Langgraph and Streamlit used to create human-in-the-loop news writing app #306
tevslin
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https://meeting-reporter.streamlit.app/ mates Streamlit and Langgraph to create an app using both multiple agents and human-in-the-loop to generate news stories more reliably than AI can alone and more cheaply than humans can without AI. It's an example of how AI can help fill a gap in local news reporting.
Based on GPT4-turbo so you do need your own paid OpenAI API key to get past the first screen (cost a few pennies per run).
Code is open source at https://github.com/tevslin/meeting-reporter
Screenshots and transcript of a a session are here,
Most examples of Langgraph use are in Jupyter notebooks so not really suitable for deployment to a broad audience. Streamlit solves the UI problem but mating the Streamlit and Langgraph state machines is an interesting problem.
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