Fetching metadata from the HF Docker repository...
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added features
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Remove obsolete deployment and placeholder files
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Align 500MB upload limits and stream large files
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Relax Streamlit proxy checks for Spaces
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Increase nginx upload limit for Spaces
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Fix nginx upstream loopback addresses
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Prepare Hugging Face Spaces deployment
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Replace Python proxy with Nginx to support Streamlit WebSockets and fix blank screen
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Remove shadowing placeholder routes to allow Streamlit UI to display
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Fix 403 error: Unify deployment on port 7860 using FastAPI reverse proxy for Streamlit
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Add optuna and missing utility dependencies (pyarrow, etc.)
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Optimize for HF Spaces: Robust start.sh, Celery worker, and permissions
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Add Hugging Face Space config metadata
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Deploy to HF Spaces
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Fix NumPy 2.x compatibility: pin numpy<2 for SHAP compatibility
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Fix NumPy 2.x compatibility: pin numpy<2 for SHAP compatibility
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Fix NumPy 2.x compatibility: pin numpy<2 for SHAP compatibility
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Fix NumPy 2.x compatibility: pin numpy<2 for SHAP compatibility
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Add supervisord for multi-process deployment and Railway multi-service config
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Fix NumPy 2.x compatibility: pin numpy<2 for SHAP compatibility
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Add Streamlit frontend to deployment: run both backend and frontend together
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Add placeholder frontend index.html to resolve missing file error
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Fix NumPy 2.x compatibility: pin numpy<2 for SHAP compatibility
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Change port in startCommand from $PORT to 8000
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Add Railway deployment configuration
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Fix import paths: set PYTHONPATH and use uvicorn app-dir flag for relative imports
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Fix Python 3.14 compatibility: update pandas to flexible version and add Fly.io config with Python 3.12
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Add deployment configuration (Dockerfile, docker-compose, deployment scripts)
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first commit
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Your commit message
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Remove large data files from version control and update .gitignore
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Remove large runs directory from version control and add to .gitignore
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first commit
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Streamline export bundle by removing auxiliary files
- Remove sample_input.json, sample_output.json, curl_examples.md, explain.py, export_manifest.json
- Remove api.py and batch_predict.py from export bundle
- Update README and requirements to reflect removed files
- Enhance error diagnostics in training components
- Fix preprocessor column handling for empty feature lists
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first commit
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Initial commit