Update app.py

app.py

@@ -39,6 +39,29 @@ They use a simple two-stage process: MIDI to spectrograms with an encoder-decode
 
 examples = ["examples/beethoven_mond_2.mid", "examples/beethoven_hammerklavier_2.mid"]
 
+gr.HTML("""
+<p>For faster inference without waiting in the queue, you should duplicate this space and upgrade to GPU via the settings.
+<br/>
+<a href="https://huggingface.co/spaces/reach-vb/music-spectrogram-diffusion?duplicate=true">
+<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
+</p>""")
+
+article = """
+<div style='margin:20px auto;'>
+<p>References: <a href="https://arxiv.org/abs/2206.05408">Music Spectrogram Diffusion paper</a> |
+<a href="https://github.com/magenta/music-spectrogram-diffusion">original GitHub</a> |
+<a href="https://github.com/magenta/music-spectrogram-diffusion#pretrained-models">original weights</a></p>
+<pre>
+@article{hawthorne2022multi,
+  title={Multi-instrument music synthesis with spectrogram diffusion},
+  author={Hawthorne, Curtis and Simon, Ian and Roberts, Adam and Zeghidour, Neil and Gardner, Josh and Manilow, Ethan and Engel, Jesse},
+  journal={arXiv preprint arXiv:2206.05408},
+  year={2022}
+}
+</pre>
+</div>
+"""
+
 gr.Interface(
     fn=predict,
     inputs=[
@@ -51,4 +74,5 @@ gr.Interface(
     description=description,
     theme="gradio/monochrome",
     examples=examples,
+    article=article,
 ).launch(debug=True)