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Support UI Creation Functionality Using Streamlit

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AIDP excels as a developer and data lake platform, however there is currently no "end user" entering point directly to AIDP.

The current path to allowing a user to work with data from AIDP is either through data sharing out to another front-end application or pushing a gold layer to ADW.

Proposing that Streamlit should be supported in AIDP to support "low-code" app development.

Sample benefits:

  • Formally supporting streamlit app creation would allow for tighter end user accessibility to the data being developed in the platform
  • Many data science applications benefit immensely from simple UIs that support POCing things like hyper-paramater optimization, graphical results
  • Agentic LLM application development often relies on a chat based UI instead of fixed inference calls in a ipynb cell
  • Streamlit is an open source Python application that coexists cleanly with other packages being leveraged in AIDP GitHub - streamlit/streamlit: Streamlit — A faster way to build and share data apps.
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Needs Votes. David A / Guy M.