Update app.py

app.py

@@ -8,18 +8,7 @@ import gradio as gr
 import yt_dlp
 import subprocess
 
-roformer_models = {
-        'BS-Roformer-Viperx-1297.ckpt': 'model_bs_roformer_ep_317_sdr_12.9755.ckpt',
-        'BS-Roformer-Viperx-1296.ckpt': 'model_bs_roformer_ep_368_sdr_12.9628.ckpt',
-        'BS-Roformer-Viperx-1053.ckpt': 'model_bs_roformer_ep_937_sdr_10.5309.ckpt',
-        'Mel-Roformer-Viperx-1143.ckpt': 'model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt'
-}
-
-mdx23c_models = [
-    'MDX23C_D1581.ckpt',
-    'MDX23C-8KFFT-InstVoc_HQ.ckpt',
-    'MDX23C-8KFFT-InstVoc_HQ_2.ckpt',
-]
+
 
 mdxnet_models = [
     'UVR-MDX-NET-Inst_full_292.onnx',
@@ -62,41 +51,7 @@ mdxnet_models = [
     'kuielab_b_drums.onnx',
 ]
 
-vrarch_models = [
-    '1_HP-UVR.pth',
-    '2_HP-UVR.pth',
-    '3_HP-Vocal-UVR.pth',
-    '4_HP-Vocal-UVR.pth',
-    '5_HP-Karaoke-UVR.pth',
-    '6_HP-Karaoke-UVR.pth',
-    '7_HP2-UVR.pth',
-    '8_HP2-UVR.pth',
-    '9_HP2-UVR.pth',
-    '10_SP-UVR-2B-32000-1.pth',
-    '11_SP-UVR-2B-32000-2.pth',
-    '12_SP-UVR-3B-44100.pth',
-    '13_SP-UVR-4B-44100-1.pth',
-    '14_SP-UVR-4B-44100-2.pth',
-    '15_SP-UVR-MID-44100-1.pth',
-    '16_SP-UVR-MID-44100-2.pth',
-    '17_HP-Wind_Inst-UVR.pth',
-    'UVR-De-Echo-Aggressive.pth',
-    'UVR-De-Echo-Normal.pth',
-    'UVR-DeEcho-DeReverb.pth',
-    'UVR-DeNoise-Lite.pth',
-    'UVR-DeNoise.pth',
-    'UVR-BVE-4B_SN-44100-1.pth',
-    'MGM_HIGHEND_v4.pth',
-    'MGM_LOWEND_A_v4.pth',
-    'MGM_LOWEND_B_v4.pth',
-    'MGM_MAIN_v4.pth',
-]
 
-demucs_models = [
-    'htdemucs_ft.yaml', 
-    'htdemucs.yaml',
-    'hdemucs_mmi.yaml',
-]
 
 output_format = [
     'wav',
@@ -111,18 +66,7 @@ mdxnet_overlap_values = [
     '0.99',
 ]
 
-vrarch_window_size_values = [
-    '320',
-    '512',
-    '1024',
-]
 
-demucs_overlap_values = [
-    '0.25',
-    '0.50',
-    '0.75',
-    '0.99',
-]
 
 def download_audio(url):
     ydl_opts = {
@@ -143,50 +87,6 @@ def download_audio(url):
 
