Spaces:
Runtime error
Runtime error
File size: 2,470 Bytes
0f65826 6b09b49 eb62e9b 1130366 eb62e9b f691896 6b09b49 e9c4780 a2fa1e1 e9c4780 0f65826 e9c4780 0f65826 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | .PHONY: setup setup-zerogpu assets run test demo bench trace deliberation preflight deploy-check deploy publish publish-dry publish-mirror record-check record-beat
# Local dev uses uv (fast, locked). The HF Space still installs via pip+requirements.txt.
# Entrypoints: app.py + test_core.py at root; helper scripts live in scripts/ and run
# as modules (-m scripts.<name>) so the repo root is importable for `from core...`.
setup: ## create/sync the uv env (locked) + generate sample meshes
uv sync
uv run python -m scripts.make_assets
setup-zerogpu: ## sync incl. the ZeroGPU live-inference extra (deploy/testing only)
uv sync --extra zerogpu
uv run python -m scripts.make_assets
assets: ## (re)generate sample meshes for the 3D preview
uv run python -m scripts.make_assets
run: ## launch the Gradio app (needs `ollama serve` for live inference)
uv run python app.py
test: ## headless core tests (no Ollama required)
uv run python test_core.py
preflight: ## GO/NO-GO gate on the real stack (see RUNBOOK)
uv run python -m scripts.preflight
deploy-check: ## deploy/record readiness gate (offline: build + files + creds + Space + dataset)
uv run python -m scripts.deploy_preflight
deploy: ## run the gates, then UPDATE the Space files (hf upload) + factory reboot (needs HF_TOKEN)
uv run python -m scripts.deploy_preflight --push
publish: ## deploy to HF Space + sync the public GitHub mirror (needs HF_TOKEN + gh auth)
uv run python -m scripts.publish
publish-dry: ## show what publish would change without pushing
uv run python -m scripts.publish --dry-run
publish-mirror: ## sync only the public GitHub mirror (skip Space push)
uv run python -m scripts.publish --mirror-only
demo: ## scripted integration run / video-beat dry run
uv run python -m scripts.scripted_demo
bench: ## measure model latency on this hardware (needs Ollama)
uv run python -m scripts.bench_latency
trace: ## export the lesson ledger as a HF Datasets-ready trace
uv run python -m scripts.export_trace
deliberation: ## export the multi-persona deliberation as a HF Datasets-ready trace
uv run python -m scripts.export_deliberation
record-check: ## recording preflight (cap-cli + Space + playwright gates)
uv run python -m scripts.record_preflight
record-beat: ## record one beat: make record-beat BEAT=load
@test -n "$(BEAT)" || (echo "Usage: make record-beat BEAT=load"; exit 1)
./scripts/record-beat.sh $(BEAT)
|