[WIP] ML model controls w/ Logos & Progress#433
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Add model/vendor logos, download progress, and safer MLflow model switching. Missing models no longer leave stale links, errors, or plotted model traces behind.
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Simpler version of BLAST-AI-ML#433: - Show download progress from MLFlow - Add the Genesis AMSC Logo and make it link to MLFlow model catalogue
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Simpler version of BLAST-AI-ML#433: - Show download progress from MLFlow - Add the Genesis AMSC Logo and make it link to MLFlow model catalogue
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Thinning out a bit, moved to #434 |
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Simpler version of BLAST-AI-ML#433: - Show download progress from MLFlow - Add the Genesis AMSC Logo and make it link to MLFlow model catalogue
ax3l
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May 6, 2026
Simpler version of BLAST-AI-ML#433: - Show download progress from MLFlow - Add the Genesis AMSC Logo and make it link to MLFlow model catalogue
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May 6, 2026
Simpler version of BLAST-AI-ML#433: - Show download progress from MLFlow - Add the Genesis AMSC Logo and make it link to MLFlow model catalogue
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synapse_dl_progress.webm
Summary
This updates the dashboard model controls with model/vendor branding, MLflow download feedback, and safer handling for missing registered models.
Key changes:
Neural Network (single)in the model type dropdown.model traces.
available.
Review Guide
Recommended review order:
model_manager.pyclear_model_load_errorsis_missing_mlflow_modelload_model_from_mlflowModelManager(..., loaded_model=...)support.app.pyupdate_plot_figure()uses a stable Plotly state key to avoid stale model traces.reset()path and guarded state-change handling.state_manager.pylogos/Non-Obvious Details
ArtifactProgressBarinthe relevant MLflow modules. The original classes are restored in
finally.figure.update()could retain stale ML model traces when switching between available and missing models.
errors.
Manual Test Plan that was Performed
Neural Network (single)has the Genesis logo in the dropdown.Downloading from American Science Cloud...