Refactor chord voicings and add pentatonic snapping function for improved melody generation and tonal consistency

Refactor audio chain EQ settings and update chord voicings for improved tonal clarity and musical depth

Refactor audio processing and LSTM model for improved sound dynamics and melody generation

Refactor LSTM initialization and improve melody generation logic for enhanced musical output

Update music tempo calculation in get_music_beat function for improved entrainment accuracy

Update audio processing parameters for improved sound dynamics and adjust chord progressions for enhanced musical variety

Add hidden state support and enhance melody generation logic for better audio responsiveness

Refactor audio chain and drum engine for improved performance and responsiveness

refactor BioVibeAI model to support hidden state and improve melody generation logic

Delete 2 previous changes

Random hóa Hợp âm (Xóa bỏ sự đơn điệu)

Thay đổi cách tính nhịp điệu (Step/Beat)

refactor music generation by selecting a random song and ensuring sufficient length for seed tokens

refactor BioVibeAI model architecture by updating LSTM parameters and increasing layer count for improved performance

refactor music generation by adjusting synth volumes and batching note processing for improved timing

refactor music generation by adding new synths for pads, kick, and snare, and improving note handling in websocket

refactor music generation by batching note sending and improving timing dynamics

refactor websocket_vibe to adjust BPM handling and enhance chord progression dynamics

refactor audio processing logic to enhance sound quality and implement lo-fi chord progression

refactor websocket_vibe to streamline BPM handling and enhance note sending logic

enhance WebSocket integration to support real-time BPM updates and improve AI music generation logic

refactor imports in main.py for improved organization and clarity

refactor WebSocket integration for real-time MIDI generation, enhance AI music generation logic, and implement MIDI pitch clamping

add missing mido import to main.py

remove unused mido import from main.py and add it to requirements.txt

refactor generate_ai_midi function to adjust default number of notes from 64 to 40, enhance MIDI generation with improved chord progression and rhythm patterns, and implement fallback mechanism for insufficient MIDI notes

refactor generate_ai_midi function to increase default number of notes from 20 to 64 and optimize seed generation for improved performance

refactor generate_ai_midi function to reduce default number of notes from 40 to 20

refactor generate_ai_midi function to reduce default number of notes from 80 to 40 and remove mix_with_ambience call from generate_vibe endpoint

refactor generate_ai_midi function to enhance melody generation with structured rhythm patterns and improved pitch handling

add mix_with_ambience function to enhance AI-generated audio with piano and rain sounds

refactor generate_ai_midi function for improved melody generation and structure

reduce default note count and loop iterations in generate_ai_midi function for improved performance

refactor audio processing in apply_audio_pipeline function for improved clarity and enhanced sound quality

refactor status message in index.html for clarity and update audio processing functions in main.py for improved performance and sound quality

increase loop length in generate_ai_midi function to enhance music generation

reduce loop length in generate_ai_midi function to enhance performance

refactor imports in main.py to remove unused numpy copy

enhance generate_ai_midi to increase loop length, improve deep copy handling, and refine audio filtering parameters

enhance generate_ai_midi to increase loop length and fix deep copy of elements

refactor generate_ai_midi to improve music generation logic and enhance output quality

update generate_ai_midi to print first 20 events and refine audio processing parameters

enhance generate_ai_midi by adding random pitch filtering and setting instrument channel

add logging for output stream length and final offset in generate_ai_midi

refactor generate_ai_midi to add instrument only once and avoid duplicates

update

update

fix

update note generation logging and adjust audio filter frequency

update model AI