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How to Build Your Own Speech-to-Text Transcription App in Python Using AssemblyAI and Streamlit

Offered By: Data Professor via YouTube

Tags

Streamlit Courses Natural Language Processing (NLP) Courses Web Development Courses Data Science Courses

Course Description

Overview

Learn how to build a Speech-to-Text Transcription App in Python using AssemblyAI API and Streamlit. Explore the process of transcribing YouTube videos using the pytube library and AssemblyAI's speech-to-text capabilities. Develop both a command-line tool with argparse and a web application using Streamlit for easy deployment. Follow along as the tutorial covers obtaining an API key, implementing transcription on Google Colab, and creating user-friendly interfaces for your transcription tool. Gain hands-on experience in integrating powerful APIs and building practical applications for speech-to-text conversion.

Syllabus

Introduction
About AssemblyAI
Using AssemblyAI for transcription on Colab
Obtaining the API key
Building the Transcriber command line tool
Building the Transcriber web app using Streamlit


Taught by

Data Professor

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