This course teaches learners how to build a fully-fledged web app using Streamlit and the HuggingFace Inference API. By the end of the course, students will be able to set up a Conda environment, utilize Streamlit effectively, leverage the HuggingFace inference API, understand Git versioning, and deploy their web app to Streamlit Cloud. The course is designed for individuals interested in machine learning operations (MLOps) and web development using Python. The teaching method includes practical demonstrations and step-by-step guidance through the process of building a web app.
Building Web Apps Using Streamlit - Streamlit Crash Course - MLOps Series
Aleksa Gordić - The AI Epiphany via YouTube
Overview
Syllabus
Intro
Building Conda environment
Starting your first Streamlit app
Streamlit crash course!
Building our web app: Streamlit + HuggingFace inference API
Handling private keys in Streamlit
Building the front-end
Git crash course!
Deploying to Streamlit cloud!
Outro
Taught by
Aleksa Gordić - The AI Epiphany
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5.0
