From the course: Building Generative AI Apps to Talk to Your Data

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Building the Streamlit app

Building the Streamlit app

- For a moment, imagine that I'm a senior manager that is not very happy with the basic Text2SQL workflow I have. The workflow doesn't deal well with joins and doesn't return very helpful searches of the structured data in my database. To fix this, I spent the time to build out a semantic model and a workflow that leverages agentic AI, and it now produces efficient, effective, and accurate returns. The heavy lifting is done, and let's go the last mile. The last step I need is to build a front end and deploy the workflow to users. This will let the users ask questions in natural language without the need for someone like me to craft a SQL query for them. No more interruptions and no more constant query-tweaking, real-time answers for everyone. More time for me to focus on high-value insights that can generate value. This is where I take the generative ability of AI and bridge the gap between builders and users. This is where all of my effort pays off. The foundation is built. It's time…

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