Update gradio interface

app.py

@@ -14,7 +14,7 @@ import librosa
 from pvq_manipulation.helper.vad import EnergyVAD
 import gradio as gr
 
-device = 'cuda' if torch.cuda.is_available() else 'cpu'
+device = 'cpu'  #'cuda' if torch.cuda.is_available() else 'cpu'
 
 # load tts model
 storage_dir_tts = Path("./models/tts_model/")
@@ -164,12 +164,13 @@ def update_manipulation(manipulation_idx, manipulation_fkt):
 
 dropdown_options = [(label, i) for i, label in enumerate(label_options)]
 demo = gr.Interface(
-    update_manipulation,
+    title="Perceptual Voice Quality (PVQ) Manipulation",
+    fn=update_manipulation,
     inputs=[
-        gr.Dropdown(dropdown_options, value=2, type="index"),
-        gr.Slider(minimum=-2.0, maximum=2.0, value=1.0, step=0.1),
+        gr.Dropdown(label="PVQ Feature", choices=dropdown_options, value=2, type="index"),
+        gr.Slider(label="Manipulation Factor", minimum=-2.0, maximum=2.0, value=1.0, step=0.1),
     ],
-    outputs=[gr.Audio(label="original"), gr.Audio(label="manipulated")],
+    outputs=[gr.Audio(label="original utterance"), gr.Audio(label="manipulated utterance")],
 )
 
 if __name__ == "__main__":