README.md

---
title: Hatespeech
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: mit
---

# Swahili Hate Speech Classifier

This Space is a demo of a fine-tuned BERT model for classifying Swahili text into three categories

- **Non-hate speech**
- **Political hate speech**
- **Offensive language**

### 🧠 Model
The model was trained using a labeled Swahili dataset for hate speech detection. It is based on a BERT architecture and fine-tuned specifically for this 3-class classification task.

Model repo: [`sandbox338/hatespeech`](https://huggingface.co/sandbox338/hatespeech)

### 💬 How to Use
1. Enter a Swahili sentence or paragraph into the textbox.
2. Click **Submit**.
3. The model will return one of the three class labels.

### 🔍 Example Inputs
- `Hii ni ujumbe wa kawaida bila matusi.` → *Non-hate speech*
- `Wanasiasa hawa ni wabaya na lazima waondoke!` → *Political hate speech*
- `Unasema upuuzi na wewe ni mjinga kabisa!` → *Offensive language*



### 👩 Usability Testing
This tool is part of an ongoing usability evaluation. Please try it out and share feedback on:
- Clarity of results
- Ease of use
- Suggestions for improvement

---