doradonguwcs/modelsearch-demo repository overview

⁠ModelSearch Demo

Self-contained Docker image for ModelSearch, a table-driven model discovery system combining semantic model-card retrieval, structured table discovery, table integration, and nugget-based evaluation.

⁠Links

• Paper: Diversed Model Discovery via Structured Table Discovery⁠
• GitHub: RJMillerLab/ModelSearch⁠
• Workshop: TaDA 2026 — 4th International Workshop on Tabular Data Analysis at VLDB 2026⁠
• Video: ModelSearch demo⁠
• Evaluation data: Google Drive⁠

⁠Run

docker pull doradonguwcs/modelsearch-demo:latest

docker run --rm \
  --name modelsearch-demo \
  -p 5001:5001 \
  -v modelsearch-jobs:/app/jobs \
  doradonguwcs/modelsearch-demo:latest

Open http://localhost:5001⁠. The named volume preserves jobs between runs.

⁠Enable LLM-backed nugget evaluation

Create .env without wrapping the value in quotes:

printf 'OPENAI_API_KEY=your-key-here\n' > .env

docker run --rm \
  --name modelsearch-demo \
  -p 5001:5001 \
  --env-file .env \
  -v modelsearch-jobs:/app/jobs \
  doradonguwcs/modelsearch-demo:latest

The API key is supplied only at runtime and is not included in this image.

⁠Included runtime

The image includes the application, Hugging Face search indexes, table database, source tables needed for previews/integration, encoder weights, model-card inputs, and precomputed nuggets.

⁠Platform

Currently built for linux/arm64. Docker Desktop may emulate it on x86-64; native linux/amd64 requires a separate or multi-platform build.