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 3: Deep Dive (Part 3 - Dictionaries, Sets, JSON)

Python 3: Deep Dive (Part 3 - Dictionaries, Sets, JSON)

Sources: udemy
This course is an in-depth look at Python dictionaries. Dictionaries are ubiquitous in Python. Classes are essentially dictionaries, modules are dictionaries, n
21 hours 58 minutes 5 seconds
Fullstack Flask: Build a Complete SaaS App with Flask

Fullstack Flask: Build a Complete SaaS App with Flask

Sources: fullstack.io
Build (and deploy) a real SaaS app in 8 weeks using Python and Flask with this self-paced, online course.
7 hours 33 minutes 4 seconds
Advanced Programming with Python

Advanced Programming with Python

Sources: David Beazley
"Advanced Programming in Python" is a practical journey through the key ideas and development tools that help write more reliable...
34 hours 56 minutes 12 seconds
[Full Stack] Airbnb Clone Coding

[Full Stack] Airbnb Clone Coding

Sources: Nomad Coders
In this series, we make an AirBnb clone. We will develop a complete stack that runs the entire loop, including front + back + distribution. As a result, after this course you wi...
29 hours 47 minutes 6 seconds