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Update README.md
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README.md
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@@ -21,7 +21,7 @@ A user-friendly, accessible neuro-music studio for motor rehabilitation and crea
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- **DJ Mode:** After all four layers are added, apply real-time audio effects (Echo, Low Pass, Compressor, Fade In/Out) to remix your composition using new brain commands.
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- **Seamless Playback:** All completed layers play continuously, with smooth transitions and effect toggling.
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- **Manual Classifier:** Test the classifier on individual movements and visualize EEG data, class probabilities, and confusion matrix.
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- **Accessible UI:** Built with Gradio for easy use in browser or on Hugging Face Spaces.
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## How It Works
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@@ -35,7 +35,7 @@ A user-friendly, accessible neuro-music studio for motor rehabilitation and crea
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- Effects are sticky and only toggle every 4th repetition for smoothness.
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3. **Manual Classifier:**
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- Switch to the Manual Classifier tab to test the model on random epochs for each movement.
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- Visualize predictions, probabilities, and confusion matrix.
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## Project Structure
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pip install -r requirements.txt
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```
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2. **Add required data:**
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- Ensure the `SoundHelix-Song-
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- Include at least one demo EEG `.mat` file (as referenced in your `DEMO_DATA_PATHS` in `config.py`) for the app to run out-of-the-box. Place it in the correct location and ensure it is tracked by git.
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3. **Run the app:**
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```bash
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- Ready for Hugging Face Spaces or any Gradio-compatible cloud platform.
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- Minimal `.gitignore` and clean repo for easy deployment.
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- Make sure to include all required audio stems and at least two demo `.mat` EEG
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## Credits
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- **DJ Mode:** After all four layers are added, apply real-time audio effects (Echo, Low Pass, Compressor, Fade In/Out) to remix your composition using new brain commands.
|
| 22 |
- **Seamless Playback:** All completed layers play continuously, with smooth transitions and effect toggling.
|
| 23 |
- **Manual Classifier:** Test the classifier on individual movements and visualize EEG data, class probabilities, and confusion matrix.
|
| 24 |
+
- **Accessible UI:** Built with Gradio for easy use in a browser or on Hugging Face Spaces.
|
| 25 |
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| 26 |
## How It Works
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|
|
|
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| 35 |
- Effects are sticky and only toggle every 4th repetition for smoothness.
|
| 36 |
3. **Manual Classifier:**
|
| 37 |
- Switch to the Manual Classifier tab to test the model on random epochs for each movement.
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| 38 |
+
- Visualize predictions, probabilities, and the confusion matrix.
|
| 39 |
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## Project Structure
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|
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pip install -r requirements.txt
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```
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2. **Add required data:**
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+
- Ensure the `SoundHelix-Song-6/` folder with all audio stems (`bass.wav`, `drums.wav`, `instruments.wav` or `other.wav`, `vocals.wav`) is present and tracked in your repository.
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- Include at least one demo EEG `.mat` file (as referenced in your `DEMO_DATA_PATHS` in `config.py`) for the app to run out-of-the-box. Place it in the correct location and ensure it is tracked by git.
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3. **Run the app:**
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```bash
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- Ready for Hugging Face Spaces or any Gradio-compatible cloud platform.
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- Minimal `.gitignore` and clean repo for easy deployment.
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| 73 |
+
- Make sure to include all required audio stems and at least two demo `.mat` EEG files in your deployment for full functionality.
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## Credits
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