Read more about the project in our blog.
Project Apollo consist of a series of projects that are aimed at using Deep Learning for various applications. This work presents the first project: APOLLO-1. This project is aimed at developing an application that detects toxicity in an online conversation.
- Clone the repo:
git clone https://github.com/kumar-shridhar/Online-Toxicity-Detection.git
- Make sure you have anaconda installed. If not, check here.
- Install all the requirements using conda yaml:
conda env create -f environment_{os}.yml
where{os}
can beWindows
orLinux
. - Download saved model from here
- Unzip the model and save in
Online-Toxicity-Detection/apollo/inference
folder. - Run command:
cd Online-Toxicity-Detection
python apollo/Frontend/app.py
- Go to the link in the console and provide the YouTube URL, and adjust the
sensitivity
andnumber of comments
. The results will be displayed in a chart form. - You can export the
.csv
file of the final results by clicking onexport results
.
Feel free to contact the authors in case of any issues.
Naveed Akram, Ritu Yadav, Venkatesh Iyer Sadique Adnan Siddiqui, Ashutosh Mishra, Kumar Shridhar