English | Size: 1.06 GB
Genre: eLearning
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
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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