Summarize RSS Feed using generative AI

[#1]

The use case provided in this notebook takes the latest update of an RSS feed from CNN, downloads the article as text, embeds the text into a vector database, uses Google Bison to summarize the text, and provides a summary of the article in a streamlit app.

This notebook outlines how to:

1. Download an RSS feed and the article text
2. Make an AI catalog dataset from the RSS feed data/article content data
3. Embed content into a vector database on DR (using DR API)
4. Set up GenAI model (LLM) using Google Bison for deployment
5. Deploy in Datarobot
6. Build streamlit front-end for for interacting with the deployment
7. Receive article summaries and recommendations back via Streamlit app