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articles/machine-learning/prompt-flow/tools-reference/prompt-tool.md

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@@ -33,7 +33,7 @@ The following sections show the prompt text parsed from the prompt and inputs.
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1. Prepare a Jinja template. Learn more about [Jinja](https://jinja.palletsprojects.com/en/3.1.x/).
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In the following example, the prompt incorporates Jinja templating syntax to dynamically generate the welcome message and personalize it based on the user's name. It also presents a menu of options for the user to choose from. Depending on whether the user_name variable is provided, it either addresses the user by name or uses a generic greeting.
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In the following example, the prompt incorporates Jinja templating syntax to dynamically generate the welcome message and personalize it based on the user's name. It also presents a menu of options for the user to choose from. Depending on whether the `user_name` variable is provided, it either addresses the user by name or uses a generic greeting.
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```jinja
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Welcome to {{ website_name }}!

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