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deploy: Streamlit Space setup + button-triggered training
- README.md: switch SDK to streamlit, app_file → demo/streamlit_app.py - requirements.txt: streamlit-compatible deps (drop CUDA index + gradio) - app.py: training no longer auto-starts on boot; judges must click '▶ Start Training' button; orange warning banner explains that starting a run will overwrite the current trained policy - data/.gitkeep: ensures data/ dir exists on Space filesystem - configs/training_config.yaml: spawn_threshold 0.40 (auto-spawn fix) - env/spindleflow_env.py: re-enable _maybe_spawn_specialist in reset() Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>7e20750