With Streamlit, you can set up a web page in just a few lines of Python code to share your findings with your team or your audience – or to collect information from them. Use it to swiftly try out an idea for publication before asking your IT department to develop it, or to let a colleague make use of a Python-scripted tool you've written. Or build yourself a chatbot to help navigate your own research, local and safe on your computer.
In this session, we’ll cover the basics of Streamlit and build a page where users can upload a PDF along with some information, send it to a Python function for processing, and display the results. More advanced users will learn how to build an LLM-powered chatbot.
Streamlit is a Python library, so you should have a basic understanding of Python. You also need to be the admin of your computer, or at least have permission to start a local web server on it. If you want to build a chatbot, you’ll need to install
Ollama and download a model such as Gemma3 (
ollama.com/library/gemma3) before the session starts.
