark, premium, technical
- high-contrast but clean
- soft gradients
- waveform / voice / routing motifs
- “serious studio” look, not toy AI landing page
Use:
- large cards
- clean spacing
- strong section boundaries
- subtle motion
- architecture diagrams
- demo output panels
---
## Demo Scope for v1
Allowed:
- static screenshots
- route matrix interaction
- expandable workflow cards
- example voice design prompt gallery
- selected sample audio players if pre-generated
- lightweight metadata-driven demo UI
Avoid for v1:
- full realtime inference in the Space
- heavy model hosting
- anything that depends on long cold starts
- telephony integration
- complex secrets-dependent internal routing
---
## Suggested v1 Deliverables
### Required
- Docker Space app builds and runs on single app port
- polished landing page
- route/model matrix section
- docs-style navigation section
- screenshots or diagrams from Aether Voice Studio
- creator and enterprise workflow sections
- FAQ section
- CTA/footer
### Nice to have
- small demo API endpoint
- small JSON-driven voice preset gallery
- pre-generated audio preview cards
- architecture diagram tab
---
## Hugging Face Space Repo Files
Minimum structure:
- `README.md`
- `Dockerfile`
- `.dockerignore`
- `app/`
- `app/frontend/`
- `app/backend/`
- `app/public/`
- `app/data/`
- `app/data/voice_seed_library.json`
- `app/data/route_model_matrix.json`
If frontend-only:
- simplify accordingly
---
## README YAML
Use Hugging Face Space metadata in the README YAML block.
Recommended fields:
- title
- emoji
- colorFrom
- colorTo
- sdk: docker
- app_port
- short_description
- pinned
- header
- fullWidth
- suggested_hardware
- models
- tags
---
## Runtime / Secrets
The Space should be designed so it can run without production secrets for v1.
If environment variables are needed:
- use Hugging Face Space Settings variables/secrets
- keep secrets server-side only
- avoid any browser-visible secret flow
---
## Persistence
Do not assume persistent app state for v1.
Use:
- repo assets
- generated static content
- environment variables
- optional external APIs later
Do not design v1 around runtime disk persistence.
---
## Build / Runtime Requirements
- must run as a proper Docker Space app
- respect single public port model
- avoid permission issues by using UID 1000-compatible ownership in image build
- no GPU requirement for v1 Space
---
## Non-goals
- no full production inference cluster inside Hugging Face Space
- no Docker Compose-based deployment target
- no full telephony backend in Space
- no user secrets vault in v1
- no multi-tenant auth flows in v1
---
## Success Criteria
The finished Space should:
1. look premium and intentional
2. explain Aether Voice Studio clearly
3. demonstrate model/route sophistication
4. support partner/investor/customer credibility
5. be easy to extend later into a richer public product surface
Add a small Data Contracts section with downloadable or viewable JSON snippets:
voice registry shape
route/model matrix
seed voice library
provider config shape
That quietly signals: “this thing is machine-readable and automation-native.”
That matters for your brand.