Update app.py

app.py

@@ -1,4 +1,5 @@
 import os
+from huggingface_hub import snapshot_download
 import gradio as gr
 import spaces
 from infer_rvc_python import BaseLoader
@@ -26,6 +27,40 @@ import sys
 import torch
 import fairseq
 
+# =====================================================================
+# កូដទាញយកម៉ូដែលសំឡេងពី Repository
+# =====================================================================
+print("📥 កំពុងទាញយកម៉ូដែលសំឡេងទាំងអស់ពី Repository... សូមរង់ចាំ!")
+REPO_ID = "Tha456/Khmer-Voice-Models"
+LOCAL_MODELS_DIR = snapshot_download(repo_id=REPO_ID, local_dir="my_models")
+print(f"✅ ទាញយកជោគជ័យ! ឯកសារទាំងអស់ស្ថិតនៅក្នុង Folder: {LOCAL_MODELS_DIR}")
+
+# បង្កើតអថេរផ្លូវ (Path) សម្រាប់កូដខាងក្រោមយកទៅប្រើ
+nita_pth = os.path.join(LOCAL_MODELS_DIR, "nita_female.pth")
+nita_index = os.path.join(LOCAL_MODELS_DIR, "nita_female.index")
+
+nimol_pth = os.path.join(LOCAL_MODELS_DIR, "nimol_famale.pth")
+nimol_index = os.path.join(LOCAL_MODELS_DIR, "nimol_famale.index")
+
+saman_pth = os.path.join(LOCAL_MODELS_DIR, "saman_male.pth")
+saman_index = os.path.join(LOCAL_MODELS_DIR, "saman_male.index")
+
+sana_pth = os.path.join(LOCAL_MODELS_DIR, "sana_femal.pth")
+sana_index = os.path.join(LOCAL_MODELS_DIR, "sana_femal.index")
+
+sovanna_pth = os.path.join(LOCAL_MODELS_DIR, "sovanna_male.pth")
+sovanna_index = os.path.join(LOCAL_MODELS_DIR, "sovanna_male.index")
+
+# បង្កើត Dictionary សម្រាប់គ្រប់គ្រងម៉ូដែលសំឡេងខ្មែរ
+KHMER_VOICES = {
+    "នីតា (Nita - Female)": {"pth": nita_pth, "index": nita_index},
+    "និមល (Nimol - Female)": {"pth": nimol_pth, "index": nimol_index},
+    "សាម៉ន (Saman - Male)": {"pth": saman_pth, "index": saman_index},
+    "សាណា (Sana - Female)": {"pth": sana_pth, "index": sana_index},
+    "សុវណ្ណា (Sovanna - Male)": {"pth": sovanna_pth, "index": sovanna_index},
+}
+# =====================================================================
+
 parser = argparse.ArgumentParser(description="Run the app with optional sharing")
 parser.add_argument(
     '--share',
@@ -67,27 +102,18 @@ for url, filename in zip(test_model.split(", "), test_names):
         with open(filename, "wb") as f:
             pass
 
-title = "<center><strong><font size='7'>RVC⚡ZERO</font></strong></center>"
-description = "This demo is provided for educational and research purposes only. The authors and contributors of this project do not endorse or encourage any misuse or unethical use of this software. Any use of this software for purposes other than those intended is solely at the user's own risk. The authors and contributors shall not be held responsible for any damages or liabilities arising from the use of this demo inappropriately." if IS_ZERO_GPU else ""
-RESOURCES = "- You can also try `RVC⚡ZERO` in Colab’s free tier, which provides free GPU [link](https://github.com/R3gm/rvc_zero_ui?tab=readme-ov-file#rvczero)."
+title = "<center><strong><font size='7'>RVC⚡ZERO Khmer Edition</font></strong></center>"
+description = "This demo is provided for educational and research purposes only." if IS_ZERO_GPU else ""
+RESOURCES = "- You can also try `RVC⚡ZERO` in Colab’s free tier."
 theme = args.theme
 delete_cache_time = (3200, 3200) if IS_ZERO_GPU else (86400, 86400)
 
