A web application built using Streamlit to detect emotions and sentiment from Indonesian text.
This project uses Machine Learning models (Naive Bayes, Random Forest, and SVM) trained with TF-IDF vectorization and stored as .pkl files for direct use.

1. Clone repository:

git clone https://github.com/hilmansw/emotion-detection-app.git
cd emotion-detection-app

2. Create virtual environment (optional but recommended):

python -m venv venv

Activate environment:

• Windows: venv\Scripts\activate
• Linux/Mac: source venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

Run the following command:

streamlit run app.py