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initial upload: 8-classifier video pipeline

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README.md ADDED
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+ ---
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+ license: mit
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+ language:
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+ - en
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+ tags:
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+ - video-generation
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+ - text-classification
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+ - routing
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+ - steady
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+ - byteSteady
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+ - switchboard
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+ library_name: steady
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+ ---
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+
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+ # switchboard-video-v1
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+
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+ 8-classifier pipeline for video generation prompt routing. Each model classifies
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+ one dimension of a video generation request: length, complexity, style, quality,
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+ camera movement, physics, reference modality, and cost tier.
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+
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+ ## Architecture
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+
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+ These models power [switchboard](https://github.com/xDarkicex/switchboard), a
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+ zero-alloc AI proxy engine that classifies incoming prompts and routes them to
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+ the cheapest capable video generation provider.
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+
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+ ```
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+ POST /v1/chat/completions
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+ → extract user message
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+ → 8-classifier pipeline (~2ms)
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+ → logic-based routing rules
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+ → upstream provider (runway, openai, kling, stability)
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+ ```
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+
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+ ## Models
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+
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+ | Model | Dimension | Labels | Size |
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+ |---|---|---|---|
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+ | `length.bin` | Duration | short, medium, long, multi_stage | 51 MB |
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+ | `complexity.bin` | Scene complexity | simple, multi_subject, multi_stage | 51 MB |
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+ | `style.bin` | Visual style | photorealistic, cinematic, animation, 3d, motion_graphics | 51 MB |
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+ | `quality.bin` | Resolution / fidelity | basic, 4k, 8k, production-grade | 51 MB |
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+ | `camera.bin` | Camera movement | static, dolly, tracking, orbital, fpv | 51 MB |
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+ | `physics.bin` | Physical simulation | none, basic, particle, fluid, cloth | 51 MB |
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+ | `refs.bin` | Reference modality | none, image, video, audio, multi | 51 MB |
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+ | `cost.bin` | Cost tier | cheap, medium, expensive | 51 MB |
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+
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+ ## Training
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+
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+ ```sh
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+ # Clone the switchboard repo
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+ git clone https://github.com/xDarkicex/switchboard
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+ cd switchboard
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+
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+ # Generate training data
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+ ./switchboard synth \
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+ --preset ./presets/video/synth.yaml \
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+ --real ./presets/video/real_prompts.yaml \
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+ --per-intent 1500 --output ./presets/video/training.txt
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+
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+ # Train all 8 models
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+ go run ./scripts/train-pipeline
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+ ```
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+
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+ Training data: 42,731 examples (231 human-annotated + 5,000 auto-tagged + 37,500 synthetic).
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+ 42,731 examples × 8 labels = 341,848 multi-label training lines.
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+
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+ ## Inference
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+
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+ ```go
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+ import "github.com/xDarkicex/switchboard/internal/operator"
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+
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+ cfg := operator.PipelineConfig{
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+ Style: operator.PipelineSlot{
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+ ModelPath: "models/style.bin",
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+ DefaultVal: "cinematic",
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+ Labels: []string{"cinematic", "photorealistic", "animation", "3d", "motion_graphics"},
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+ },
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+ // ... 7 more dimensions
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+ }
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+ pipeline, _ := operator.NewPipeline(cfg)
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+ defer pipeline.Close()
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+
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+ tags, _ := pipeline.Classify("Make a cinematic video of a dragon")
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+ // tags.Style = "cinematic"
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+ // tags.Length = "medium"
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+ // tags.Cost = "medium"
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+ ```
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+
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+ ## License
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+
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+ MIT — same as [switchboard](https://github.com/xDarkicex/switchboard).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @software{switchboard2026,
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+ author = {xDarkicex},
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+ title = {switchboard-video-v1: 8-classifier pipeline for video generation routing},
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+ year = {2026},
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+ url = {https://huggingface.co/LibraVDB/switchboard-video-v1}
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+ }
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+ ```
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