-PITCH_ALGO_OPT = [
-    "pm",
-    "harvest",
-    "crepe",
-    "rmvpe",
-    "rmvpe+",
-]
-
+PITCH_ALGO_OPT = ["pm", "harvest", "crepe", "rmvpe", "rmvpe+"]
 
 async def get_voices_list(proxy=None):
-    """Print all available voices."""
     from edge_tts import list_voices
     voices = await list_voices(proxy=proxy)
     voices = sorted(voices, key=lambda voice: voice["ShortName"])
-
     table = [
         {
             "ShortName": voice["ShortName"],
@@ -98,21 +124,15 @@ async def get_voices_list(proxy=None):
         }
         for voice in voices
     ]
-
     return table
 
-
 def find_files(directory):
     file_paths = []
     for filename in os.listdir(directory):
-        # Check if the file has the desired extension
         if filename.endswith('.pth') or filename.endswith('.zip') or filename.endswith('.index'):
-            # If yes, add the file path to the list
             file_paths.append(os.path.join(directory, filename))
-
     return file_paths
 
-
 def unzip_in_folder(my_zip, my_dir):
     with zipfile.ZipFile(my_zip) as zip:
         for zip_info in zip.infolist():
@@ -121,37 +141,24 @@ def unzip_in_folder(my_zip, my_dir):
             zip_info.filename = os.path.basename(zip_info.filename)
             zip.extract(zip_info, my_dir)
 
-
 def find_my_model(a_, b_):
-
     if a_ is None or a_.endswith(".pth"):
         return a_, b_
-
     txt_files = []
     for base_file in [a_, b_]:
         if base_file is not None and base_file.endswith(".txt"):
             txt_files.append(base_file)
-
     directory = os.path.dirname(a_)
-
     for txt in txt_files:
         with open(txt, 'r') as file:
             first_line = file.readline()
-
-        download_manager(
-            url=first_line.strip(),
-            path=directory,
-            extension="",
-        )
-
+        download_manager(url=first_line.strip(), path=directory, extension="")
     for f in find_files(directory):
         if f.endswith(".zip"):
             unzip_in_folder(f, directory)
-
     model = None
     index = None
     end_files = find_files(directory)
-
     for ff in end_files:
         if ff.endswith(".pth"):
             model = os.path.join(directory, ff)
@@ -159,79 +166,56 @@ def find_my_model(a_, b_):
         if ff.endswith(".index"):
             index = os.path.join(directory, ff)
             gr.Info(f"Index found: {ff}")
-
     if not model:
         gr.Error(f"Model not found in: {end_files}")
-
     if not index:
         gr.Warning("Index not found")
-
     return model, index
 
-
 def ensure_valid_file(url):
     if "huggingface" not in url:
         raise ValueError("Only downloads from Hugging Face are allowed")
-
     try:
         request = urllib.request.Request(url, method="HEAD")
         with urllib.request.urlopen(request) as response:
             content_length = response.headers.get("Content-Length")
-
         if content_length is None:
             raise ValueError("No Content-Length header found")
-
         file_size = int(content_length)
-        # print("debug", url, file_size)
         if file_size > 900000000 and IS_ZERO_GPU:
             raise ValueError("The file is too large. Max allowed is 900 MB.")
-
         return file_size
-
     except Exception as e:
         raise e
 
-
 def clear_files(directory):
     time.sleep(15)
     print(f"Clearing files: {directory}.")
     shutil.rmtree(directory)
 
-
 def get_my_model(url_data, progress=gr.Progress(track_tqdm=True)):
-
     if not url_data:
         return None, None
-
     if "," in url_data:
         a_, b_ = url_data.split(",")
         a_, b_ = a_.strip().replace("/blob/", "/resolve/"), b_.strip().replace("/blob/", "/resolve/")
     else:
         a_, b_ = url_data.strip().replace("/blob/", "/resolve/"), None
-
     out_dir = "downloads"
     folder_download = str(random.randint(1000, 9999))
     directory = os.path.join(out_dir, folder_download)
     os.makedirs(directory, exist_ok=True)
-
     try:
         valid_url = [a_] if not b_ else [a_, b_]
         for link in valid_url:
             ensure_valid_file(link)
-            download_manager(
-                url=link,
-                path=directory,
-                extension="",
-            )
-
+            download_manager(url=link, path=directory, extension="")
         for f in find_files(directory):
             if f.endswith(".zip"):
                 unzip_in_folder(f, directory)
-
         model = None
         index = None
         end_files = find_files(directory)
-
         for ff in end_files:
             if ff.endswith(".pth"):
                 model = ff
@@ -239,107 +223,68 @@ def get_my_model(url_data, progress=gr.Progress(track_tqdm=True)):
             if ff.endswith(".index"):
                 index = ff
                 gr.Info(f"Index found: {ff}")
-
         if not model:
             raise ValueError(f"Model not found in: {end_files}")
-
         if not index:
             gr.Warning("Index not found")
         else:
             index = os.path.abspath(index)
-
         return os.path.abspath(model), index
-
     except Exception as e:
         raise e
     finally:
-        # time.sleep(10)
-        # shutil.rmtree(directory)
         t = threading.Thread(target=clear_files, args=(directory,))
         t.start()
 
