update app.py

app.py

@@ -4,17 +4,24 @@ import gradio as gr
 
 model = OratorTTS.from_pretrained("cuda")
 
-
-def generate(text, audio_prompt_path, emotion_adv):
-    wav = model.generate(text, audio_prompt_path=audio_prompt_path, emotion_adv=emotion_adv)
+def generate(text, audio_prompt_path, exaggeration, pace, temperature):
+    wav = model.generate(
+        text, audio_prompt_path=audio_prompt_path,
+        exaggeration=exaggeration,
+        pace=pace,
+        temperature=temperature,
+    )
     return 24000, wav.squeeze(0).numpy()
 
+
 demo = gr.Interface(
     generate,
     [
-        gr.Textbox(value="What does the fox say?", label="Text to synthesize"),
-        gr.Audio(sources="upload", type="filepath", label="Input Audio File"),
-        gr.Slider(0, 1, step=.05, label="emotion_adv", value=.5),
+        gr.Textbox(value="", label="Text to synthesize"),
+        gr.Audio(sources="upload", type="filepath", label="Reference Audio File", value=None),
+        gr.Slider(-5, 5, step=.05, label="exaggeration", value=.5),
+        gr.Slider(0.8, 1.2, step=.01, label="pace", value=1),
+        gr.Slider(0.05, 5, step=.05, label="temperature", value=.8),
     ],
     "audio",
 )