lg_my_examples

LangGraph Tutorials and HowTos with Streamlit

run: streamlit run app.py

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• Logic in streamlit seems to often be:

1. create a function that returns a compiled graph and decor it with @st.cache_resource
2. create a stream function with user_input

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• Left Tutorials/Chatbots/CustomersSupport for later

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• Tutorials/helperz.py: contains some reusable functions for langgraph

• Tutorials/quick_start/part 6: it is important to store snapshot in the streamlit session, because we need it to use it in later functions - at update

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• Tutorials/quick_start finished for all 7 parts

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Make sure to use @st.cache.resource when defining a graph, since a State object is initialized within. This is relevant for all parts in Tutorials/quick_start.

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In Tutorials/quick_start/part4 - issues with defining when a function on btn click should be executed. Solution with the use of st.session_state