-
 def add_audio_effects(audio_list, type_output):
-    print("Audio effects")
-
     result = []
     for audio_path in audio_list:
         try:
             output_path = f'{os.path.splitext(audio_path)[0]}_effects.{type_output}'
-
-            # Initialize audio effects plugins
             board = Pedalboard(
                 [
                     HighpassFilter(),
                     Compressor(ratio=4, threshold_db=-15),
                     Reverb(room_size=0.10, dry_level=0.8, wet_level=0.2, damping=0.7)
-                 ]
+                ]
             )
-
-            # Temporary WAV to hold processed data before exporting
             temp_wav = f'{os.path.splitext(audio_path)[0]}_temp.wav'
-
             with AudioFile(audio_path) as f:
                 with AudioFile(temp_wav, 'w', f.samplerate, f.num_channels) as o:
                     while f.tell() < f.frames:
                         chunk = f.read(int(f.samplerate))
                         effected = board(chunk, f.samplerate, reset=False)
                         o.write(effected)
-
-            # Convert with pydub to desired output type
             audio_seg = AudioSegment.from_file(temp_wav, format=type_output)
             audio_seg.export(output_path, format=type_output, bitrate=("320k" if type_output == "mp3" else None))
-
-            # Clean up temp file
             os.remove(temp_wav)
-
             result.append(output_path)
         except Exception as e:
             traceback.print_exc()
-            print(f"Error noisereduce: {str(e)}")
             result.append(audio_path)
-
     return result
 
-
 def apply_noisereduce(audio_list, type_output):
-    # https://github.com/sa-if/Audio-Denoiser
-    print("Noice reduce")
-
     result = []
     for audio_path in audio_list:
         out_path = f"{os.path.splitext(audio_path)[0]}_noisereduce.{type_output}"
-
         try:
-            # Load audio file
             audio = AudioSegment.from_file(audio_path)
-
-            # Convert audio to numpy array
             samples = np.array(audio.get_array_of_samples())
-
-            # Reduce noise
             reduced_noise = nr.reduce_noise(samples, sr=audio.frame_rate, prop_decrease=0.6)
-
-            # Convert reduced noise signal back to audio
             reduced_audio = AudioSegment(
                 reduced_noise.tobytes(), 
                 frame_rate=audio.frame_rate, 
                 sample_width=audio.sample_width,
                 channels=audio.channels
             )
-
-            # Save reduced audio to file
             reduced_audio.export(out_path, format=type_output, bitrate=("320k" if type_output == "mp3" else None))
             result.append(out_path)
-
         except Exception as e:
             traceback.print_exc()
-            print(f"Error noisereduce: {str(e)}")
             result.append(audio_path)
-
     return result
 
-
 @spaces.GPU()
 def convert_now(audio_files, random_tag, converter, type_output, steps):
     for step in range(steps):
@@ -350,10 +295,9 @@ def convert_now(audio_files, random_tag, converter, type_output, steps):
             parallel_workers=(2 if IS_COLAB else 8),
             type_output=type_output,
         )
-
     return audio_files
 
-
+# --- កែប្រែត្រង់ចំណុចនេះ៖ បន្ថែមអថេរ voice_select ដើម្បីចាប់យកម៉ូដែលស្វ័យប្រវត្តិ ---
 def run(
     audio_files,
     file_m,
@@ -368,7 +312,13 @@ def run(
     audio_effects,
     type_output,
     steps,
+    voice_select="Upload Custom Model", 
 ):
+    # ប្រសិនបើអ្នកប្រើរើសសំឡេងខ្មែរដែលមានស្រាប់ វានឹងកំណត់យកហ្វាយពី Repository ភ្លាម
+    if voice_select in KHMER_VOICES:
+        file_m = KHMER_VOICES[voice_select]["pth"]
+        file_index = KHMER_VOICES[voice_select]["index"]
+
     if not audio_files:
         raise ValueError("The audio pls")
 
