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A webapp build with Streamlit and Langchain to summarize text data using a vector store and GPT

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francomor/streamlit-langchain

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Data summary with GPT

Takes a text and summarizes it using GPT.

It uses:

  • streamlit
  • langchain

The app store the user input in a .pkl file, so it can be used in future executions.

Installation

poetry install

Usage

poetry shell
streamlit run home.py

Credentials

Default user: admin

Default password: admin

To change the credentials, check the official docs of Streamlit Authenticator: https://github.com/mkhorasani/Streamlit-Authenticator

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A webapp build with Streamlit and Langchain to summarize text data using a vector store and GPT

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