metadata

license: apache-2.0
title: GoEmotions Dashboard
sdk: streamlit
sdk_version: 1.22.0
app_file: app.py

GoEmotions Dashboard - Analyzing Emotions in Text

This is a Python script that uses Streamlit, Plotly, and the Hugging Face Inference API to create a web-based dashboard for analyzing emotions in text.

Pre-requisites:

Python 3.7 or higher

Project Structure:

GoEmotions/
├── app.py
├── requirements.txt
├── .env
├── README.md
└── assets/

Installation

Step 1 - Clone this repository to your local machine.

git clone https://github.com/SudhanshuBlaze/GoEmotions.git

Step 2 - Install the required packages using pip:

pip install -r requirements.txt

Step 3- Create a free account on the Hugging Face website to get an API key.

Step 4

Create a .env file in the root directory of the project and add your
Hugging Face API key like this: HF_API_KEY=<your_api_key_here>

Step 5 - Navigate to the root directory of the project.

cd GoEmotions

Step 6 - Run the Streamlit app.

streamlit run app.py

If you want to run this application on GitHub Codespaces, you will need to add the following flags to the streamlit run command:

python -m streamlit run app.py --server.enableCORS false --server.enableXsrfProtection false

Usage:

A web-based dashboard will open in your default browser.
Type or paste a text input in the text box provided.
The dashboard will display the detected emotions in a set of gauges, with each gauge representing the intensity of a specific emotion category.
The gauge colors are based on a predefined color map for each emotion category.