@@ -411,275 +361,103 @@ def run(
 
     return result
 
-
 def audio_conf():
-    return gr.File(
-        label="Audio files",
-        file_count="multiple",
-        type="filepath",
-        container=True,
-    )
-
+    return gr.File(label="Audio files", file_count="multiple", type="filepath", container=True)
 
 def model_conf():
-    return gr.File(
-        label="Model file",
-        type="filepath",
-        height=130,
-    )
-
+    return gr.File(label="Model file (.pth)", type="filepath", height=130, visible=False) # លាក់លំនាំដើម
 
 def pitch_algo_conf():
-    return gr.Dropdown(
-        PITCH_ALGO_OPT,
-        value=PITCH_ALGO_OPT[4],
-        label="Pitch algorithm",
-        visible=True,
-        interactive=True,
-    )
-
+    return gr.Dropdown(PITCH_ALGO_OPT, value=PITCH_ALGO_OPT[4], label="Pitch algorithm", visible=True, interactive=True)
 
 def pitch_lvl_conf():
-    return gr.Slider(
-        label="Pitch level",
-        minimum=-24,
-        maximum=24,
-        step=1,
-        value=0,
-        visible=True,
-        interactive=True,
-    )
-
+    return gr.Slider(label="Pitch level", minimum=-24, maximum=24, step=1, value=0, visible=True, interactive=True)
 
 def index_conf():
-    return gr.File(
-        label="Index file",
-        type="filepath",
-        height=130,
-    )
-
+    return gr.File(label="Index file (.index)", type="filepath", height=130, visible=False) # លាក់លំនាំដើម
 
 def index_inf_conf():
-    return gr.Slider(
-        minimum=0,
-        maximum=1,
-        label="Index influence",
-        value=0.75,
-    )
-
+    return gr.Slider(minimum=0, maximum=1, label="Index influence", value=0.75)
 
 def respiration_filter_conf():
-    return gr.Slider(
-        minimum=0,
-        maximum=7,
-        label="Respiration median filtering",
-        value=3,
-        step=1,
-        interactive=True,
-    )
-
+    return gr.Slider(minimum=0, maximum=7, label="Respiration median filtering", value=3, step=1, interactive=True)
 
 def envelope_ratio_conf():
-    return gr.Slider(
-        minimum=0,
-        maximum=1,
-        label="Envelope ratio",
-        value=0.25,
-        interactive=True,
-    )
-
+    return gr.Slider(minimum=0, maximum=1, label="Envelope ratio", value=0.25, interactive=True)
 
 def consonant_protec_conf():
-    return gr.Slider(
-        minimum=0,
-        maximum=0.5,
-        label="Consonant breath protection",
-        value=0.5,
-        interactive=True,
-    )
-
+    return gr.Slider(minimum=0, maximum=0.5, label="Consonant breath protection", value=0.5, interactive=True)
 
 def button_conf():
-    return gr.Button(
-        "Inference",
-        variant="primary",
-    )
-
+    return gr.Button("Inference", variant="primary")
 
 def output_conf():
-    return gr.File(
-        label="Result",
-        file_count="multiple",
-        interactive=False,
-    )
-
+    return gr.File(label="Result", file_count="multiple", interactive=False)
 
 def active_tts_conf():
-    return gr.Checkbox(
-        False,
-        label="TTS",
-        # info="",
-        container=False,
-    )
-
+    return gr.Checkbox(False, label="TTS", container=False)
 
 def tts_voice_conf():
-    return gr.Dropdown(
-        label="tts voice",
-        choices=voices,
-        visible=False,
-        value="en-US-EmmaMultilingualNeural-Female",
-    )
-
+    return gr.Dropdown(label="tts voice", choices=voices, visible=False, value="en-US-EmmaMultilingualNeural-Female")
 
 def tts_text_conf():
-    return gr.Textbox(
-        value="",
-        placeholder="Write the text here...",
-        label="Text",
-        visible=False,
-        lines=3,
-    )
-
+    return gr.Textbox(value="", placeholder="Write the text here...", label="Text", visible=False, lines=3)
 
 def tts_button_conf():
-    return gr.Button(
-        "Process TTS",
-        variant="secondary",
-        visible=False,
-    )
-
+    return gr.Button("Process TTS", variant="secondary", visible=False)
 
 def tts_play_conf():
-    return gr.Checkbox(
-        False,
-        label="Play",
-        # info="",
-        container=False,
-        visible=False,
-    )
-
+    return gr.Checkbox(False, label="Play", container=False, visible=False)
 
