i-Note-It: Enhanced Note-Taking Experience with Artificial Intelligence

• Latest Features
• How to use?
  • Web Streamlit Demo
  • Local Streamlit Demo
    • Prerequisites
    • Steps
      • Environment Configuration
        • Recommended (For Win64 Platform Only, Unfortunately)
        • Alternative
      • config.py
• Behind the Scene
  • Language Model
    • Note Generation
      • Original Approach
      • Final Approach
    • "Hyperparameter" Tuning
    • Chatbot
  • UI Design
    • Tools
    • Layout
    • Logo
• Future Plans and Improvements
• Contributors
• Bug Reports and Feature Requests
• License

Latest Features 🌟

• Convert textual input, such as lecture transcripts and literature, into streamlined and hierarchical markdown formatted notes.

• The note generation performs best with English lecture transcripts that start and end with a complete word.

  • Other textual content, such as emoji, math formulas, and programming language(especially Python) are supported.
  • Language other than English is supported.
    • Languages Tested: English, Chinese

• Able to download the markdown file of the formatted note.

• A chatbot that can answer detailed inquiries related to the input.

  • This is useful when the user wants to have a deeper understanding of the material.
    • For example, the user can input the class lecture transcript and generate the note. The user is then able to ask a question related to the class lecture that is inputted.

How to use? 📖

Web Streamlit Demo (OUTDATED)

Local Streamlit Demo

Prerequisites

Tool	Version/Link
Python	3.7 - 3.10 (The demo uses Python 3.9)
Streamlit	https://github.com/streamlit/streamlit
st-chat	https://github.com/AI-Yash/st-chat
AI21 Studio API Key	https://docs.ai21.com/

Steps

NOTE BEFORE PROCEEDING: If you want to have a local version of the demo, you will need a custom-train Jurassic-1 Grande Model. For more information on obtaining your model, feel free to reach out in the Discussions or Issues sections for more detail.

Environment Configuration

Recommended (For Win64 Platform Only, Unfortunately)

1. Clone this GitHub Repository
2. Follow the instruction in the requirements.txt to initialize the conda environment

Alternative

1. Install the packages listed in the prerequisite (suggest using Anaconda to manage the environment)

config.py

• As you may or may not notice, the program requires a config.py and we did not include it for not sharing the API token.
• You are going to set it up in your local environment, here is how:
  1. Once you have done all the steps above(Configured the environment), go to your cloned repository.
  2. Navigate into the scripts folder of the cloned repository.
  3. Create a config.py file with content in the following format

  API_TOKEN = ""       
  NOTETAKER_MODEL_URL = ""
  NOTEBOT_MODEL_URL = ""

  • API_TOKEN: Your AI21 Studio API KEY
  • NOTETAKER_MODEL_URL = The URL of your customized note-generation model
  • NOTEBOT_MODEL_URL = The URL of your chatbot model
    • ex

      NOTEBOT_MODEL_URL = "https://api.ai21.com/studio/v1/j1-jumbo/complete"

Behind the Scene 🌤️

Language Model

Note Generation

Original Approach

• Prompt Engineering (Jurassic-1 Grande Model)
  • Zero-Shot Prompt
    • Simply asking the model to generate notes without providing examples
    • Worse Performance, give illogical and inconsistent outputs
  • Few-Shots Prompt
    • Asking the model to generate notes by providing it with a few examples
    • Better than the zero-shot prompt, but have a higher latency

Final Approach

• AI21 Lab Customized Jurassic-1 Grande Model
  • Trained a customized note generation model on the top of Jurassic-1 Grande
  • Training data comes from video transcripts from various platforms such as Canvas, Youtube， TED Talks, and Coursera covering various domains/subjects. In addition, English literature such as the passages from William Shakespeare are included in the training data
    • Feel Free to reach out, such as in the Discussions or Issues for a more detailed explanation of the training process
  • Overall better performance and lower latency than the original approach

"Hyperparameter" Tuning

• Note-taking does not require too much randomness, but low temperature makes the notes tedious. Thus, we kept the temperature at about 0.3 to let the model be creative. We also tuned the max-token of the model to optimize for the best note generation result

Chatbot

• AI21 Lab Jurassic-1 Jumbo Model
  • Use 3 instructions as prompt, see notebot.py
  • Feed the input transcript as the Context for the Question Inquiry

UI Design 🖌️

Tools

Tool	Usage
Streamlit	note-generation interface
st-chat	chatbot for Question-Answering
Figma	logo design

Layout

• For the two main features of our application, we let the main feature, the text input, and note area, cover most upper area of the page. We then put the Chatbot below as an auxiliary feature.

Logo

• The three parts of the logo match "i", "Note", and "It", respectively. This AI note-generation idea reminds us of how people took notes in ancient China with a writing brush, which required so much effort and preparation. Now, not only have "i" changed from human to A"I", but the writing brush we used for "N"ote has changed to keyboard. We are excited about how AI will bring more convenience to other aspects of human lives, just like the way we take notes can be revolutionized by AI, and just like the way this logo design was inspired by ideas from Stable Diffusion.

Future Plans and Improvements

Features/Plans	Specifics
Note Generation	domain-specific and user-specific larger input size variety of Input format Audio Video Web URL ... Richer Markdown format, such as highlighting important information
User Interface	More professional and well-designed User Interface
Supporting Platforms	Multiple Platforms
...	...

Contributors

• See Contribute

Bug Reports and Feature Requests

• See Bug Report
• See Feature Request

License

• See License