How to make a web app that transcribes YouTube videos with Streamlit | Part 1
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 …
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Chapters (15)
Introduction
0:19
App overview
0:31
Get your own free API token
1:01
Let's get started!
1:25
Creating the project structure
2:35
Installing dependencies
5:26
Starting the Streamlit application
6:40
Setting up youtube_dl constants
7:50
Setting up the AssemblyAI API options
8:33
Getting the free API token
9:39
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
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