Update app.py

app.py

@@ -13,7 +13,7 @@ client = Client('hexgrad/misaki-src', hf_token=os.environ['TOKEN'])
 def predict(text, use_spacy_transformer, british):
     phonemes, trace, elapsed_cpu_time = client.predict(text=text, trf=use_spacy_transformer, british=british, api_name='/predict')
     trace = pprint.pformat(json.loads(trace))
-    return phonemes, trace, elapsed_cpu_time, len(phonemes)
+    return phonemes, len(phonemes), trace, elapsed_cpu_time
 
 with gr.Blocks() as app:
     gr.Markdown('''
@@ -22,7 +22,7 @@ Misaki is an experimental G2P engine designed to power future versions of Kokoro
 This English-only preview is primarily intended for researchers and linguists. It may be deeply uninteresting to most people.
 ''', container=True)
     gr.Interface(fn=predict, inputs=[gr.Text(), gr.Checkbox(), gr.Checkbox()],
-                 outputs=[gr.Text(label='phonemes'), gr.Text(label='trace'), gr.Number(label='elapsed_cpu_time'), gr.Number(label='token_count (aim for <= 510)')])
+                 outputs=[gr.Text(label='phonemes'), gr.Number(label='token_count (aim for <= 510)'), gr.Text(label='trace'), gr.Number(label='elapsed_cpu_time')])
     gr.Markdown('''
 ### Examples
 ```md