Model Validation Infrastructure, Script, and Workflow#432
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…atch using Claude's Fable.
…racking, output inspection via expect rules and custom validators, and fixed the post-run hang.
…ary, and abstracted harness timeouts.
…option, retrying loading ZeroGPU models, and updates to printouts and README.
…ZeroGPU models, graceful handling of remaining ZeroGPU models after quota exceeded, and improved reporting.
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Implements a model validation framework executed manually or as a daily GitHub Action. The main script headlessly drives the pyharp gradio endpoints (
/controls,/process) across two tiers: localpyharp/examples/apps, and every Hugging Face Space underteamup-tech.Every model gets a default case with inputs synthesized from its own
/controlsspec;config.ymladds per-model and shared cases, declarativeexpectrules on outputs (audio/MIDI/label properties), and customvalidators.See
model_validation/README.mdfor more details.One current limitation is the lack of precision in tracking ZeroGPU quota usage. Since quota usage is dynamic and can be refunded, it might be worthwhile to retry ZeroGPU models before outright skipping the remaining ones after a single ZeroGPU quota exceeded error. Another workaround could be to set the number of workers to 1 to avoid eating up extra quota due to initial time reservations.