Update README.md

README.md

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-# 🎼 Aurora Melody Model
-
-**AI-powered melody generation with VST plugin integration**
-
-![Aurora Plugin Interface](plugin.png)
-
-## 📁 Files Included
-
-- `melody_model.safetensors` - Pre-trained melody generation model
-- `melody_model_config.json` - Model configuration and hyperparameters
-- `alv_tokenizer-2.0.1-py3-none-any.whl` - MIDI tokenization package
-
-## 📊 Model Specifications
-
-- **Architecture**: Transformer-based melody generation
-- **Vocabulary Size**: 45,093 tokens
-- **Model Dimensions**: 1,280 embedding size, 20 attention heads
-- **Layers**: 24 transformer layers
-- **Max Sequence Length**: 300 tokens
-- **Format**: SafeTensors
-
-## 🔗 Backend Integration
-
-For complete backend implementation and VST plugin integration, see:
-**https://github.com/WebChatAppAi/Aurora-Labs**
-
-The backend repository contains:
-- Model inference engine
-- VST plugin bridge
-- FastAPI server
-- DAW integration
-- Real-time generation capabilities
+---
+license: apache-2.0
+language:
+- en
+tags:
+- music
+- midi
+- melody
+---
+# 🎼 Aurora Melody Model
+
+**AI-powered melody generation with VST plugin integration**
+
+![Aurora Plugin Interface](plugin.png)
+
+## 📁 Files Included
+
+- `melody_model.safetensors` - Pre-trained melody generation model
+- `melody_model_config.json` - Model configuration and hyperparameters
+- `alv_tokenizer-2.0.1-py3-none-any.whl` - MIDI tokenization package
+
+## 📊 Model Specifications
+
+- **Architecture**: Transformer-based melody generation
+- **Vocabulary Size**: 45,093 tokens
+- **Model Dimensions**: 1,280 embedding size, 20 attention heads
+- **Layers**: 24 transformer layers
+- **Max Sequence Length**: 300 tokens
+- **Format**: SafeTensors
+
+## 🔗 Backend Integration
+
+For complete backend implementation and VST plugin integration, see:
+**https://github.com/WebChatAppAi/Aurora-Labs**
+
+The backend repository contains:
+- Model inference engine
+- VST plugin bridge
+- FastAPI server
+- DAW integration
+- Real-time generation capabilities