A playground to experiment with Streamlit library

Streamlit is a powerful opensource python library that simplifies the creation of interactive web applications for data science and AI projects.

This project is currently composed of 2 sample applications:

• simple_chat.py: that showcases a simple ChatGPT-like applciation built using solely Streamlit
• llm_chat.py: the same ChatGPT-like application interacting with OpenAPI using Langchain (requires an OPENAPI_KEY to be set in the .streamlit/secrets.toml file )

Development Workstation Setup

If you are using VSCode, and provided you have Docker installed on your machine, then you can leverage Dev Containers through this VSCode extension, to easily setup your development environment, with everything needed already installed (namely Python 3 plus some useful extensions).

To do so, simply:

• Checkout the repo
• Open it with VSCode (or IntelliJ)
• Open the Command Palette and select "Dev Containers: Open Folder in Container..."

The repo comes with a preconfigured devcontainer.json file (located in .devcontainer/ folder at root), that VSCode will automatically use to install the aforementioned tools, inside a Docker image. It will even run pip install -r requiremnts.txt for you, to automatically install all project dependencies

If you open the repo in Github Codespace, it will also leverage this config file, to setup the codespace, with the same required tools.

Running a sample

streamlit run <file.py>