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ed-bert\n\n![Python](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge\u0026logo=python\u0026logoColor=blue)\n![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge\u0026logo=Streamlit\u0026logoColor=white)\n![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge\u0026logo=TensorFlow\u0026logoColor=white)\n![MySQL](https://img.shields.io/badge/MySQL-005C84?style=for-the-badge\u0026logo=mysql\u0026logoColor=white)\n![LICENSE](https://img.shields.io/github/license/putuwaw/experimental-connection?style=for-the-badge)\n![BUILD](https://img.shields.io/github/actions/workflow/status/putuwaw/ed-bert/lint.yml?style=for-the-badge)\n\nEmotional Detection using Bidirectional Encoder Representations from Transformers (BERT).\n\n## Features 🚀\n\nUsing ED-BERT, you can:\n\n- [x] Detect emotion from text.\n- [x] Report incorrect prediction and save the data on database.\n- [x] Train your own model with additional data from database.\n\n## Prerequisites 📋\n\n- Python 3.10 or higher\n- Streamlit 1.25.0 or higher\n- MySQL 8.0.32 or higher\n- Docker 24.0.4 or higher (optional)\n- docker-compose 1.29.2 or higher (optional)\n\n## Installation 🛠\n\n## Manual Installation\n\n- Clone the repository\n\n```bash\ngit clone https://github.com/putuwaw/ed-bert.git\n```\n\n- Create virtual environment and activate it\n\n```bash\npython -m venv venv\nsource venv/bin/activate\n```\n\n- Install the dependencies\n\n```bash\npip install -r requirements.txt\n```\n- Set up database using SQL dump in [init.sql](db/init.sql) file.\n\n- Run the app\n\n```bash\nstreamlit run Home.py\n```\n\n\u003e [!IMPORTANT]  \n\u003e This repository contain .h5 file which is the model of ED-BERT. Please consider to read about Git Large File Storage.\n\n## Docker Installation\n\n- Clone the repository\n\n```bash\ngit clone https://github.com/putuwaw/ed-bert.git\n```\n\n- Run the app\n\n```bash\ndocker-compose up\n```\n\n## License 📝\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fputuwaw%2Fed-bert","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fputuwaw%2Fed-bert","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fputuwaw%2Fed-bert/lists"}