 def sound_gui():
-    return gr.Audio(
-        value=None,
-        type="filepath",
-        # format="mp3",
-        autoplay=True,
-        visible=True,
-        interactive=False,
-        elem_id="audio_tts",
-    )
-
+    return gr.Audio(value=None, type="filepath", autoplay=True, visible=True, interactive=False, elem_id="audio_tts")
 
 def steps_conf():
-    return gr.Slider(
-        minimum=1,
-        maximum=3,
-        label="Steps",
-        value=1,
-        step=1,
-        interactive=True,
-    )
-
+    return gr.Slider(minimum=1, maximum=3, label="Steps", value=1, step=1, interactive=True)
 
 def format_output_gui():
-    return gr.Dropdown(
-        label="Format output:",
-        choices=["wav", "mp3", "flac"],
-        value="wav",
-    )
+    return gr.Dropdown(label="Format output:", choices=["wav", "mp3", "flac"], value="wav")
 
 def denoise_conf():
-    return gr.Checkbox(
-        False,
-        label="Denoise",
-        # info="",
-        container=False,
-        visible=True,
-    )
-
+    return gr.Checkbox(False, label="Denoise", container=False, visible=True)
 
 def effects_conf():
-    return gr.Checkbox(
-        False,
-        label="Reverb",
-        # info="",
-        container=False,
-        visible=True,
-    )
-
+    return gr.Checkbox(False, label="Reverb", container=False, visible=True)
 
 def infer_tts_audio(tts_voice, tts_text, play_tts):
     out_dir = "output"
     folder_tts = "USER_"+str(random.randint(10000, 99999))
-
     os.makedirs(out_dir, exist_ok=True)
     os.makedirs(os.path.join(out_dir, folder_tts), exist_ok=True)
     out_path = os.path.join(out_dir, folder_tts, "tts.mp3")
-
     asyncio.run(edge_tts.Communicate(tts_text, "-".join(tts_voice.split('-')[:-1])).save(out_path))
     if play_tts:
         return [out_path], out_path
     return [out_path], None
 
-
 def show_components_tts(value_active):
-    return gr.update(
-        visible=value_active
-    ), gr.update(
-        visible=value_active
-    ), gr.update(
-        visible=value_active
-    ), gr.update(
-        visible=value_active
-    )
-
+    return gr.update(visible=value_active), gr.update(visible=value_active), gr.update(visible=value_active), gr.update(visible=value_active)
 
 def down_active_conf():
-    return gr.Checkbox(
-        False,
-        label="URL-to-Model",
-        # info="",
-        container=False,
-    )
-
+    return gr.Checkbox(False, label="URL-to-Model", container=False)
 
 def down_url_conf():
-    return gr.Textbox(
-        value="",
-        placeholder="Write the url here...",
-        label="Enter URL",
-        visible=False,
-        lines=1,
-    )
-
+    return gr.Textbox(value="", placeholder="Write the url here...", label="Enter URL", visible=False, lines=1)
 
 def down_button_conf():
-    return gr.Button(
-        "Process",
-        variant="secondary",
-        visible=False,
-    )
-
+    return gr.Button("Process", variant="secondary", visible=False)
 
 def show_components_down(value_active):
-    return gr.update(
-        visible=value_active
-    ), gr.update(
-        visible=value_active
-    ), gr.update(
-        visible=value_active
-    )
+    return gr.update(visible=value_active), gr.update(visible=value_active), gr.update(visible=value_active)
+
+# បង្កើតមុខងារកែប្រែភាពមើលឃើញរបស់ File Upload
+def update_model_visibility(voice_choice):
+    if voice_choice == "Upload Custom Model":
+        return gr.update(visible=True), gr.update(visible=True)
+    return gr.update(visible=False), gr.update(visible=False)
 
 CSS = """
-#audio_tts {
-  visibility: hidden;   /* invisible but still takes space */
-  height: 0px;
-  width: 0px;
-  max-width: 0px;
-  max-height: 0px;
-}
+#audio_tts { visibility: hidden; height: 0px; width: 0px; max-width: 0px; max-height: 0px; }
 """
 
 def get_gui(theme):
@@ -697,7 +475,6 @@ def get_gui(theme):
                         with gr.Row():
                             tts_voice = tts_voice_conf()
                             tts_active_play = tts_play_conf()
-
                 tts_button = tts_button_conf()
                 tts_play = sound_gui()
 
