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Build a Linux-native AI dashboard to turn models from black boxes into observable systems: launch a tiny FastAPI scorer, use a Bash collector to hit the API, read system load, and persist to SQLite, then chart latency, load, and sentiment in a live Streamlit app. The guide covers apt/dnf/zypper setup, cron automation, and real-world extensions like alerts, drift signals, Postgres, and hooking up your production model.