---
# System prepended metadata

title: StandupBento

---

# StandupBento

# 💭 Introduction

Searching through text for trends or identifying issues is extremely important; thus, labelling the text is a necessary but arduous task. It's made only harder when needing to relate differing responses across subjects.

This project aims to alleviate that difficulty through the use of BERT, a sentence embedding ML model.

## 🎯 Features 

- Get analysis on standups
- Something
- Also something lol

## 📖 Documentation Details

This project is built with `standupman`, `BentoML` and `streamlit`

## 🚀 Getting Started

You can choose to run your own instance of standupman or use another to get data for anaylsis.

## ⚡ Installation
#### Client application
##### Install dependencies

```bash
cd client
pip install -r requirements.txt
```

##### Run development server

```bash
cd client
streamlit main.py
```

---
#### Standupman API
##### Install dependencies

```bash
cd standupman
npm install
```
##### Run development server

```bash
cd standupman
npm run dev
```
## 📖 Learn More

[BentoML](https://github.com/bentoml/BentoML)
[Standupman](https://github.com/standupman/standupman)

## :wrench: Tech Stack

- Streamlit
- Standupman API
- Linode
- GitHub Actions

## 👨‍💻 Contributors 

<table>
  <tr>
    <td align="center"><a href="https://github.com/Green-Ranger11"><img src="https://avatars.githubusercontent.com/u/39209557?v=4" width="100px;" alt="" style="border-radius:50%"/><br /><sub><b>Alesana Lealofi Eteuati Jr
</b></sub></a><br /></td>
    <td align="center"><a href="https://github.com/splch"><img src="https://avatars.githubusercontent.com/u/25377399?v=4" width="100px;" alt="" style="border-radius:50%"/><br /><sub><b>Spencer Churchill</b></sub></a><br /></td>
    <td align="center"><a href="https://github.com/huilunang"><img src="https://avatars.githubusercontent.com/u/57522846?v=4" width="100px;" alt="" style="border-radius:50%"/><br /><sub><b>Huilun Ang</b></sub></a><br /></td>
  </tr>
</table>