         return sample_rate, audio_array
 
-def roformer_separator(roformer_audio, roformer_model, roformer_output_format, roformer_overlap, roformer_segment_size):
-  files_list = []
-  files_list.clear()
-  directory = "./outputs"
-  random_id = str(random.randint(10000, 99999))
-  pattern = f"{random_id}"
-  os.makedirs("outputs", exist_ok=True)
-  write(f'{random_id}.wav', roformer_audio[0], roformer_audio[1])
-  full_roformer_model = roformer_models[roformer_model]
-  prompt = f"audio-separator {random_id}.wav --model_filename {full_roformer_model} --output_dir=./outputs --output_format={roformer_output_format} --normalization=0.9 --mdxc_overlap={roformer_overlap} --mdxc_segment_size={roformer_segment_size}"
-  os.system(prompt)
-
-  for file in os.listdir(directory):
-    if re.search(pattern, file):
-      files_list.append(os.path.join(directory, file))
-
-  stem1_file = files_list[0]
-  stem2_file = files_list[1]
-
-  return stem1_file, stem2_file
-
-def mdxc_separator(mdx23c_audio, mdx23c_model, mdx23c_output_format, mdx23c_segment_size, mdx23c_overlap, mdx23c_denoise):
-  files_list = []
-  files_list.clear()
-  directory = "./outputs"
-  random_id = str(random.randint(10000, 99999))
-  pattern = f"{random_id}"
-  os.makedirs("outputs", exist_ok=True)
-  write(f'{random_id}.wav', mdx23c_audio[0], mdx23c_audio[1])
-  prompt = f"audio-separator {random_id}.wav --model_filename {mdx23c_model} --output_dir=./outputs --output_format={mdx23c_output_format} --normalization=0.9 --mdxc_segment_size={mdx23c_segment_size} --mdxc_overlap={mdx23c_overlap}"
-  
-  if mdx23c_denoise:
-    prompt += " --mdx_enable_denoise"
-  
-  os.system(prompt)
-
-  for file in os.listdir(directory):
-    if re.search(pattern, file):
-      files_list.append(os.path.join(directory, file))
-
-  stem1_file = files_list[0]
-  stem2_file = files_list[1]
-
-  return stem1_file, stem2_file
 
 def mdxnet_separator(mdxnet_audio, mdxnet_model, mdxnet_output_format, mdxnet_segment_size, mdxnet_overlap, mdxnet_denoise):
   files_list = []
@@ -212,116 +112,6 @@ def mdxnet_separator(mdxnet_audio, mdxnet_model, mdxnet_output_format, mdxnet_se
 
   return stem1_file, stem2_file
 
-def vrarch_separator(vrarch_audio, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process):
-  files_list = []
-  files_list.clear()
-  directory = "./outputs"
-  random_id = str(random.randint(10000, 99999))
-  pattern = f"{random_id}"
-  os.makedirs("outputs", exist_ok=True)
-  write(f'{random_id}.wav', vrarch_audio[0], vrarch_audio[1])
-  prompt = f"audio-separator {random_id}.wav --model_filename {vrarch_model} --output_dir=./outputs --output_format={vrarch_output_format} --normalization=0.9 --vr_window_size={vrarch_window_size} --vr_aggression={vrarch_agression}"
-  
-  if vrarch_tta:
-    prompt += " --vr_enable_tta"
-  if vrarch_high_end_process:
-    prompt += " --vr_high_end_process"
-
-  os.system(prompt)
-
-  for file in os.listdir(directory):
-    if re.search(pattern, file):
-      files_list.append(os.path.join(directory, file))
-
-  stem1_file = files_list[0]
-  stem2_file = files_list[1]
-
-  return stem1_file, stem2_file
-
-def demucs_separator(demucs_audio, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap):
-  files_list = []
-  files_list.clear()
-  directory = "./outputs"
-  random_id = str(random.randint(10000, 99999))
-  pattern = f"{random_id}"
-  os.makedirs("outputs", exist_ok=True)
-  write(f'{random_id}.wav', demucs_audio[0], demucs_audio[1])
-  prompt = f"audio-separator {random_id}.wav --model_filename {demucs_model} --output_dir=./outputs --output_format={demucs_output_format} --normalization=0.9 --demucs_shifts={demucs_shifts} --demucs_overlap={demucs_overlap}"
-
-  os.system(prompt)
-
-  for file in os.listdir(directory):
-    if re.search(pattern, file):
-      files_list.append(os.path.join(directory, file))
-
-  stem1_file = files_list[0]
-  stem2_file = files_list[1]
-  stem3_file = files_list[2]
-  stem4_file = files_list[3]
-
-  return stem1_file, stem2_file, stem3_file, stem4_file
-
-def roformer_batch(path_input, path_output, model, output_format, overlap, segment_size):
-  found_files = []
-  logs = []
-  logs.clear()
-
-  extensions = (".mp3", ".wav", ".flac")
-
-  full_roformer_model = roformer_models[model]
-
-  for audio_files in os.listdir(path_input):
-    if audio_files.endswith(extensions):
-      found_files.append(audio_files)
-  total_files = len(found_files)
-
-  if total_files == 0:
-    logs.append("No valid audio files.")
-    yield "\n".join(logs)
-  else:
-    logs.append(f"{total_files} audio files found")
-    found_files.sort()
-
-    for audio_files in found_files:
-      file_path = os.path.join(path_input, audio_files)
-      prompt = ["audio-separator", file_path, "-m", f"{full_roformer_model}", f"--output_dir={path_output}", f"--output_format={output_format}", "--normalization=0.9", f"--mdxc_overlap={overlap}", f"--mdxc_segment_size={segment_size}"]
-      logs.append(f"Processing file: {audio_files}")
-      yield "\n".join(logs)
-      subprocess.run(prompt)
-      logs.append(f"File: {audio_files} processed!")
-      yield "\n".join(logs)
-
-def mdx23c_batch(path_input, path_output, model, output_format, overlap, segment_size, denoise):
-  found_files = []
-  logs = []
-  logs.clear()
-
-  extensions = (".mp3", ".wav", ".flac")
-
-  for audio_files in os.listdir(path_input):
-    if audio_files.endswith(extensions):
-      found_files.append(audio_files)
-  total_files = len(found_files)
-
-  if total_files == 0:
-    logs.append("No valid audio files.")
-    yield "\n".join(logs)
-  else:
-    logs.append(f"{total_files} audio files found")
-    found_files.sort()
-
-    for audio_files in found_files:
-      file_path = os.path.join(path_input, audio_files)
-      prompt = ["audio-separator", file_path, "-m", f"{model}", f"--output_dir={path_output}", f"--output_format={output_format}", "--normalization=0.9", f"--mdxc_overlap={overlap}", f"--mdxc_segment_size={segment_size}"]
-
-      if denoise:
-        prompt.append("--mdx_enable_denoise")
-
-      logs.append(f"Processing file: {audio_files}")
-      yield "\n".join(logs)
-      subprocess.run(prompt)
-      logs.append(f"File: {audio_files} processed!")
-      yield "\n".join(logs)
 