@@ -707,8 +484,14 @@ def get_gui(theme):
             outputs=[tts_voice, tts_text, tts_button, tts_active_play],
         )
 
+        # --- កែប្រែត្រង់ចំណុចនេះ៖ បន្ថែម Dropdown ជ្រើសរើសសំឡេងខ្មែរ ---
+        voice_select = gr.Dropdown(
+            choices=list(KHMER_VOICES.keys()) + ["Upload Custom Model"],
+            value="នីតា (Nita - Female)",
+            label="🎙️ ជ្រើសរើសម៉ូដែលសំឡេងខ្មែរ (Select Khmer Voice Model)",
+        )
+
         aud = audio_conf()
-        # gr.HTML("<hr>")
 
         tts_button.click(
             fn=infer_tts_audio,
@@ -718,7 +501,7 @@ def get_gui(theme):
 
         down_active_gui = down_active_conf()
         down_info = gr.Markdown(
-            f"Provide a link to a zip file, like this one: `https://huggingface.co/MrDawg/ToothBrushing/resolve/main/ToothBrushing.zip?download=true`, or separate links with a comma for the .pth and .index files, like this: `{test_model}`",
+            f"Provide a link to a zip file...",
             visible=False
         )
         with gr.Row():
@@ -732,6 +515,13 @@ def get_gui(theme):
                 model = model_conf()
                 indx = index_conf()
 
+        # កំណត់ឱ្យលាក់ ឬបង្ហាញផ្ទាំង Upload ទៅតាមការរើសសំឡេង
+        voice_select.change(
+            fn=update_model_visibility,
+            inputs=[voice_select],
+            outputs=[model, indx]
+        )
+
         down_active_gui.change(
             show_components_down,
             [down_active_gui],
@@ -758,9 +548,11 @@ def get_gui(theme):
                     with gr.Row():
                         denoise_gui = denoise_conf()
                         effects_gui = effects_conf()
+        
         button_base = button_conf()
         output_base = output_conf()
 
+        # បញ្ចូល voice_select ទៅក្នុងប្រព័ន្ធរត់កូដ
         button_base.click(
             run,
             inputs=[
@@ -777,59 +569,17 @@ def get_gui(theme):
                 effects_gui,
                 format_out,
                 steps_gui,
+                voice_select, # ថែមត្រង់នេះ
             ],
             outputs=[output_base],
         )
 
         gr.Examples(
             examples=[
-                [
-                    ["./test.ogg"],
-                    "./model.pth",
-                    "rmvpe+",
-                    0,
-                    "./model.index",
-                    0.75,
-                    3,
-                    0.25,
-                    0.50,
-                ],
-                [
-                    ["./example2/test2.ogg"],
-                    "./example2/model_link.txt",
-                    "rmvpe+",
-                    0,
-                    "./example2/index_link.txt",
-                    0.75,
-                    3,
-                    0.25,
-                    0.50,
-                ],
-                [
-                    ["./example3/test3.wav"],
-                    "./example3/zip_link.txt",
-                    "rmvpe+",
-                    0,
-                    None,
-                    0.75,
-                    3,
-                    0.25,
-                    0.50,
-                ],
-
+                [["./test.ogg"], "./model.pth", "rmvpe+", 0, "./model.index", 0.75, 3, 0.25, 0.50],
             ],
             fn=run,
-            inputs=[
-                aud,
-                model,
-                algo,
-                algo_lvl,
-                indx,
-                indx_inf,
-                res_fc,
-                envel_r,
-                const,
-            ],
+            inputs=[aud, model, algo, algo_lvl, indx, indx_inf, res_fc, envel_r, const],
             outputs=[output_base],
             cache_examples=False,
         )
@@ -837,7 +587,6 @@ def get_gui(theme):
 
     return app
 
-
 if __name__ == "__main__":
     tts_voice_list = asyncio.new_event_loop().run_until_complete(get_voices_list(proxy=None))
     voices = sorted([
@@ -846,9 +595,7 @@ if __name__ == "__main__":
     ])
 
     app = get_gui(theme)
-
     app.queue(default_concurrency_limit=40)
-
     app.launch(
         max_threads=40,
         share=IS_COLAB,
@@ -856,4 +603,4 @@ if __name__ == "__main__":
         quiet=False,
         debug=IS_COLAB,
         ssr_mode=False,
-    )
+    )