Deploy A Microsoft Azure Speech To Text Web App
About this course
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
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What you'll learn
- import and configure Azure Speech‑to‑Text SDK in Python
- write a function that transcribes audio files to text
- build a simple Streamlit web interface for audio upload and display of transcription
- deploy a Python web app to Heroku and obtain a public URL
Course objectives
- set up the Python environment with Azure and audio processing libraries
- implement audio transcription using Azure’s cloud service
- create a user‑friendly web front‑end with Streamlit
- publish the app on Heroku for external access
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