README.md

---
title: DeepFake Detection Demo
emoji: 🧠
colorFrom: indigo
colorTo: purple
sdk: streamlit
sdk_version: "1.37.1"
app_file: app.py
pinned: false
---


# 🧠 DeepFake Detection Demo

This application demonstrates a **CPU-based deepfake detection model**
for deep fake rejection including Style GAN and Diffusion model architectures

## 🔍 What This Demo Does
- Accepts an uploaded face image
- Classifies it as **Real** or **Fake**
- Displays confidence and probabilities
- Runs entirely on CPU (TorchScript)

## 🏗 Architecture
- **Model:** Private Hugging Face Model Repository
- **App:** Hugging Face Space (Streamlit)
- **Runtime:** CPU (no GPU required)

## ⚠️ Further Inquiries
Please feel free to contact uzair.mughal@unikrew.com for any queries or information

## 📌 Known Limitations
- Further releases will enhance the model for face editing using AI (such as the swapping of a real face on the body of a real person -- much like a photoshop but using AI)