Developing LLM App Frontends with Streamlit
1h 43m 52s
English
Paid
Course description
This byte-sized course will teach Streamlit fundamentals and how to use Streamlit to create a frontend for your LLM-powered applications.
Read more about the course
In this project-based course you'll learn to use Streamlit to create a frontend for an LLM-powered Q&A application. Streamlit is an open-source Python library that simplifies the creation and sharing of custom frontends for machine learning and data science apps with the world.
Watch Online
0:00
/ #1: Introduction
All Course Lessons (20)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 03:08 | |
| 2 | Introduction to Streamlit | 04:15 | |
| 3 | Streamlit Main Concepts | 05:28 | |
| 4 | Displaying Data on the Screen: st.write() and Magic | 05:32 | |
| 5 | Widgets Part 1: text_input, number_input, button | 05:10 | |
| 6 | Widgets Part 2: checkbox, radio, select | 07:25 | |
| 7 | Widgets Part 3: slider, file_uploader, camera_input, image | 08:15 | |
| 8 | Layout: Sidebar | 01:57 | |
| 9 | Layout: Columns | 04:30 | |
| 10 | Layout: Expander | 02:10 | |
| 11 | Displaying a Progress Bar | 03:08 | |
| 12 | Session State | 07:35 | |
| 13 | Callbacks | 06:08 | |
| 14 | Project Introduction and Library Installation | 04:09 | |
| 15 | Defining Functions | 06:14 | |
| 16 | Creating the Sidebar | 06:04 | |
| 17 | Reading, Chunking, and Embedding Data | 06:22 | |
| 18 | Asking Questions and Getting Answers | 05:25 | |
| 19 | Saving the Chat History | 06:00 | |
| 20 | Clearing Session State History using Callback Functions | 04:57 |
Unlock unlimited learning
Get instant access to all 19 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionComments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
Create UberEats with Python/Django and Swift 3
Sources: Code4Startup (coderealprojects)
Learn Python & Swift 3 by creating Real-life startup platform with Web dashboard and iOS app like UberEats, Doordash, Postmates.
19 hours 13 minutes 29 seconds
Python Data Visualization
Sources: Talkpython
Have you ever been confused by all the different python plotting libraries? Have you tried to make a "simple" plot and gotten stuck and been unable to move forw
4 hours 36 minutes 12 seconds
Django for Beginners/APIs/Professionals
Sources: leanpub
Django for Professionals Once you have learned the basics of Django there is a massive gap between building simple "toy apps" and what it takes to build a "pro