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Disclaimer: This channel is separate from my work at Google DeepMind and is my attempt to educate the broader community of future ML engineers, researchers, and builders. This video is not sponsored by HuggingFace, Streamlit, or anyone else - and all of the tools are free!

First video of the new MLOps series! We start from the very end, from the front end! :) We learn how to build a fully-fledged web app using Streamlit + HuggingFace Inference API on the backend. Python all the way!

We learn:
* How to set up a conda environment
* Everything you need to know about Streamlit - really!
* How to leverage HuggingFace inference API
* Git versioning system (in case some of you struggle with it)

In the following videos I'll cover Gradio and Next.js.
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✅ Streamlit docs: https://docs.streamlit.io/library/get...
✅ HuggingFace inference endpoint: https://huggingface.co/valhalla/disti...
✅ Git docs: https://git-scm.com/doc
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⌚️ Timetable:
00:00:00 Intro
00:00:53 Building Conda environment
00:02:55 Starting your first Streamlit app
00:04:28 Streamlit crash course!
00:34:58 Building our web app: Streamlit + HuggingFace inference API
00:38:18 Handling private keys in Streamlit
00:42:00 Building the front-end
00:53:20 Git crash course!
01:00:35 Deploying to Streamlit cloud!
01:03:33 Outro

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#streamlit #mlops #huggingface