kumar-shridhar / Online-Toxicity-Detection

APOLLO-1: Online Toxicity Detection

Read more about the project in our blog.

Online Toxicity Detection

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.

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How to run

1. Clone the repo: git clone https://github.com/kumar-shridhar/Online-Toxicity-Detection.git
2. Make sure you have anaconda installed. If not, check here.
3. Install all the requirements using conda yaml: conda env create -f environment_{os}.yml where {os} can be Windows or Linux.
4. Download saved model from here
5. Unzip the model and save in Online-Toxicity-Detection/apollo/inference folder.
6. Run command:
   • cd Online-Toxicity-Detection
   • python apollo/Frontend/app.py
7. Go to the link in the console and provide the YouTube URL, and adjust the sensitivity and number of comments. The results will be displayed in a chart form.
8. You can export the .csv file of the final results by clicking on export results.

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References

• Egbertbouman
• HuggingFace
• Xhlulu

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Contact

Feel free to contact the authors in case of any issues.

Naveed Akram, Ritu Yadav, Venkatesh Iyer Sadique Adnan Siddiqui, Ashutosh Mishra, Kumar Shridhar