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streamlit-examples's Introduction

streamlit-examples

A couple of AI demo applications built with Streamlit:

  • chat.py - Let's the user upload PDF documents and chat with them using LlamaIndex. Supports multiple users and streaming.
  • wiki_search.py - Semantic search over Wikipedia articles using Weaviate. Search results are summarized using Cohere. Needs a Cohere API Key.

Getting Started

This project uses poetry for dependency management. To install the dependencies and set up the environment, run the following commands:

# poetry install
# poetry shell

You can then run any of the examples by running:

# streamlit run streamlit_examples/chat.py

streamlit-examples's People

Contributors

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Forkers

jabra nealcaren asehmi brianjking blackwhites kuramdasu-ujwala-devi stevematthew aapoliakova lk1822 codegaus aneela-meghana-neelesh-varun wy603 sharun692 luke-skywalking rlealz budimanouyang smolavipour rishibh7 askthequran nstyflthyhobbit bbsoft0 marmajam rahulgo445 2bfree bozorgmehr

streamlit-examples's Issues

Extract Tables Question

Hi,

I've been trying to use your extract_tables.py Streamlit demo. It accepts my PDF and runs forever, but never outputs anything.

When I tried to run this locally or on Replit, I always get issues when I run poetry install and it hangs on the llama-cpp-python or similar packages.

Please advise, thanks!

Weaviate Index

Hi,

Congrats on winning in the Streamlit Hackathon.

Can you explain please where the Weaviate index is being created to act as context for the Wikipedia query?

Very interesting app, thanks.

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