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

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 20 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Introduction

All Course Lessons (20)

#Lesson TitleDurationAccess
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 subscription

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

Python on the Backend

Python on the Backend

Sources: udemy
Do you know Python and want to take it to the next level? How about writing a website in Python, or an API so your fellow developers can consume in JSON over si
3 hours 51 minutes 33 seconds
Complete Backend (API) Development with Python A-Z

Complete Backend (API) Development with Python A-Z

Sources: udemy
This course for anyone who wants to be python backend developer. You will learn what is API and some python API frameworks. You will find all the fundamentals about backend deve...
12 hours 35 minutes 9 seconds
Mastering OpenAI Python APIs: Unleash ChatGPT and GPT4

Mastering OpenAI Python APIs: Unleash ChatGPT and GPT4

Sources: udemy
Unleash the Power of AI: Master OpenAI's APIs, including GPT-4, DALL-E, and Whisper in this Comprehensive and Hands-On Course. This is a brand new course, recorded with GPT-4! S...
13 hours 4 minutes 58 seconds
Web Components For Beginners

Web Components For Beginners

Sources: leveluptutorials
Web Components are a set of features that provide a standard component model for the Web[1] allowing for encapsulation and interoperability of individual HTML e
3 hours 1 minute 52 seconds