Skip to main content

A model for emotion classification based on text and audio.

Project description

Emotion

A model for emotion classification based on text and audio.

emotion - merge 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=1.1.14 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

a62-emotion-0.10.4.tar.gz (12.7 kB view details)

Uploaded Source

Built Distribution

a62_emotion-0.10.4-py3-none-any.whl (16.2 kB view details)

Uploaded Python 3

File details

Details for the file a62-emotion-0.10.4.tar.gz.

File metadata

  • Download URL: a62-emotion-0.10.4.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.0b1 CPython/3.8.13 Linux/5.13.0-1031-azure

File hashes

Hashes for a62-emotion-0.10.4.tar.gz
Algorithm Hash digest
SHA256 2e64cc0b3c1eed6b6b55ebcfb5b706838784a3180dd93f0923f377f2d0bd6e7c
MD5 6c100099a6f1775c8649f8d1cfdf74ad
BLAKE2b-256 1225f46278ad0b197546bcfbd11ea90b3a308595587ad74922eb91a02b1d99b3

See more details on using hashes here.

File details

Details for the file a62_emotion-0.10.4-py3-none-any.whl.

File metadata

  • Download URL: a62_emotion-0.10.4-py3-none-any.whl
  • Upload date:
  • Size: 16.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.0b1 CPython/3.8.13 Linux/5.13.0-1031-azure

File hashes

Hashes for a62_emotion-0.10.4-py3-none-any.whl
Algorithm Hash digest
SHA256 94a580b88b5eec17a7a3bf1dd51a8de6b693eca1d5948597e06bd705d4d83d18
MD5 dc51cdec4b1f0254c6f25402396c1890
BLAKE2b-256 de6bdd8220b1397003b5e49c7279b5c9574af57bc9f51e5b3abecdf3adcfd631

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page