Create README.md

README.md

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-title: Deepfake Explainer App
-emoji: 🦀
-colorFrom: green
-colorTo: yellow
-sdk: streamlit
-sdk_version: 1.44.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Deepfake Image Analyzer
+
+This Streamlit app uses a fine-tuned Llama 3.2 Vision model to analyze images for signs of deepfake manipulation.
+
+## Features
+
+- Upload any image to analyze for deepfake indicators
+- Get both technical and non-technical explanations
+- Customize the analysis with your own instructions
+- Adjust generation parameters like temperature and response length
+
+## Model Details
+
+This app uses the [saakshigupta/deepfake-explainer-1](https://huggingface.co/saakshigupta/deepfake-explainer-1) model, which is a fine-tuned version of Llama 3.2 Vision.
+
+## Usage Tips
+
+1. Upload a clear image of a face
+2. The model works best with front-facing portraits
+3. For more detailed analysis, increase the maximum response length
+4. You can customize the instruction in the sidebar
+
+## Technical Notes
+
+The model implements a special cross-attention mask fix to handle vision features properly.