small update

app.py

@@ -34,7 +34,7 @@ def inference(reference_audio, text, reference_text, ras_K, ras_t_r, top_p, qual
         dlc = 'per-chunk'
 
     data = {
-        "text": text, #"la volpe marrone salta velocemente sopra il cane pigro.",
+        "text": text,
         "reference_audio": encoded_str, # reference audio, b64 encoded. Should be <=15s.
         "reference_text": reference_text if reference_text is not None and len(reference_text) > 0 else None,
         "language": 'en-us',
@@ -80,7 +80,7 @@ with gr.Blocks() as demo:
             quality_prefix = gr.Textbox('48000', label="quality_prefix", info="quality prefix string to append to generation", lines=1)
         with gr.Row():
             gr.Markdown("Cloning method to use. Deep clone and shallow clone use the method described in the paper, " +
-                        "while follow-on deep clone uses deep cloning, but always using the previous generated segment as the deep clone conditioning. " +
+                        "while `follow-on deep clone` uses deep cloning, but always using the previous generated segment as the deep clone conditioning. " +
                         "This only makes a difference for long text inputs where the text is internally chunked up and generated in chunks.")
             clone_method = gr.Radio(choices=['deep-clone', 'shallow-clone', 'follow-on deep-clone'], value='follow-on deep-clone', label="cloning method", info="cloning method to use")