| title | Smart Notes |
|---|---|
| emoji | ✒️ |
| sdk | gradio |
| sdk_version | 5.49.1 |
| app_file | app.py |
| pinned | false |
A quite basic small demo using Hugging Face public APIs to summarize notes, extract tags, and detect sentiment. It saves everything to a SQLite database, and you can see your recent notes in a basic history page.
Built with Python and Flask. All credit goes to the people who made the models — I’m just calling them.
- facebook/bart-large-cnn (summarization)
- dslim/bert-base-NER (tags)
- cardiffnlp/twitter-roberta-base-sentiment (sentiment)
- Works best with English text. Non-English input may not work.
- Stores notes locally in SQLite; you can view recent notes in a history page.
All credit goes to the teams behind the Hugging Face models. This project is just a small interface for their APIs.