Build an OpenAI + LangChain App in Python: YouTube Analyzer

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Haider Ali

2:12:53

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1 - Introduction

1 - Introduction to the course.mp4

04:41

2 - Python Installation.mp4

02:20

3 - Install VS Code.mp4

01:54

4 - Setup Project Structure in VS Code.mp4

04:56

5 - Sketch User Interface in ExcaliDraw.mp4

04:36

6 - Create GitHub Repository.mp4

08:12

2 - LangChain and OpenAI

7 - Introducing Pytube library.mp4

08:22

8 - Retrieve YouTube video transcript in Python.mp4

08:10

9 - Introduction to LangChain.mp4

03:20

10 - How to get OpenAI API Key.mp4

02:01

11 - Create Vector Database from Text File YouTube Transcript.mp4

25:23

12 - How to Query Vector Database.mp4

08:18

13 - Analyze YouTube Video Transcript.mp4

13:58

3 - Streamlits in Python

14 - Introduction to Streamlits.mp4

04:03

15 - How to install and run streamlits.mp4

05:48

4 - The Web Interface of Python app using streamlit

16 - Interface Design.mp4

07:20

17 - Developing Final version of the app.mp4

15:19

5 - Publishing the app

18 - Publish Project on GitHub.mp4

04:12

Description

Master Python Development, API Integration, and NLP Techniques to Create an Advanced YouTube Analyzer App

What You'll Learn?

Use LangChain framework to create AI applications
Use OpenAI API in Python Apps
Get transcript from YouTube video in Python
Create Web Applications in Python using Streamlits

Who is this for?

Developers who want to develop AI and NLP applications

Organizations who want to use its own data for AI Application

Organizations who want to develop their own ChatGPT like apps

What You Need to Know?

Basic programming concepts

More details

Description
In this course, you will begin by setting up your Python and VS Code development environment. We will then introduce the LangChain Framework, which is a powerful tool for building AI applications. You will also learn about obtaining an OpenAI API Key.

Throughout the course, we will guide you in developing a Python application that can read YouTube video transcripts using the pytube library. We will demonstrate how to create a Vector Database from these transcripts using LangChain. Additionally, you will learn how to query the Vector Database using the OpenAI API.

Furthermore, we will introduce you to Excalidraw, a versatile tool for creating visual illustrations.
App with elegant look and feel will be developed using Python streamlit. Separate lectures are provided on how to install and run strealit apps.
Finally, we will guide you in deploying your application using a cloud hosting service, ensuring that it is accessible through a web-based user interface.

By the end of this course, you will have gained the necessary skills to build a sophisticated Python app that can process YouTube video transcripts, utilize AI capabilities through the OpenAI API, and present the results through an intuitive web interface.
Complete source code will be shared with you on GitHub.
Who this course is for:
Developers who want to develop AI and NLP applications
Organizations who want to use its own data for AI Application
Organizations who want to develop their own ChatGPT like apps

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MSc Computer Science in 1993 with 29+ years of professional experience of developing apps.Developed 30+ applications so far, including apps in Flutter and Firebase. Started with Programming in 1989 with GW-BASIC, Pascal, FORTRAN, CoBOL, C, dBase and FoxPro.Later on switched to Visual Basic and Microsoft Access. Developed quite good number of database applications in Access.Sun Certified Java Programmer with a score of 89%. Worked on Java 2 Micro Edition (J2ME) in 2004 and 2005.

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