Creating an AI-Enhanced Podcast Web App: Comprehensive Tutorial
In this video, I'll guide you through building an AI-enabled full stack web app that not only crawls and processes data from various links but also generates a podcast script and audio using state-of-the-art technologies. We'll explore the step-by-step process using Firecrawl for data scraping, the Llama 90B model via Groq for LLM inference, and ElevenLabs for text-to-speech conversion. I'll cover everything from the front end and backend to setting up and deploying the application. Additionally, you'll learn about error handling, integrating audio functionalities, and using simple animations. By the end of this video, you'll be able to configure and run your own comprehensive podcast engine. Check the description for all the necessary links and resources.
Repo: https://github.com/developersdigest/l...
You can obtain these API keys from the following sources:
FireCrawl API Key - https://www.firecrawl.dev/app/api-keys
Groq API Key - https://console.groq.com/keys
ElevenLabs API Key - https://try.elevenlabs.io/ghybe9fk5htz
00:00 Introduction to Building an AI-Enabled Web App
01:04 Setting Up API Keys
02:36 Initializing the Project
03:11 Creating the Podcast Generation Route
04:45 Handling Audio File Creation and Storage
06:07 Sending Requests and Handling Responses
07:12 Managing Context Windows and Final Steps
08:44 Crafting a Hilarious and Informative Podcast
09:17 Customizing the Model and Frontend Updates
09:43 Handling LLM Responses and Errors
10:32 Setting Up the LLM Podcast Engine
11:12 Managing URLs and User Inputs
11:44 Post Requests and State Management
13:24 Audio Handling and Event Listeners
13:55 Adding Animations and Final Touches
15:33 Conclusion and Final Thoughts
