/LangChain-Tools-Streamlit-Callback-Handler

Stream LangChain AI Abstractions and Responses in Your Web App — LangChain Tools in Action https://avraapps.ai

Primary LanguagePythonMIT LicenseMIT

LangChain-Tools-Streamlit-Callback-Handler

Stream LangChain AI Abstractions and Responses in Your Web App — LangChain Tools in Action

The app aims to showcase:

StreamlitCallbackHandler a.k.a verbose = True and stream responses.

App was built and deployed using Databutton - which is an online platform with one-click deployment to rapidly prototype Streamlit Apps.

You can directly start with the template of this app. once you log in to Databutton.

  1. Start with a template
  2. Internet-Connected Chat Assistant

Links

App in action - https://avraapps.ai/pages/Streamlit_Chat_Elements_Streaming_with_Lang_Chain

Blog - here