Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
-title: DeepfakeDet-ViT XAI & Forensics Suite
-emoji: 🔬
+title: XAI - DeepfakeDetection & Forensics Suite
+emoji: 👁
 colorFrom: red
 colorTo: red
 sdk: gradio
@@ -8,11 +8,12 @@ sdk_version: 6.22.0
 python_version: '3.12'
 app_file: app.py
 pinned: false
-license: apache-2.0
+license: mit
 models:
-  - buildborderless/CommunityForensics-DeepfakeDet-ViT
+- buildborderless/CommunityForensics-DeepfakeDet-ViT
 datasets:
-  - buildborderless/deepfake-explainability
+- buildborderless/deepfake-explainability
+short_description: Most comprehensive suite of tests for research and datasets.
 ---
 
 # DeepfakeDet-ViT XAI & Digital Forensics Suite
@@ -23,4 +24,4 @@ Interactive explainability dashboard and digital forensics suite for the **ViT-S
 - **7 ViT Attribution Methods**: Attention Rollout, Chefer Gradient-Rollout, GradCAM, Integrated Gradients, DeepLIFT, Occlusion Sensitivity, Per-Head Attention.
 - **5 Classic Digital Forensics Tools**: Error Level Analysis (ELA), Spatial Edge Gradient, Bit Plane Extractor, MinMax Deviation, Wavelet Noise Estimation.
 - **Forensic Report Generator**: Export multi-panel high-DPI infographic report PNGs.
-- **Dataset Integration**: Log predictions, user ground truth feedback (Real / Fake / FP / FN), and 7-method composite XAI heatmaps to `buildborderless/deepfake-explainability`.
+- **Dataset Integration**: Log predictions, user ground truth feedback (Real / Fake / FP / FN), and 7-method composite XAI heatmaps to `buildborderless/deepfake-explainability`.