README.md

metadata

title: Hate Speech Detection API
emoji: 🛑
colorFrom: red
colorTo: purple
sdk: docker
app_file: app.py
pinned: false

🛑 Hate Speech Detection Web Application

A FastAPI-based web application that detects hate speech in text using a locally stored machine learning model (hate_speech_model.pkl).
The application provides both a browser-based interface and a REST API.

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🚀 Features

• Hate speech detection using a pre-trained local ML model
• Simple and responsive web UI
• REST API endpoint for integration
• Runs on Hugging Face Spaces, Docker, or locally
• Lightweight and fast inference

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🧠 Model Information

• Model file: hate_speech_model.pkl
• Type: Scikit-learn classifier / Pipeline
• Task: Hate Speech Classification
• Loaded locally using: joblib

⚠️ The model file must be present in the root directory of the project.

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🖥️ Tech Stack

• Backend: FastAPI
• Frontend: HTML, CSS, JavaScript
• ML Framework: Scikit-learn
• Model Loader: Joblib
• Server: Uvicorn
• Language: Python 3.9+

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📂 Project Structure