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-# SISU
+## SISU
 
-SISU (Super Ingenious Sound Upscaler) is an experimental audio upscaler neural network 
\ No newline at end of file
+### Overview
+
+SISU (Super Ingenious Sound Upscaler) is a project that uses GANs (Generative Adversarial Networks) to make low-quality audio better. The goal is to take not-so-good-sounding audio and turn it into high-quality, clear audio.
+
+### Structure of the Project
+
+- **data**: This folder has some sample audio files for testing.
+- **models**:
+  - `generator.py`: This file has the code for the part that improves the audio.
+  - `discriminator.py`: This file has the code for the part that checks if the audio is good or not.
+- **training**:
+  - `train.py`: This script is used to teach the computer how to improve the audio.
+- **utils**:
+  - Some helper files to make loading and preparing the audio easier.
+
+### Using the Project
+
+1. **Set Up**:
+   - Make sure you have Python installed (version 3.8 or higher).
+   - Install needed packages: `pip install -r requirements.txt`
+
+2. **Prepare Audio Data**:
+   - Put your audio files in the `dataset/good` folder.
+
+3. **Train the Model**:
+   - Run the training script: `python training.py`
+
+4. **Generate Better Audio**:
+   - After training, you can use the generator to make your audio sound better.
+
+### License
+
+This project is open-source and licensed under the GPLv3 License. For details, see the LICENSE file.