 def mdxnet_batch(path_input, path_output, model, output_format, overlap, segment_size, denoise):
   found_files = []
@@ -355,268 +145,12 @@ def mdxnet_batch(path_input, path_output, model, output_format, overlap, segment
       logs.append(f"File: {audio_files} processed!")
       yield "\n".join(logs)
 
-def vrarch_batch(path_input, path_output, model, output_format, window_size, agression, tta, high_end_process):
-  found_files = []
-  logs = []
-  logs.clear()
-
-  extensions = (".mp3", ".wav", ".flac")
-
-  for audio_files in os.listdir(path_input):
-    if audio_files.endswith(extensions):
-      found_files.append(audio_files)
-  total_files = len(found_files)
-
-  if total_files == 0:
-    logs.append("No valid audio files.")
-    yield "\n".join(logs)
-  else:
-    logs.append(f"{total_files} audio files found")
-    found_files.sort()
-
-    for audio_files in found_files:
-      file_path = os.path.join(path_input, audio_files)
-      prompt = ["audio-separator", file_path, "-m", f"{model}", f"--output_dir={path_output}", f"--output_format={output_format}", "--normalization=0.9", f"--vr_window_size={window_size}", f"--vr_aggression={agression}"]
-
-      if tta:
-        prompt.append("--vr_enable_tta")
-      if high_end_process:
-         prompt.append("--vr_high_end_process")
-
-      logs.append(f"Processing file: {audio_files}")
-      yield "\n".join(logs)
-      subprocess.run(prompt)
-      logs.append(f"File: {audio_files} processed!")
-      yield "\n".join(logs)
-
-def demucs_batch(path_input, path_output, model, output_format, shifts, overlap):
-  found_files = []
-  logs = []
-  logs.clear()
-
-  extensions = (".mp3", ".wav", ".flac")
 
