Update README.md

README.md

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 # freq-split-enhance
 
-An advanced **audio processing pipeline** designed to separate and enhance audio components using cutting-edge open-source tools. With **freq-split-enhance**, you can isolate vocals, instruments, background noise, and more from raw audio files with precision.
+An evolving **audio processing pipeline** designed to separate and enhance audio components using open-source tools. The project aims to provide a modular framework for working with raw audio files, enabling separation, refinement, and post-processing.
 
 ---
 
-## 🚀 Key Features
+🚀 Current Features
 
-- **Source Separation**: Leverages tools like Demucs, Spleeter, and nussl for powerful audio separation.
+- **Audio Input Handling**: Uses librosa for reading and handling audio files.
-- **Noise Reduction**: Advanced filtering with noise reduction libraries like `noisereduce`.
+- **Preprocessing**: Includes resampling, normalization, and trimming using librosa.
-- **Spectrogram Analysis**: Generate and refine audio using spectrogram-based techniques.
+- **Audio Classification**: Utilizes Google's YAMNet model to classify audio content.
-- **Fully Modular Pipeline**: Flexible structure to integrate and customize various audio processing tools.
+- **Source Separation**: Implements Demucs for music source separation.
-- **Python-First**: Written in Python with easy-to-read modular code.
+- **Noise Reduction**: Enhances audio by removing background noise using DeepFilterNet.
+- **Post-Processing**: Uses librosa to save processed audio files.
+- **Modular Architecture**: Designed for easy extension and customization.
 
 ---
+📁 Project Structure
+
+```bash
+freq-split-enhance/
+├── api/                # API implementation (future work)
+├── client/             # Client-side interactions (future work)
+├── src/                # Core processing modules
+│   ├── input/          # Audio input handling
+│   ├── preprocessing/  # Normalization, resampling, trimming
+│   ├── separation/     # Source separation with Demucs
+│   ├── postprocessing/ # Post-processing and saving results
+│   ├── refinement/     # Noise reduction and enhancement
+│   ├── spectogram/     # Spectrogram generation and analysis
+├── tests/              # Unit tests
+├── requirements.txt    # Dependencies
+├── README.md           # Project documentation
+├── LICENSE             # License information
+└── pytest.ini          # Pytest configuration
+```
 
-## 📖 Documentation
 ### 📝 Wiki
 
 For detailed instructions on installing dependencies, setting up Python environments, and configuring the project, visit the [Wiki](https://github.com/joelmathewthomas/freq-split-enhance/wiki).