Add article.

app.py

@@ -131,10 +131,20 @@ def process_midi(MIDI_File, Text_to_Sonify, Randomness, Amount_of_Music_to_Add):
     FluidSynth(sound_font).midi_to_audio('result.midi', 'result.wav')
     return 'result.wav'
 
-midi_file_desc = """Upload your own MIDI file here.
+midi_file_desc = """Upload your own MIDI file here (try to keep it small without any fun time signatures).
 If you do not have a MIDI file, add some text and we will turn it into music!
 """
 
+article = """# Pop Music Transformer
+We are using a language model to create music by treating a musical standard MIDI a simple text, with tokens for note values, note duration, and separations to denote movement forward in time.
+
+This is all following the great work you can find [at this repo](https://github.com/bearpelican/musicautobot). Moreover check out [their full web app](http://musicautobot.com/). We use the pretrained model they created as well as the utilities for converting between MIDI, audio streams, numpy encodings, and WAV files.
+
+## Sonification
+
+This is the process of turning something not inherently musical into music. Here we do something pretty simple. We take your input text "pretty cool", get a sentiment score (hard coded right now, model TODO), and use a major progression if it's positive and a minor progression if it's negative, and then factor the score into the randomness of the generated music. We also take the text and extract a melody by taking any of the letters from A to G, which in the example is just "E C". With the simple "E C" melody and a major progression a musical idea is generated.
+"""
+
 iface = gr.Interface(
     fn=process_midi, 
     inputs=[
@@ -144,6 +154,7 @@ iface = gr.Interface(
         gr.inputs.Radio([100, 200, 500], type="value", default=100)
         ], 
     outputs="audio",
+    article=article
     # examples=['C major scale.midi']
 )