Input audio device manager

Manager of input audio devices for the top bar of Ubuntu

The best real-time input audio devices management tool

Manage the input audio devices directly from the Ubuntu top bar with Input audio device manager. This application is fully integrated with the latest Ubuntu operating system. Manage your input audio devices quickly and easily. Download it now and take control of your devices!

About Input audio device manager

Input audio device manager is an intuitive tool designed to manage the input audio devices quickly and easily. It integrates perfectly with the Ubuntu top bar, providing total control at your fingertips.

Key Features

Easy and simple: Change the input audio device with a simple click
Time-saving: Quickly switch between input audio devices without having to open the Ubuntu settings

Installation

Clone the repository

Clone it with https

	
		git clone https://github.com/maximofn/input_audio_device.git

or with ssh

	
		git clone git@github.com:maximofn/input_audio_device.git

Install the dependencies

Make sure you don't have any venv or conda environment installed

	
		if [ -n "$VIRTUAL_ENV" ]; then
    deactivate
fi
if command -v conda &>/dev/null; then
    conda deactivate
fi

Run at startup

Run this script

	
		./add_to_startup.sh

After restarting your computer, Input audio device manager will start automatically.

Support

If you like it consider giving the repository a star ⭐, but if you really like it consider buying me a coffee ☕.

Continue reading

Make a real-time AI application with FastRTC

If you have problems making a real-time AI application, FastRTC can help you. In this post I explain how to use it.

Generate videos with Wan2.1-T2V-14B and Inference Providers

Do you want to have your own Sora, but also generate good videos? In this post I explain how to do it with HuggingFace Inference Providers and Replicate.

Deploy backend with LLM in HuggingFace

Do you want to deploy a backend with your own LLM? In this post I explain how to do it with HuggingFace Spaces, FastAPI, Langchain and Docker.

Last posts -->

Have you seen these projects?

Subtify

GPU monitor

Alfred

View all projects -->

Do you want to apply AI in your project? Contact me!

Do you want to improve with these tips?

Memory profiler

See the memory usage of a script

DataLoader with pin_memory and num_workers

Increase DataLoader performance with pin_memory and num_workers

py-smi

Python library to get GPU data like `nvidia-smi`

Last tips -->

Use this locally

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.