AI Sticky Notes
@safal098
Overview
What is AI Sticky Notes?
AI Sticky Notes is a desktop sticky notes application that provides note management with email notifications via the Gmail API and AI-powered summarization. It is for users who want a simple local note‑taking tool with automated email alerts and text summarization.
How to use AI Sticky Notes?
Clone the repository, set up a Python virtual environment, install dependencies with pip install -r requirements.txt, and configure the Gmail API by placing a credentials.json file in the project directory. Then run python main.py and issue commands such as add_note("text"), read_notes(), delete_note(index), or access the notes://latest resource.
Key features of AI Sticky Notes
- Quickly add notes to your collection
- View all saved notes
- Delete unwanted notes by their position
- Retrieve the most recent note
- Receive email alerts when new notes are added
- Generate summaries of your notes using AI
Use cases of AI Sticky Notes
- Jot down quick reminders and access them later
- Keep a running list of ideas with summarization
- Get email notifications whenever a new note is added
- Delete obsolete notes by index position
- Retrieve only the latest note without scanning all notes
FAQ from AI Sticky Notes
How do I set up email notifications?
You must enable the Gmail API via the Google Cloud Console, create an OAuth 2.0 Client ID (Desktop application), download the credentials as credentials.json, and place them in the project directory. On first run, a browser window will prompt authorization; a token.pickle file is then created for subsequent use.
How do I delete a note?
Use the delete_note(index) command, where index is the position of the note starting from 1.
What files are part of the application?
The repository includes main.py, notes.txt (storage file), credentials.json (not included), token.pickle (generated on first run), and requirements.txt.
How can I get the latest note without reading all notes?
Access the resource at notes://latest to retrieve the most recent note.
What dependencies are required?
All dependencies are listed in requirements.txt and can be installed with pip install -r requirements.txt.
