README.md

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 API to create a web-based dashboard for analyzing emotions in text.

Requirements:

Python 3.7 or higher Hugging Face API

Installation

• Clone this repository to your local machine.
• Install the required packages using pip:

pip install -r requirements.txt

• Create a free account on the Hugging Face website to get an API key.

• 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>

Usage

• Navigate to the root directory of the project.

• Run the Streamlit app by typing streamlit run app.py or python -m streamlit run app.py in the command line.

• For GitHub Codespaces, Run: python -m streamlit run app.py --server.enableCORS false --server.enableXsrfProtection false

• 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.