Update app.py

app.py

@@ -25,7 +25,9 @@ tokenizer = AutoTokenizer.from_pretrained(repo_id, token=HF_TOKEN)
 SAMPLE_RATE = 44000 #feature_extractor.sampling_rate
 SEED = 42
 
-default_text = "Estos pendientes que me los he puesto hoy dia, ¿saben que marca es?"
+default_text = "Estos pendientes que me los he puesto hoy dia, saben que marca es?"
+default_description = "A female speaker from Peru delivers her speech in a somewhat quiet and confined space, with a mildly monotone tone, a slightly low pitch, and a slow pace. The recording appears to be of good quality with only a slight background noise."
+
 examples = [
     [
         "Remember - this is only the first iteration of the model! To improve the prosody and naturalness of the speech further, we're scaling up the amount of training data by a factor of five times.",
@@ -151,7 +153,7 @@ with gr.Blocks(css=css) as block:
     with gr.Row():
         with gr.Column():
             input_text = gr.Textbox(label="Input Text", lines=2, value=default_text, elem_id="input_text")
-            description = gr.Textbox(label="Description", lines=2, value="", elem_id="input_description")
+            description = gr.Textbox(label="Description", lines=2, value=default_description, elem_id="input_description")
             run_button = gr.Button("Generate Audio", variant="primary")
         with gr.Column():
             audio_out = gr.Audio(label="Parler-TTS generation", type="numpy", elem_id="audio_out")