https://github.com/putuwaw/ed-bert

Emotion Detection using BERT
https://github.com/putuwaw/ed-bert

app-a-thon bert mysql streamlit

Last synced: 4 months ago
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Emotion Detection using BERT

• Host: GitHub
• URL: https://github.com/putuwaw/ed-bert
• Owner: putuwaw
• License: mit
• Created: 2023-05-08T01:06:43.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-24T01:50:56.000Z (almost 3 years ago)
• Last Synced: 2023-09-24T09:51:05.226Z (almost 3 years ago)
• Topics: app-a-thon, bert, mysql, streamlit
• Language: Python
• Homepage: https://ed-bert.streamlit.app
• Size: 744 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# ed-bert

![Python](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge&logo=python&logoColor=blue)

![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge&logo=Streamlit&logoColor=white)

![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge&logo=TensorFlow&logoColor=white)

![MySQL](https://img.shields.io/badge/MySQL-005C84?style=for-the-badge&logo=mysql&logoColor=white)

![LICENSE](https://img.shields.io/github/license/putuwaw/experimental-connection?style=for-the-badge)

![BUILD](https://img.shields.io/github/actions/workflow/status/putuwaw/ed-bert/lint.yml?style=for-the-badge)

Emotional Detection using Bidirectional Encoder Representations from Transformers (BERT).

## Features 🚀

Using ED-BERT, you can:

- [x] Detect emotion from text.

- [x] Report incorrect prediction and save the data on database.

- [x] Train your own model with additional data from database.

## Prerequisites 📋

- Python 3.10 or higher

- Streamlit 1.25.0 or higher

- MySQL 8.0.32 or higher

- Docker 24.0.4 or higher (optional)

- docker-compose 1.29.2 or higher (optional)

## Installation 🛠

## Manual Installation

- Clone the repository

```bash

git clone https://github.com/putuwaw/ed-bert.git

```

- Create virtual environment and activate it

```bash

python -m venv venv

source venv/bin/activate

```

- Install the dependencies

```bash

pip install -r requirements.txt

```

- Set up database using SQL dump in [init.sql](db/init.sql) file.

- Run the app

```bash

streamlit run Home.py

```

> [!IMPORTANT]  

> This repository contain .h5 file which is the model of ED-BERT. Please consider to read about Git Large File Storage.

## Docker Installation

- Clone the repository

```bash

git clone https://github.com/putuwaw/ed-bert.git

```

- Run the app

```bash

docker-compose up

```

## License 📝

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.