a

app.py

@@ -10,7 +10,7 @@ model_bark = BarkModel.from_pretrained("suno/bark")
 processor_bark = AutoProcessor.from_pretrained("suno/bark")
 ###### FACEBOOK
 #from mms import generate_audio_mms
-from tts import synthesize, TTS_EXAMPLES, TTS_LANGUAGES
+from tts import synthesize, TTS_LANGUAGES
 import torch
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
@@ -28,6 +28,7 @@ def generate_audio_bark(input):
 
 import gradio as gr
 with gr.Blocks() as demo:
+
   with gr.Tab("MMS"):
     with gr.Row():
       with gr.Column():