WEBVTT

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Start a demonstration on Linux or macOS with Python

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3.9 or newer and Docker.

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Copy the lens file onto the machine and make

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it executable.

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Use a new installation directory.

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Lens is the only file you need to copy

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for published images.

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Open a terminal in that directory.

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Setup checks Docker and its Compose plugin for you.

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Run lens setup.

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It pulls the published release that your lens file

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was built for.

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When prompted, enter your GitHub login and a personal

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access token with read packages permission for GHCR.

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After registry access, this recording shows the settings at

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twice their recorded speed.

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Choose your web port, an unused private network and

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your operator login.

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Save a passphrase of at least twelve characters in

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your password manager.

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Choose no model server and fictional Retail Lending data.

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Keep the saved private configuration.

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The recording declines deployment.

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Run start next and supply registry access if prompted.

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Run start and wait for the printed sign-in address.

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Open it in a browser on this Docker host.

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Sign in with your saved operator account and open

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Retail Lending.

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You can browse the map and import a chart

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without models.

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Interviews and model-backed questions need a model server.

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Open the User Tutorial next.

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Keep the installation directory, private configuration and Docker volumes

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for later runs.
