Hate speech and Offensive language Detection

Welcome to Streamlit detection app, where you can see if provided text or document is consider as hate speech or offensive or not.

Contributors

Utkrisht Dutta

• LinkedIn
• Email: utkrishtdutta@gmail.com

How to Use

Uploaded Text

• Upload your text or document directly through the interface.

Data

• We have uses the https://www.kaggle.com/datasets/thedevastator/hate-speech-and-offensive-language-detection data to train our model.

Model

• We have uses tensorflow to train our model. It is giving 89% accuracy.

Getting Started

1. Clone the repository:

   git clone [https://github.com/Utkrishtdutta/Hate_speech_or_offencive_language.git](https://github.com/Utkrishtdutta/Hate_speech_or_offencive_language.git)
   cd summarizer-app

2. Install the required dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run app.py

Visit http://localhost:8501 in your web browser to start summarizing!

Customization

Feel free to customize the app to suit your needs. Explore the codebase and adjust settings as required.

Dependencies

Ensure you have the necessary dependencies by installing them using:

pip install -r requirements.txt