Emotion Detection

This application detects emotions from either uploads of an audio, image, video or through real-time processing.

Datasets 🗃️

• FER-2013
• RAVDESS Emotional speech audio
• Toronto emotional speech set (TESS)

Setup & Installation

Prerequisites

Ensure the following are installed

• Git
• Python
• FFmpeg
• Jupter Notebook (or install the Jupyter extension on Visual Studio Code).

To set up this project locally, follow these steps:

1. Clone the repository:

git clone https://github.com/thebugged/emotion-detection.git

2. Change into the project directory:

cd emotion-detection

3. Install the required dependencies:

pip install -r requirements.txt

Running the application

1. Run the command:

streamlit run main.py

2. Alternatively, you can run the face.ipynb and audio.ipynb notebooks to get their respective models then run the command in 1.

The application will be available in your browser at http://localhost:8501.