update README

Author: faradox

README.md

@@ -15,10 +15,13 @@ Polymath makes it effortless to combine elements from different tracks to create
 
 ## How does it work?
 
-- Music Source Separation is performed with the [Nendo Demucs Stemification Plugin](https://github.com/okio-ai/nendo_plugin_stemify_demucs)
-- Music information retrieval is performed with the [Nendo Core Classification Plugin](https://github.com/okio-ai/nendo_plugin_classify_core)
-- Music Quantization is performed with the [Nendo Core Quantization Plugin](https://github.com/okio-ai/nendo_plugin_quantize_core)
--  Loopification is performed with [Nendo Loopify Plugin](https://github.com/okio-ai/nendo_plugin_loopify)
+- Import tracks from youtube or directly from your google drive
+- Process selected (or all) tracks with a configurable selection of nendo plugins:
+    - Apply the [classification plugin](https://github.com/okio-ai/nendo-plugin-classify-core) to compute _volume_, _tempo_ (bpm), _key_, _intensity_, _frequency_, and _loudness_ for each track
+    - Apply the [stemification plugin](https://github.com/okio-ai/nendo-plugin-stemify-demucs) to separate each track into four source signals: _vocals_, _drum_, _bass_, and _other_
+    - Apply the [quantization plugin](https://github.com/okio-ai/nendo-plugin-quantize-core) to quantize each track to a specified target _bpm_
+    - Apply the [loopification plugin](https://github.com/okio-ai/nendo-plugin-loopify) to automatically detect and extract loops from each sample
+- Export the results of the processing with informative file names to your google drive in _wav_, _mp3_ or _ogg_ format.
 
 ## Community
 
@@ -43,6 +46,7 @@ Furthermore, the following software packages need to be installed in your system
 You need python version `>=3.8` and `<=3.10`. From your terminal run:
 
 ```bash
+pip install git+https://github.com/CPJKU/madmom.git@0551aa8
 git clone https://github.com/samim23/polymath
 cd polymath
 pip install -r requirements.txt
@@ -51,14 +55,6 @@ pip uninstall -y essentia essentia-tensorflow && pip install essentia-tensorflow
 
 The last line is a fix that's needed to avoid a dependency conflict among the plugins.
 
-## Troubleshooting
-
-If you run into an issue with the `madmom` module missing (most likely because you've installed polymath by means of a `requirements.txt` file pointing to this github repo as part of another python app), install it manually:
-
-```bash
-pip install git+https://github.com/CPJKU/madmom.git@0551aa8
-```
-
 ## GPU support
 
 Most of the libraries polymath uses come with native GPU support through cuda. Please follow the steps on https://www.tensorflow.org/install/pip to setup tensorflow for use with cuda. If you have followed these steps, tensorflow and torch will both automatically pick up the GPU and use it. This only applied to native setups, for dockerized deployments (see next section), gpu support is forthcoming