Emotion Detection using DistilBERT Model

This project is an implementation of emotion detection in Python using a pre-trained model (bhadresh-savani/distilbert-base-uncased-emotion) from Hugging Face's transformers library. The program takes an input text and returns emotion scores for various emotions like joy, sadness, anger, etc.

Prerequisites

Before running this project, make sure you have the following installed:

• Python 3.x
• pip (Python package installer)
• transformers and torch libraries

Setup

1. Clone the repository or create the project folder

If you're starting from scratch, create a folder for your project and open it in VS Code.

mkdir emotion-detection
cd emotion-detection
code .