Update app.py

app.py

@@ -7,14 +7,12 @@ import gradio as gr
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-pipe_dict = {
-    "original_pipe": pipeline("text-to-speech", model="kakao-enterprise/vits-ljs", device=device),
-}
+pipe = pipeline("text-to-speech", model="kakao-enterprise/vits-ljs", device=device)
 
 # Inference
 def generate_audio(text):
 
-    output = pipe_dict["original_pipe"](text)
+    output = pipe(text)
     output =  gr.Audio(value = (output["sampling_rate"], output["audio"].squeeze()), type="numpy", autoplay=False, label="Response Voice Player", show_label=True,
                                visible=True)
     
@@ -43,7 +41,7 @@ with gr.Blocks(css=css) as demo_blocks:
 
             
         with gr.Column():
-            out_audio = gr.Audio(type="numpy", autoplay=False, label="Generated Audio - British Female Speaker", show_label=True, visible=False)
+            out_audio = gr.Audio(type="numpy", autoplay=True, label="Generated Audio - British Female Speaker", show_label=True, visible=True)
 
     btn.click(generate_audio, [inp_text], out_audio)