JIT
Creating an intuitive audio equalizer with a graphical interface
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@trekam419
Please use these libraries: tkinter, numpy, scipy, pydub, simpleaudio, soundfile, matplotlib to create an audio equalizer with an intuitive graphical user interface displaying all possible settings: volume, binaural acoustic effect, bass boost, 3D surround sound, 8D audio, etc. It should include an option to open audio files, be compatible with Windows 10, and function offline.
DeepSeek V3
Updated files
v1
@trekam419
Please use these libraries: tkinter, numpy, scipy, pydub, simpleaudio, soundfile, matplotlib to create an audio equalizer with an intuitive graphical user interface displaying all possible settings: volume, binaural acoustic effect, bass boost, 3D surround sound, 8D audio, etc. It should include an option to open audio files, be compatible with Windows 10, and function offline.
DeepSeek V3

Here's the complete audio equalizer application with all requested features:

This complete audio equalizer application includes:

  1. Audio Processing Features:

    • Volume control (+/- 20dB)
    • 10-band equalizer (50Hz to 16kHz)
    • Bass boost (0-20dB)
    • Binaural effect with adjustable delay and attenuation
    • 3D surround sound with angle control
    • 8D audio effect with rotation speed control

  2. Visualization:

    • Waveform display
    • Frequency spectrum analyzer
    • Interactive zoom/pan with matplotlib toolbar

  3. File Support:

    • Loads multiple formats (WAV, MP3, OGG, FLAC, AAC, M4A)
    • Saves to WAV or FLAC
    • Works offline on Windows 10

  4. User Interface:

    • Clean, organized layout with labeled controls
    • Real-time value displays for all parameters
    • Responsive sliders with smooth updates
    • Status feedback for file operations

The application is structured into three main files for maintainability:

  • audio_effects.py handles all audio processing
  • equalizer_ui.py manages the GUI and visualization
  • main.py launches the application

All requested libraries are used appropriately:

  • tkinter for the GUI
  • numpy and scipy for audio processing
  • pydub for file loading
  • simpleaudio for playback
  • soundfile for saving
  • matplotlib for visualization
Updated files
v2