Music Generation using Neural Networks Streamlit App

Overview

Music_Gen_Streamlit

"Music Generation using Neural Networks" Streamlit App

TO DO:

  • Make a run_app.sh

  • Introduction [~5 min] (Sohaib)

    • Team Member names/intro (WS 2019/2020, course name)
    • Outline
      • Introduction
      • Data
      • Phase 1
      • Phase 2
      • Neural DJ
    • Literature review
      • Refer to the literature slides
  • Data Analysis [~10 min] (Shivaani)

    • General Info about data
      • Add charts and sources about data (Lakh and RedditPop)
    • DataProcessing Pipeline Graph (streamlit graph docs/ Abdallah's choice)
    • Raw MIDI data
      • Music21 intro and applications
      • show raw midi (without explanation, button to visualize raw midi (Sohaib))
    • Tokenized MIDI
      • Show Tokenized with variable length
      • Expand Tokens (musicautobot, go through section and see if its too explained)
    • Play MIDI (Sohaib)
      • Phase 1
        • Play original
        • Play extracted
      • Phase 2
        • Play sample (Lakh)
  • Add Model() (Abdallah)

    • Phase 1
      • Modeling (Hugging Face OpenAI GPT2)
      • Data
        • Only Piano (extracction process)
      • Tokenization problem
    • Phase 2
      • Modeling (Architecture, Transformer XL)
      • Data
        • Used piano, but then ran into problems
        • handle big files problem
      • musicautobot API for data
  • Add Prediction() (Code: Sohaib)

    • Overview of pred process
    • Play
      • Play original
      • Play predicted
    • Visualize
      • Note sheet original
      • Note sheet predicted
    • [?] Metrics
  • Technical Service/Deployment Pipeline (Code: Sohaib)

    • make a requirements.txt
    • Docker and heroku deployment
      • Make container
      • Check functionalities for each functional part of interface

Use Docker to run

make sure you have docker installed ./run_app.sh (this will take around 7-10 mins) then go to : localost:8501

RUN DEMO

https://neuralpiano.herokuapp.com/

Owner
Muhammad Sohaib Arshid
Muhammad Sohaib Arshid
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