Create README.md

README.md

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+---
+title: Real vs Fake - AI Image Detector
+emoji: 🔍
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: mit
+---
+
+# 🔍 Real vs Fake: AI Image Detector
+
+Detect whether an image is real or AI-generated using perceptual features.
+
+## How It Works
+
+This detector uses **ARNIQA** (Attention-based distortion-aware No-Reference Image Quality Assessment)
+to extract perceptual features from images. These features are then used by a trained classifier
+to distinguish between real photographs and AI-generated images.
+
+## Supported AI Models
+
+The detector can identify images generated by:
+- Stable Diffusion (various versions)
+- Midjourney
+- DALL-E
+- And other popular generative models
+
+## Usage
+
+1. Upload an image (JPG, PNG)
+2. The model will analyze perceptual features
+3. Get instant results showing whether the image is real or AI-generated
+
+## Model Details
+
+- **Feature Extractor**: ARNIQA (from miccunifi/ARNIQA)
+- **Classifier**: 2-layer MLP trained on GenImage dataset
+- **Input Size**: Variable (automatically resized)
+- **Inference**: CPU-based for universal accessibility
+
+## Privacy
+
+All processing happens in your browser session. Uploaded images are not stored.
+
+## Research
+
+Based on research using perceptual classifiers for detecting generative images.
+The full research codebase is private.
+
+## License
+
+MIT License - Free for personal and commercial use.