Update app.py

app.py

@@ -231,14 +231,14 @@ def gradio_generate(prompt, steps, guidance):
     return output_filename
 
 
-# description_text = """
-# <p><a href="https://huggingface.co/spaces/declare-lab/mustango/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 music using Mustango by providing a text prompt.
-# <br/><br/> Meet Mustango, an exciting addition to the vibrant landscape of Multimodal Large Language Models \
-# designed for controlled music generation. Mustango leverages Latent Diffusion Model (LDM), Flan-T5, and \
-# musical features to do the magic! \
-# <p/>
-# """
+description_text = """
+<p><a href="https://huggingface.co/spaces/declare-lab/mustango/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 music using Mustango by providing a text prompt.
+<br/><br/> Meet Mustango, an exciting addition to the vibrant landscape of Multimodal Large Language Models \
+designed for controlled music generation. Mustango leverages Latent Diffusion Model (LDM), Flan-T5, and \
+musical features to do the magic! \
+<p/>
+"""
 description_text = ""
 # Gradio input and output components
 input_text = gr.Textbox(lines=2, label="Prompt")
@@ -266,4 +266,5 @@ gr_interface = gr.Interface(
 )
 
 # Launch Gradio app
+gr_interface.queue()
 gr_interface.launch()