robinson_NLP2_y2d 1.0.3

No project description provided

NLP2

The objective of this project is to develop an automated emotion detection pipeline and cloud application for Banijay Benelux. The application should be able to process video/audio input and classify the emotions of each sentence spoken in the video/audio. The system should be able to handle multiple users and provide secure access to the data and models.

Requirements

• python version 3.9
• nodejs
• npm
• ffmpeg

Static Type Checking

You can run mypy src/ for type checking.

Setup

1. Download / clone the repository

Download the pre-trained model and place it into /src/models/trained_models/ https://drive.google.com/file/d/1RdrM3tzFRCKPSp2rklbKOjZg8IhLCgev/view?usp=sharing

2. Install dependencies

pip install poetry

poetry install

pip install openai-whisper

python -m spacy download en_core_web_lg

Usage

The package is optimized for linux system. You are expected to run the API and front end using pm2.

Menu

python src/main.py --interactive

Front end

Options 1:

./front.sh

Option 2

cd ./src/front/NLP2-frontend/

npm install

npm run dev

API

Option 1:

./api.sh

Option 2:

python ./src/apientry.py

Docker

Linux:

./redeploy.sh

Windows: Use Docker Desktop or similar to build.

Project Structure/

    ├── data/
    │   ├── raw/
    │   ├── processed/
    │   └── external/
    ├── docs/
    ├── models/
    ├── notebooks/
    ├── src/
    │   ├── __init__.py
    │   ├── data/
    │   │   ├── __init__.py
    │   │   └── s2p.py
    │   ├── evaluation/
    │   │   ├── __init__.py
    │   │   └── metrics.py
    │   │   └── visualizations.py
    │   ├── features/
    │   │   ├── __init__.py
    │   │   └── feature_extraction.py
    │   ├── models/
    │   │   ├── __init__.py
    │   │   └── data_setup.py
    │   │   └── model_loading.py
    │   │   └── predict_model.py
    │   │   └── train_model.py
    │   └── utils/
    │       ├── __init__.py
    │       └── helpers.py
    │       └── common.py
    ├── tests/
    ├── .gitignore
    ├── LICENSE
    ├── README.md
    └── pyproject.toml

Dependencies

python = ">=3.9,<3.10"
pandas = "^2.2.2"
spacy = "^3.7.4"
tensorflow = "2.10.0"
tensorflow-io-gcs-filesystem = "0.31.0"
scikit-learn = "^1.4.2"
nltk = "^3.8.1"
seaborn = "^0.13.2"
matplotlib = "^3.8.4"
transformers = "4.37.2"
more-itertools = "^10.2.0"
toolz = "^0.12.1"
textblob = "^0.18.0.post0"
azureml-core = "^1.56.0"
azureml-defaults = "^1.56.0.post1"
azureml-sdk = "^1.56.0"
inquirer = "^3.2.4"
tiktoken = "0.7.0"
numba = "0.59.1"
llvmlite = "0.42.0"
networkx = "3.2.1"
sympy = "1.12.1"
accelerate = "^0.31.0"
keras = "2.10.0"
protobuf = ">=3.9.2,<3.20"
tensorboard = ">=2.10,<2.16"
tensorflow-estimator = "2.10.0"
mlflow = "^2.14.1"
azureml = "^0.2.7"
fastapi = "^0.111.0"
deep_translator = "^1.11.4"
uvicorn = "^0.30.1"
pandas-stubs = "^2.2.2.240807"
pre-commit = "^3.8.0"
pytest = "^8.3.2"
pytest-cov = "^5.0.0"
mypy = "^1.11.1"
sphinx = "^7"
flake8 = "^7.1.1"
httpx = "^0.27.0"