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Merge pull request #38 from Bobbins228/update-notebook-link
docs: update demo link for rhoai example and fix typo
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demos/basic_demo.ipynb

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}
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],
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"source": [
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"# If usingf the remote provider, you will need ngrok to enable remote access to your Llama Stack server\n",
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"# If using the remote provider, you will need ngrok to enable remote access to your Llama Stack server\n",
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"# Otherwise, the base_url is just http://localhost:8321\n",
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"client = LlamaStackClient(base_url=os.getenv(\"KUBEFLOW_LLAMA_STACK_URL\"))\n",
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"available_models = client.models.list()\n",

demos/llama-stack-openshift/README.md

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You can now deploy the configuration files and the Llama Stack distribution with `oc apply -f deployment/kubeflow-ragas-config.yaml` and `oc apply -f deployment/llama-stack-distribution.yaml`
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You should now have a Llama Stack server on OpenShift with the remote ragas eval provider configured.
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You can now follow the [remote_demo.ipynb](../../demos/remote_demo.ipynb) demo but ensure you are running it in a Data Science workbench and use the `LLAMA_STACK_URL` defined earlier. Alternatively you can run it locally if you create a Route.
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You can now follow the remote instructions of the [basic_demo.ipynb](../../demos/basic_demo.ipynb) demo but ensure you are running it in a Data Science workbench and use the `LLAMA_STACK_URL` defined earlier. Alternatively you can run it locally if you create a Route.

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