Add share button

app.py

@@ -79,14 +79,21 @@ def gradio_generate(prompt, steps, guidance):
     
     return output_filename
 
-description_text = "Generate audio using TANGO by providing a text prompt. \
-\n\nLimitations: TANGO is trained on the small AudioCaps dataset so it may not generate good audio \
+description_text = """
+<p><a href="https://huggingface.co/spaces/declare-lab/tango/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 audio using TANGO by providing a text prompt.
+<br/><br/>Limitations: TANGO is trained on the small AudioCaps dataset so it may not generate good audio \
 samples related to concepts that it has not seen in training (e.g. singing). For the same reason, TANGO \
 is not always able to finely control its generations over textual control prompts. For example, \
 the generations from TANGO for prompts Chopping tomatoes on a wooden table and Chopping potatoes \
 on a metal table are very similar. \
-\n\nWe are currently training another version of TANGO on larger datasets to enhance its generalization, \
-compositional and controllable generation ability."
+<br/><br/>We are currently training another version of TANGO on larger datasets to enhance its generalization, \
+compositional and controllable generation ability.
+
+We recommend using a guidance scale of 3. The default number of steps is set to 100. More steps generally lead \ 
+to better quality of generated audios but will take a longer time.
+<p/>
+"""
 
 # Gradio input and output components
 input_text = gr.inputs.Textbox(lines=2, label="Prompt")