Introduction to Whisper Service

The Whisper service, based on OpenAI's Whisper, is a game-changer for building pipelines of processing based on voice recognition or transcription services. In this article, we will explore how to set up a Whisper service and create a web interface for it.

Overview of Whisper

Introduction to Whisper Service Whisper is a great start for building a pipeline of processing based on voice recognition or transcription services. It can be used to produce subtitles for short-form content, and everything is done locally and can be self-hosted, even on legacy hardware.

Setting Up the Whisper Service

Setting Up Whisper Service To set up the Whisper service, we need to clone the GitHub repository and create a Python virtual environment. We will then install the required dependencies and launch the app script.

Creating a Python Virtual Environment

Creating a Python Virtual Environment We need to create a Python virtual environment to install the required dependencies. We can use any Python 3 version between 3.8 and 3.11.

Installing Dependencies

We need to install the required dependencies, including python-dotenv and ffmpeg. We can install them using apt.

Launching the App Script

Launching the App Script We can launch the app script by executing the app.py file. This will start the Whisper service.

Testing the Whisper Service

Testing the Whisper Service We can test the Whisper service by sending an audio file to the service using the curl command.

Creating a Web Interface

Creating a Web Interface We can create a web interface for the Whisper service using a separate project. We will use flask to create the web interface.

Configuring the Web Interface

Configuring the Web Interface We need to configure the web interface by setting the SECRET_KEY and REST_ENDPOINT variables.

Starting the Web Interface

Starting the Web Interface We can start the web interface by executing the app.py file.

Testing the Web Interface

Testing the Web Interface We can test the web interface by opening it in our browser and sending an audio file to the service.

Conclusion

Conclusion In this article, we have explored how to set up a Whisper service and create a web interface for it. We have also tested the web interface by sending an audio file to the service. The GitHub repositories will remain frozen to be consistent with what is shown in this video. If any changes are made, a new repository will be created, accompanied by another video on this channel.