llamacloud_streamlit

This repo uses Streamlit to create an user-facing demo application that showcases various capabilities from LlamaCloud.

It uses the llama-cloud API Python client (pip install llama-cloud)

You can use the streamlit application now by visiting https://llamacloud.streamlit.app

You will need access to LlamaCloud in order to create an API key first to use within the app.

Why did we create this?

We wanted to create a demo that showcases some of the Agentic RAG capabilities that LlamaCloud enables through an interactive UX. Additionally, by open-sourcing the codebase for this, we hope that developers can use this code as a reference for setting up their own applications that rely on the LlamaCloud API.

Development Setup

Here are the steps for setting up your development environment to run this project locally:

1. Clone this repo e.g. gh repo clone run-llama/llamacloud_streamlit
2. Install poetry if you haven't already
3. Install the poetry dependencies by running poetry shell and then poetry install within this project's root directory.
4. Add a secrets.toml file in the .streamlit folder and add a value for openai_key to it
   • touch .streamlit/secrets.toml
   • Add a line within the newly created secrets.toml that reads openai_key = "YOUR OPENAI API KEY"
5. (Optional) You can also setup a .env file to pre-populate some of the values used for global settings in app/app_settings.py. This may ease local use of the app so you don't need to continuously fill in the LlamaCloud API key in the UI.
6. Run make run to run the streamlit app locally. You can then visit the application at http://localhost:8501
   • Please note you will need to setup the LlamaCloud API key the app will use on the API Keys tab in the UI first.