Let's build an interactive web app that can transcribe YouTube videos in minutes! Streamlit is a great Python library that makes web development a piece of cake. And on top of Streamlit's powerful framework we will plug in Assembly AI's easy-to-use API to quickly upload and transcribe audio files. Sign up for a free AssemblyAI API token here 👇 https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_mis_2 In the first part of the tutorial we will create a project structure, install all necessary dependencies, create a base Streamlit app with which we can test our code and develop the Python function that starts the transcription process. We will use three main libraries: Streamlit, YouTube_dl and FFmpeg. These libraries will enable us to create a front-end for our project, download youtube videos and extract audio files from youtube videos respectively. All the code in this tutorial is shared through a public Github repository. (https://github.com/misraturp/YouTube-transcriber) This is all possible with only the free API token provided by Assembly AI. Sign up to get your own free API token here: https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=channel_assemblyai 👩‍💻 Grab the code: https://github.com/misraturp/YouTube-transcriber 📥 Download FFmpeg: https://ffbinaries.com/downloads ✍️ See this tutorial in written format: https://www.assemblyai.com/blog/how-to-get-the-transcript-of-a-youtube-video/ 00:00 Introduction 00:19 App overview 00:31 Get your own free API token 01:01 Let's get started! 01:25 Creating the project structure 02:35 Installing dependencies 05:26 Starting the Streamlit application 06:40 Setting up youtube_dl constants 07:50 Setting up the AssemblyAI API options 08:33 Getting the free API token 09:39 Extracting audio from the YouTube video 12:38 Uploading the audio to AssemblyAI 13:15 Starting the transcription 15:22 Checking that the code works correctly 16:31 Like and subscribe!