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Build an OpenAI + LangChain App in Python: YouTube Analyzer
Rating: 3.9 out of 5(5 ratings)
73 students

Build an OpenAI + LangChain App in Python: YouTube Analyzer

Master Python Development, API Integration, and NLP Techniques to Create an Advanced YouTube Analyzer App
Created byHaider Ali
Last updated 12/2023
English
English [Auto],

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

Course content

5 sections • 20 lectures • 2h 21m total length

  • Introduction to the course4:41

    Develop a Python OpenAI and LangChain powered YouTube analyzer by building a Streamlit web app, fetching YouTube transcripts with pytube and YouTube Transcript API, and analyzing with OpenAI via LangChain.

  • Python Installation2:20

    Learn to install Python on Windows by downloading the available 3.11.3 release from python.org, running the setup, and verifying the installation with python --version.

  • Install VS Code1:54

    install vscode on windows 10 by downloading the installer from the visual studio code website, running the setup, accepting the agreement, and completing the default options to launch vscode.

  • Setup Project Structure in VS Code4:56

    Set up a Python project in Visual Studio Code by creating a YouTube analyzer folder, creating and activating a virtual environment, selecting the interpreter, and running a hello world program.

  • Sketch User Interface in ExcaliDraw4:36

    Sketch the YouTube analyzer UI in Excalidraw, including a title, description, YouTube video URL input, text box, and analyze button that displays a thumbnail and analysis, built with Python Streamlit.

  • Create GitHub Repository8:12

    Initialize a git repository for your Python project, then add and commit files, and connect to a remote GitHub repository to push updates, enabling rollback, branching, and collaboration.

Requirements

  • Basic programming concepts

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 streamlit 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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