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A model for emotion classification based on text and audio.

Project description

Emotion

A model for emotion classification based on text and audio.

emotion - push MIT License

Acknowledgements

  • Hafed Benteftifa
  • Soumaya Chaffar

Features

Give audio and text as input and get back the dominant emotion.

Usage/Examples

[TODO]

API Reference [TODO]

Get all items

  GET /api/items
Parameter Type Description
api_key string Required. API key

Get item

  GET /api/items/${id}
Parameter Type Description
id string Required. Id of item to fetch

Installation

Install emotion with pip

  pip install emotion

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

GDRIVE_CREDENTIALS_DATA

SECRET_KEY

Run Locally

Be sure to have python 3.8 as the python executable

python3 --version

To install Poetry, run:

curl -sSL https://install.python-poetry.org | POETRY_VERSION=1.2.0b1 python3 - --yes

Clone the project

git clone https://github.com/philipgaudreau/emotion

Go to the project directory

cd emotion

Install dependencies (add flag --default if you do not want development dependencies)

poetry install

Activate the virtual environment

poetry shell

Start using the command line interface

emotion --help

Running Tests

To run tests, run the following command (development dependencies must be installed)

pytest tests

Deployment

To deploy this project run

[TODO]

Tech Stack

Client: flask, [TODO]

Server: python, [TODO]

Feedback

If you have any feedback, please reach out to one of us.

Authors

🚀 About Us

We are on our way to finish a degree in Machine Learning.

License

MIT

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