added description

app.py

@@ -39,10 +39,17 @@ def main(wav_path,transcript,lang_code):
         torchaudio.save(fp,cleaned_wav.view(1,-1), sample_rate=22050,format='wav')
         return fp.name
 
+description = """
+# Miipher demo
+This repository provices pretrained weights and demo of Miipher implementation by [Wataru-Nakata](https://github.com/Wataru-Nakata/miipher)
+Miipher was originally proposed by Koizumi et. al. [arxiv](https://arxiv.org/abs/2303.01664)
+Please note that the model differs in many ways from the paper.
+**Non commercial use only** as the weights are provided in CC-BY-NC 2.0.
+"""
 inputs = [gr.Audio(label="noisy audio",type='filepath'),gr.Textbox(label="Transcript", value="Your transcript here", max_lines=1), 
             gr.Radio(label="Language", choices=["eng-us", "jpn"], value="eng-us")]
 outputs = gr.Audio(label="Output")
 
-demo = gr.Interface(fn=main, inputs=inputs, outputs=outputs)
+demo = gr.Interface(fn=main, inputs=inputs, outputs=outputs,description=description)
 
 demo.launch()