Update app.py

app.py

@@ -130,7 +130,7 @@ title="Text2midi: Generating Symbolic Music from Captions"
 description_text = """
 <p><a href="https://huggingface.co/spaces/amaai-lab/text2midi/blob/main/app.py?duplicate=true"> <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> For faster inference without waiting in queue, you may duplicate the space and upgrade to a GPU in the settings. <br/><br/>
 Generate midi music using Text2midi by providing a text prompt.
-<br/><br/> This is the demo for Text2midi. This model is the first end-to-end model for generating MIDI files from textual descriptions. By leveraging pretrained large language models and a powerful autoregressive transformer decoder, text2midi allows users to create symbolic music that aligns with detailed textual prompts, including musical attributes like chords, tempo, and style. </br> Read the <a href="https://www.arxiv.org/abs/2412.16526">full paper here.</a> </br> <a href="https://github.com/AMAAI-Lab/text2midi">View code on Github</a>. 
+<br/><br/> This is the demo for Text2midi. This model is the first end-to-end model for generating MIDI files from textual descriptions. By leveraging pretrained large language models and a powerful autoregressive transformer decoder, text2midi allows users to create symbolic music that aligns with detailed textual prompts, including musical attributes like chords, tempo, and style. </br> Read the <a href="https://www.arxiv.org/abs/2412.16526">full paper here.</a> </br> <a href="https://github.com/AMAAI-Lab/text2midi">View code on Github</a>. </br>***If you are getting a GPU error due to to Hugging face resource restrictions, please reduce the token length size to 500, this will generate shorter midi. 
 <p/>
 """
 #description_text = ""