AGORA - Automated Generation and Omission Recurrent Architecture

Given a speech input (audio recording), this model replaces harmful speech with generated textual content. (Speech to text model.)

Installation and Setup

Configure environment variables:

set OPENAI_API_KEY_AGORA=<API_KEY>

Setup

git clone https://github.com/TheFloatingString/agora.git
cd agora
pip install -r requirements.txt

In a Python file:

from src.agora import Agora

agora_model = Agora()
response = agora_model.transcribe_audio("filepath_to_speech_audio.wav")
print(response["outputText"])

Quickstart examples

python -m quickstart.run_sample

Analyze AGORA's ability to Recognize Offensive Content in the Jigsaw Dataset

Note: move train.csv into data/jigsaw-data from the Jigsaw dataset on Kaggle (https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/data)

python -m src.run_jigsaw_data
python -m src.analyze_results

Filter and Paraphrase the Speech-to-Text Functionality for Offensive Content

Run the folowing, while making sure to change the filename from 1 to 10 at each new run.

Warning: the audio files contain explicit content.

python -m src.run_audio_files