Part 2/6:
Python: The backbone programming language for the application.
Streamlit: A user-friendly UI library allowing interaction with LLMs.
LangFlow: A low-code visual editor tailored for developing AI workflows.
AstraDB: A vector database implemented to enable retrieval-augmented generation features.
Demonstration of the Application
The article starts with a demonstration of the completed application which helps users fill out their fitness profiles. Users input personal data such as age, weight, height, gender, activity level, and fitness goals. Utilizing an LLM, the application can automatically generate tailored nutrition goals based on these inputs.