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notebooks/GenAI/embedding_demos/readme.md

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***Note: Access the Streamlit site from the provided URL in the terminal.***
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By completing the "Azure OpenAI Demo w/ Streamlit Frontend" tutorial, you have gained valuable hands-on experience in integrating Azure OpenAI services with a Streamlit frontend. You have learned how to set up and configure essential components, including Azure OpenAI, Azure AI Search, and Azure Blob Storage. Additionally, you have explored the functionalities of key scripts and understood how to generate and query embeddings for interactive applications. This tutorial also guided you through executing the demo both on Azure ML using Ngrok and locally using VSCode, ensuring you are equipped to handle different deployment scenarios. We hope this tutorial has been informative and empowers you to leverage Azure OpenAI and Streamlit for your future projects.
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## Clean Up <a name="clean_up"></a>
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Make sure to shut down your Azure ML compute and if desired you can delete your Azure AI Search service, Azure Blob Storage Account, and Azure OpenAI service. ***Note these services can be used in other tutorials in this notebook.***
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Make sure to shut down your Azure ML compute and if desired you can delete your Azure AI Search service, Azure Blob Storage Account, and Azure OpenAI service. ***Note these services can be used in other tutorials in this notebook.***

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