---
title: Research Notes Matcher
emoji: 🏢
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 5.1.0
app_file: app.py
pinned: false
license: mit
short_description: Assist you to match bucnhes of text with your reference note
---

# Research Notes Matcher

This application allows you to find the top 5 matching research notes based on your input text. The tool uses a pre-trained language model from Hugging Face's Sentence Transformers to compute semantic similarity between the notes and the user input.

## Features

- **Upload CSV**: Upload a CSV file containing research notes.
- **Text Input**: Enter your text to find the most relevant notes.
- **Semantic Matching**: The application uses a Sentence Transformer to provide more meaningful matches compared to traditional methods.

## Requirements

Make sure to install the following packages:

```bash
pip install gradio pandas sentence-transformers scikit-learn
```

## Usage

1. Run the application.
2. Upload a CSV file with the columns **Source**, **Section**, and **Notes**.
3. Type your content in the provided textbox.
4. Click the submit button to see the top 5 matching entries.

## Sample CSV Format

Your CSV file should have the following columns:

| Source  | Section  | Notes  |
|---------|----------|--------|
| Source1 | Section1 | Note1  |
| Source2 | Section2 | Note2  |

## Launching the Application

To run the application, execute the following command in your terminal:

```bash
python app.py
```

Replace `app.py` with the name of your Python file if it's different.

## License

This project is licensed under the MIT License.

## Acknowledgements

- [Gradio](https://gradio.app/) for creating the user interface.
- [Hugging Face](https://huggingface.co/sentence-transformers) for providing the Sentence Transformers.


----