Deploy A Microsoft Azure Speech To Text Web App

Overview

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In this 2-hour-long project-based course, you will learn how to import the necessary python modules for Azure Speech to Text SDK, Create a function to transcribe audio to text, Build a web app using Streamlit and deploy the web app to Heroku. This project is a beginner python project for anyone interested in learning about how to productionize cloud speech-to-text services, Azure, particularly through a web app on Heroku and leveraging python audio modules. At the end of this project, learners will have a publicly available Streamlit web app that can transcribe uploaded audio files

Syllabus

Project Overview

Welcome to the “Deploy A Microsoft Azure Speech To Text Web App” guided project. In this project, we will deploy a web app that leverages Microsoft Azure's Cognitive services to transcribe uploaded WAV audio files with a python Streamlit app. This project is a beginner python project for anyone interested in learning about how to productionize cloud speech-to-text services, Azure, particularly through a web app on Heroku and leveraging python audio modules. At the end of this project, learners will have a publicly available Streamlit web app that can transcribe uploaded audio files.