🦙📚 LlamaIndex - Chat with the Streamlit docs

Build a chatbot powered by LlamaIndex that augments GPT 3.5 with the contents of the Streamlit docs (or your own data).

Overview of the App

Takes user queries via Streamlit's st.chat_input and displays both user queries and model responses with st.chat_message
Uses LlamaIndex to load and index data and create a chat engine that will retrieve context from that data to respond to each user query

You can get your own OpenAI API key by following the following instructions:

Go to https://platform.openai.com/account/api-keys.
Click on the + Create new secret key button.
Next, enter an identifier name (optional) and click on the Create secret key button.
Once you have your API key, you will need to store this in .streamlit/secrets.toml. IF this file doesnt exist, create it with the following openai_key = "your-key-here-AND-MAKE-SURE-TO-ADD-FILE-TO-GITIGNORE"

Caution

You NEED to add .streamlit/secrets.toml to your .gitignore. Head over to the projects .gitignore and uncomment it.

Once the app is loaded, enter your question about the Streamlit library and wait for a response.

Get set up with your local environment.
If you dont ahve pipenv, install it

pipenv --python 3.10

Start using the pipenv environment just created. You should see "(llamaindex-chat-with-streamlit-docs)" at the start of your terminal prompt.

pipenv shell

Tell pipenv to take a look at the Pipfile and download the packages and their deps.

pipenv install