---
title: 🕵️ Jerry - Deepfake Detection Tool
emoji: 🔍
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
---

# 🕵️ Jerry - Deepfake Detection Tool

A powerful web application that helps you detect whether facial images are real or AI-generated using advanced deep learning technology.

![Jerry Deepfake Detector](https://via.placeholder.com/800x400/1f77b4/ffffff?text=Jerry+-+Deepfake+Detection+Tool)

## 🔍 Features

- **Fast Analysis**: Quick detection with real-time results
- **User-Friendly Interface**: Simple file upload system with intuitive design
- **Confidence Scoring**: Detailed probability scores for both classifications with visual progress bars
- **Clear Verdict**: Color-coded results (green for real, red for deepfake) with confidence percentages
- **Automatic Model Loading**: Optimized performance with cached models using Streamlit's cache_resource
- **Responsive Design**: Works seamlessly on different screen sizes
- **Modern UI**: Clean, professional interface with custom styling

## 🚀 How to Use

1. **Upload Image**: Click "Browse files" to upload a facial image (JPG, PNG, JPEG, BMP)
2. **Analyze**: Click the "🔍 Analyze Image" button
3. **View Results**: See confidence scores and final verdict in the results panel

## 📊 Understanding Results

- **✅ REAL IMAGE**: The image is likely authentic (displayed in green)
- **🚨 DEEPFAKE DETECTED**: The image appears to be AI-generated (displayed in red)
- **Confidence Scores**: Percentage indicating how confident the model is in each classification
- **Visual Progress Bars**: Easy-to-understand graphical representation of confidence levels

## 🛠️ Installation

To run locally:

```bash
# Clone the repository
git clone <repository-url>
cd jerry-deepfake-detector

# Install dependencies
pip install streamlit transformers torch pillow

# Run the application
streamlit run app.py