Learn how to build a content moderation app in Python for analyzing audio files by utilizing the AssemblyAI API and Streamlit library. The course covers transcribing audio files to text and performing content moderation on the transcribed text. The teaching method involves practical demonstrations and hands-on coding. This course is intended for Python developers interested in content moderation and audio analysis.
How to Build a Content Moderation App in Python for Analyzing Audio Files
Overview
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
Related Courses
-
Deploy A Microsoft Azure Speech To Text Web App
-
How to Build Your Own Speech-to-Text Transcription App in Python Using AssemblyAI and Streamlit
-
Open AI for Beginners: Programmatic Prompting
-
Natural Language Processing | Build LLM Web App | RNN & LSTM
-
NLP - Natural Language Processing with Python
-
Natural Language Processing Real World Use-cases in Python
