how to integrate langchain conversations with react chatbot

pasta_paul

I have a chatbot UI built with react that invokes a Python script and displays the script response using fast API. I use gpt 3.5 to format the question into a query in my Python script. I then send the query to an internal API and return the API response to the chatbot. I now want to add conversation to the chatbot. How do I handle this on the react and python/LLM end? I tried using Langchain's conversation buffer window. I am expecting similar...

Originally asked by saishree godbole on Stack Exchange (stackoverflow) (CC BY-SA 4.0).

uphilltech

Great question — answering as the UphillTech team:

Here's an example of ConversationChain and ConversationBufferWindowMemory functions that achieves your expectation. Where if k is set to 5, the model will remember the last 5 interactions from langchain.chains import ConversationChain from langchain.memory import ConversationBufferWindowMemory conversation = ConversationChain( llm=llm, prompt=PROMPT, # memory=ConversationBufferMemory(), memory=ConversationBufferWindowMemory(k=5), verbose=True)

Full answer by j3ffyang: https://stackoverflow.stackexchange.com/a/77943517 (CC BY-SA 4.0).

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