Update app.py

app.py

@@ -1,10 +1,42 @@
 # !git clone https://github.com/Edresson/Coqui-TTS -b multilingual-torchaudio-SE TTS
 
+
+
 import os
-import shutil
+import sys
+
+os.system("git clone https://github.com/C0untFloyd/bark-gui.git")
+sys.path.append("./bark-gui/")
+
+from cProfile import label
+from distutils.command.check import check
+from doctest import Example
 import gradio as gr
+import numpy as np
+import logging
+import torch
+import pytorch_seed
+import time
 
-import sys
+from xml.sax import saxutils
+from bark.api import generate_with_settings
+from bark.api import save_as_prompt
+from settings import Settings
+#import nltk
+
+from bark import SAMPLE_RATE
+from bark.clonevoice import clone_voice
+from bark.generation import SAMPLE_RATE, preload_models
+from scipy.io.wavfile import write as write_wav
+from parseinput import split_and_recombine_text, build_ssml, is_ssml, create_clips_from_ssml
+from datetime import datetime
+from tqdm.auto import tqdm
+from id3tagging import add_id3_tag
+
+OUTPUTFOLDER = "Outputs"
+
+import shutil
+import gradio as gr
 
 import string
 import time
@@ -161,41 +193,6 @@ def voice_conversion(ta, ra, da):
 
   return (ap.sample_rate, ref_wav_voc)
 
-
-import os
-import sys
-
-os.system("git clone https://github.com/C0untFloyd/bark-gui.git")
-sys.path.append("./bark-gui/")
-
-from cProfile import label
-from distutils.command.check import check
-from doctest import Example
-import gradio as gr
-import numpy as np
-import logging
-import torch
-import pytorch_seed
-import time
-
-from xml.sax import saxutils
-from bark.api import generate_with_settings
-from bark.api import save_as_prompt
-from settings import Settings
-#import nltk
-
-from bark import SAMPLE_RATE
-from bark.clonevoice import clone_voice
-from bark.generation import SAMPLE_RATE, preload_models
-from scipy.io.wavfile import write as write_wav
-from parseinput import split_and_recombine_text, build_ssml, is_ssml, create_clips_from_ssml
-from datetime import datetime
-from tqdm.auto import tqdm
-from id3tagging import add_id3_tag
-
-OUTPUTFOLDER = "Outputs"
-
-
 def generate_text_to_speech(text, selected_speaker, text_temp, waveform_temp, eos_prob, quick_generation, complete_settings, seed, progress=gr.Progress(track_tqdm=True)):
     if text == None or len(text) < 1:
         raise gr.Error('No text entered!')