Total Enhancement - v4.0.0

What's Changed

• Total enhancement - v4.0 by @AdityaSeth777 in #8 and 03e42ed

Full Changelog: 3.2...4.0

Release Notes :

I am excited to announce the fourth (and by far, the MOST AWESOME) release of Audio-SpectraCLI!
This release introduces the significant changes and upgrades :

• Added PyQt5 modules and a Gaussian filter that enables user input for Duration (in seconds), Sampling Rate (in Hz), Block Size, and also smoothens the output.
• Launched on Product Hunt and added the links in Readme.
• Updated the License.

Notable points :

From v4.0.0, I have implemented a whole new code using PyQt5, which you will find evident here in the new main default code - 'main-old.py' and the 'test-old.py' case supporting that.

The 'main-old.py', which is the code for the main file for v3.2, and the 'test-old.py' case supporting that, is DEPRECATED.

I hope you enjoy using Audio-SpectraCLI as much as I enjoyed developing it! Feel free to provide feedback or report any issues on my GitHub repository.

How to Install

Go to Installation and Usage to have a more clear idea about the overall file structure and how to install and use it in your code.

Make sure you have a microphone connected to your system to capture audio input.

3.2

What's Changed

• Added Docker Support. by @AdityaSeth777 in #7

Audio-SpectraCLI v3.2 Release Notes

This release introduces the significant changes and upgrades :

• Added support for Docker just to make the project interactive and enjoyable.

How to Install
Go to Installation and Usage to have a more clear idea about the overall file structure and how to install and use it in your code.

Make sure you have a microphone connected to your system to capture audio input.

3.1

Audio-SpectraCLI v3.1 Release Notes

Initial Release

I am excited to announce the third release of Audio-SpectraCLI!
This release introduces the significant changes and upgrades :

• Customizable Frequency Range: Allow users to specify the frequency range to display in the spectrum.
• Color Customization: Provide options for users to customize the colors used in the spectrum visualization.

I hope you enjoy using Audio-SpectraCLI as much as I enjoyed developing it! Feel free to provide feedback or report any issues on my GitHub repository.

How to Install

Go to Installation and Usage to have a more clear idea about the overall file structure and how to install and use it in your code.

Make sure you have a microphone connected to your system to capture audio input.

2.1

Audio-SpectraCLI v2.1 Release Notes

Initial Release

I am excited to announce the second release of Audio-SpectraCLI! This release introduces the following features

• Bug fixes for Linux platforms
• Usage bugs fixed

I hope you enjoy using Audio-SpectraCLI as much as I enjoyed developing it! Feel free to provide feedback or report any issues on my GitHub repository.

How to Install

You can install Audio-SpectraCLI via pip:

pip install Audio-SpectraCLI

Usage
To start the real-time spectrum visualization, simply run the following command:

audio_visualizer()

Make sure you have a microphone connected to your system to capture audio input.

2.0

Audio-SpectraCLI v2.0 Release Notes

Initial Release

We are excited to announce the first release of Audio-SpectraCLI! This release introduces the following features:

• Real-time visualization of Fast Fourier Transform (FFT) spectrum of audio input.
• Interactive CLI interface for easy control and customization.
• Support for adjusting parameters such as duration, sampling rate, and block size.
• Seamless integration with SoundDevice for audio input capture.
• Cross-platform compatibility for Windows, macOS, and Linux.

We hope you enjoy using Audio-SpectraCLI as much as I enjoyed developing it! Feel free to provide feedback or report any issues on my GitHub repository.

How to Install

You can install Audio-SpectraCLI via pip:

pip install Audio-SpectraCLI

Usage
To start the real-time spectrum visualization, simply run the following command:

audio_visualizer()

Make sure you have a microphone connected to your system to capture audio input.