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a62-emotion-0.9.4
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مشاهده بیشتر
تبلیغات ما
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مشاهده بیشترتوضیحات
A model for emotion classification based on text and audio.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | a62-emotion-0.9.4 |
| نام | a62-emotion |
| نسخه کتابخانه | 0.9.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Philip Gaudreau |
| ایمیل نویسنده | this@philipgaudreau.email |
| آدرس صفحه اصلی | https://github.com/philipgaudreau/emotion |
| آدرس اینترنتی | https://pypi.org/project/a62-emotion/ |
| مجوز | - |
# Emotion
A model for emotion classification based on text and audio.
[](https://github.com/philipGaudreau/emotion/actions/workflows/merge.yml)
[](https://github.com/tterb/atomic-design-ui/blob/master/LICENSEs)
## Acknowledgements
- Hafed Benteftifa
- Soumaya Chaffar
## Features
Give audio and text as input and get back the dominant emotion.
## Usage/Examples
Be sure to add double quotes to lines containing one or more commas for `.csv` files.
For graphical interface, use https://a62-emotion.herokuapp.com/index and upload `.wav` and `.csv` files.
```python
In [1]: import requests
In [2]: with open("./data/raw_sample/audio/UlTJmndbGHM.wav", "rb") as fd:
...: response = requests.post("https://a62-emotion.herokuapp.com/predict", files={'files[]': fd})
...:
In [3]: response.json()
Out[3]: {'predictions_audio': {'UlTJmndbGHM.wav': 'positive'}, 'predictions_texte': {}}
```
```bash
curl -F 'files[]=@/home/user/emotion/data/raw_sample/audio/DatH-ra0VKY.wav' -F 'files[]=@/home/user/file.csv' https://a62-emotion.herokuapp.com/predict
{"predictions_audio":{"DatH-ra0VKY.wav":"positive"},"predictions_texte":{"file.csv":{"DAMON WILLIAMS: I am the Senior Vice President and Chief Education and Youth Development Officer for the Boys and Girls Clubs of America.":"neutral","In that role, I help to shape the education policy and youth development direction for more than 4,000 clubs that are part of our federated network, having an impact on more than 4 million young people across this nation.":"positive"}}}
```
## API Reference
#### Get a prediction for file(s)
```http
POST /predict
```
| Parameter | Type | Description |
| :-------- | :------- | :------------------------------- |
| `files[]` | `File` | **Required**. File(s) to process |
## Installation
Install emotion with pip
```bash
pip install a62-emotion
```
## Environment Variables
To run this project, you will need to add the following environment variables to your .env file
`GDRIVE_CREDENTIALS_DATA`
`FLASK_SECRET_KEY`
## System Dependencies
For audio, you will need to install `libsndfile1` (and `libsndfile1-dev` on some systems)
```bash
sudo apt-get install libsndfile1
```
## Run Locally
Be sure to have python 3.8.13 as the python executable
```bash
python3 --version
```
To install Poetry, run:
```bash
curl -sSL https://install.python-poetry.org | POETRY_VERSION=1.1.14 python3 - --yes
```
(Optional) To install the Heroku CLI, follow these steps
https://devcenter.heroku.com/articles/heroku-cli#standalone-installation-with-a-tarball
Clone the project
```bash
git clone https://github.com/philipgaudreau/emotion
```
Go to the project directory
```bash
cd emotion
```
Install dependencies (add flag `--without-dev` if you do not want development dependencies)
```bash
poetry install
```
Activate the virtual environment
```bash
poetry shell
```
Pull cloud data if needed (You will need to export `GDRIVE_CREDENTIALS_DATA`)
```bash
dvc pull [<.dvc file>]
```
Start using the command line interface (Not implemented yet)
```bash
emotion --help
```
## Running Tests
To run tests, run the following command (development dependencies must be installed)
```bash
pytest tests
```
## Deployment
This project is automatically deployed on Heroku when a PR is merged. To test locally, run (You will need to export `FLASK_SECRET_KEY`)
```bash
heroku local
```
## Tech Stack
**CI:** GitHub Actions, DVC
**CD:** GitHub Actions, Heroku
**Frameworks:** Scikit-learn, Tensorflow, Flask
**Versionning:** Poetry, SemVer
**Cloud:** G-Drive, GitHub, Heroku
## Feedback
If you have any feedback, please reach out to one of us.
## Authors
- [@philipgaudreau](https://github.com/philipgaudreau)
- [@guraymo](https://github.com/guraymo)
- [@gtrottier](https://github.com/gtrottier)
## 🚀 About Us
We are on our way to finish a degree in Machine Learning.
## License
[MIT](https://choosealicense.com/licenses/mit/)
نیازمندی
| مقدار | نام |
|---|---|
| >=2.8.0,<3.0.0 | keras |
| ==1.20.3 | numpy |
| ==0.24.2 | scikit-learn |
| ==1.2.4 | pandas |
| >=0.9.1,<0.10.0 | librosa |
| <2.11 | dvc[gdrive] |
| >=0.12.0,<0.13.0 | tensorflow-hub |
| >=2.1.2,<3.0.0 | Flask |
| >=20.1.0,<21.0.0 | gunicorn |
| >=3.7,<4.0 | nltk |
| >=4.20.1,<5.0.0 | transformers |
| >=2.9.1,<3.0.0 | tensorflow-cpu |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| ==3.8.13 | Python |
نحوه نصب
نصب پکیج whl a62-emotion-0.9.4:
pip install a62-emotion-0.9.4.whl
نصب پکیج tar.gz a62-emotion-0.9.4:
pip install a62-emotion-0.9.4.tar.gz