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**Manual**: Compose using simple notation (`C4:1` etc).\n    - **Markov Chain**: Stochastic generation learned from training data.\n    - **Agentic AI**: Text-to-music translation using LLMs (OpenRouter/OpenAI).\n- **Web UI**: Modern Streamlit interface with a premium dark theme.\n- **Visualizer**: High-quality waveform plotting and image saving.\n- **User Management**:\n    - Secure Login/Register (bcrypt hashing, SQLite).\n    - Personal generation history and file management.\n- **Robustness**:\n    - Background scheduler handles file cleanup (files kept for **24 hours**).\n    - Modular architecture for scalability.\n\n## 📦 Installation\n\n### Prerequisites\n- Python 3.10+\n- [Optional] Docker\n\n### Setup\n1.  **Clone \u0026 Install**:\n    ```bash\n    git clone https://github.com/Amanbig/AI-composer.git\n    cd AI-composer\n    # Create env\n    python -m venv venv\n    venv\\Scripts\\activate # Windows\n    # Install\n    pip install -r requirements.txt\n    ```\n\n2.  **Environment Config**:\n    Create `.env` in root:\n    ```env\n    OPENROUTER_API_KEY=sk-or-v1-...\n    ```\n\n3.  **Run**:\n    ```bash\n    streamlit run music_gen/app.py\n    ```\n\n## 🐳 Running with Docker\n\n```bash\ndocker build -t ai-composer .\ndocker run -p 8501:8501 --env-file .env ai-composer\n```\nAccess at `http://localhost:8501`\n\n## 📂 Structure\n- `music_gen/`: Main package\n  - 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