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How to Build a Content Moderation App in Python for Analyzing Audio Files

Offered By: Data Professor via YouTube

Tags

Natural Language Processing (NLP) Courses Python Courses Streamlit Courses Content Moderation Courses

Course Description

Overview

Learn how to build a content moderation app in Python for analyzing audio files extracted from YouTube videos. Explore the process of using the AssemblyAI API to transcribe audio files and perform content moderation on the resulting text. Follow along as the video guides you through obtaining an API key, cloning the GitHub repository, and deploying a Streamlit app. Gain insights into using the Content Moderation app and understand its inner workings through a detailed explanation. By the end of this 20-minute tutorial, you'll have the knowledge to create your own content moderation tool for audio analysis.

Syllabus

Introduction
Content moderation
Getting the AssemblyAI API key
Cloning the GitHub repo and deploying the Streamlit app
Using the Content Moderation app
Explanation of the app
Conclusion


Taught by

Data Professor

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