Update app.py

app.py

@@ -263,7 +263,17 @@ def inference(aud, effect_type,gain_dB,c0,c1,mix,width,max_length,stereo,tail):
   return "output.mp3"
   
 title = "Steerable nafx"
-description = "Gradio demo for Steerable discovery of neural audio effects. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
+description = """Gradio demo for Steerable discovery of neural audio effects. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below. 
+Now set the audio effect parameters. Here are some more insights into the controls:
+
+effect_type - Choose from one of the pre-trained models.
+gain_dB - Adjust the input gain. This can have a big effect since the effects are very nonlinear.
+c0 and c1 - These are the effect controls which will adjust perceptual aspects of the effect, depending on the effect type. Very large values will often result in more extreme effects.
+mix - Control the wet/dry mix of the effect.
+width - Increase stereo width of the effect.
+max_length - If you uploaded a very long file this will truncate it.
+stereo - Convert mono input to stereo output.
+tail - If checked, we will also compute the effect tail (nice for reverbs)."""
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.02926' target='_blank'>Steerable discovery of neural audio effects</a> | <a href='https://github.com/csteinmetz1/steerable-nafx' target='_blank'>Github Repo</a></p>"
 
 gr.Interface(