-  for audio_files in os.listdir(path_input):
-    if audio_files.endswith(extensions):
-      found_files.append(audio_files)
-  total_files = len(found_files)
-
-  if total_files == 0:
-    logs.append("No valid audio files.")
-    yield "\n".join(logs)
-  else:
-    logs.append(f"{total_files} audio files found")
-    found_files.sort()
-
-    for audio_files in found_files:
-      file_path = os.path.join(path_input, audio_files)
-      prompt = ["audio-separator", file_path, "-m", f"{model}", f"--output_dir={path_output}", f"--output_format={output_format}", "--normalization=0.9", f"--demucs_shifts={shifts}", f"--demucs_overlap={overlap}"]
-
-      logs.append(f"Processing file: {audio_files}")
-      yield "\n".join(logs)
-      subprocess.run(prompt)
-      logs.append(f"File: {audio_files} processed!")
-      yield "\n".join(logs)
-
-with gr.Blocks(theme="NoCrypt/[email protected]", title="🎵 UVR5 UI 🎵") as app:
-    gr.Markdown("<h1> 🎵 UVR5 UI 🎵 </h1>")
+with gr.Blocks(theme="Blane187/fuchsia", title="🎵 UVR5 MDX 🎵") as app:
+    gr.Markdown("<h1> 🎵 UVR MDX 🎵 </h1>")
     gr.Markdown("If you liked this HF Space you can give me a ❤️")
     gr.Markdown("Try UVR5 UI using Colab [here](https://colab.research.google.com/github/Eddycrack864/UVR5-UI/blob/main/UVR_UI.ipynb)")
-    with gr.Tabs():
-        with gr.TabItem("BS/Mel Roformer"):
-            with gr.Row():
-                roformer_model = gr.Dropdown(
-                    label = "Select the Model",
-                    choices=list(roformer_models.keys()),
-                    interactive = True
-                )
-                roformer_output_format = gr.Dropdown(
-                    label = "Select the Output Format",
-                    choices = output_format,
-                    interactive = True
-                )
-            with gr.Row():
-                roformer_overlap = gr.Slider(
-                    minimum = 2,
-                    maximum = 4,
-                    step = 1,
-                    label = "Overlap",
-                    info = "Amount of overlap between prediction windows.",
-                    value = 4,
-                    interactive = True
-                )
-                roformer_segment_size = gr.Slider(
-                    minimum = 32,
-                    maximum = 4000,
-                    step = 32,
-                    label = "Segment Size",
-                    info = "Larger consumes more resources, but may give better results.",
-                    value = 256,
-                    interactive = True
-                )
-            with gr.Row():
-                roformer_audio = gr.Audio(
-                    label = "Input Audio",
-                    type = "numpy",
-                    interactive = True
-                )
-            with gr.Accordion("Separation by Link", open = False):
-                with gr.Row():
-                    roformer_link = gr.Textbox(
-                    label = "Link",
-                    placeholder = "Paste the link here",
-                    interactive = True
-                )
-                with gr.Row():
-                   gr.Markdown("You can paste the link to the video/audio from many sites, check the complete list [here](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)")
-                with gr.Row():
-                    roformer_download_button = gr.Button(
-                    "Download!",
-                    variant = "primary"
-                )
-
-            roformer_download_button.click(download_audio, [roformer_link], [roformer_audio])
-
-            with gr.Accordion("Batch Separation", open = False):
-                with gr.Row():
-                    roformer_input_path = gr.Textbox(
-                        label = "Input Path",
-                        placeholder = "Place the input path here",
-                        interactive = True
-                    )
-                    roformer_output_path = gr.Textbox(
-                        label = "Output Path",
-                        placeholder = "Place the output path here",
-                        interactive = True
-                    )
-                with gr.Row():
-                    roformer_bath_button = gr.Button("Separate!", variant = "primary")
-                with gr.Row():
-                    roformer_info = gr.Textbox(
-                        label = "Output Information",
-                        interactive = False
-                    )
-
-            roformer_bath_button.click(roformer_batch, [roformer_input_path, roformer_output_path, roformer_model, roformer_output_format, roformer_overlap, roformer_segment_size], [roformer_info])
-
-            with gr.Row():
-                roformer_button = gr.Button("Separate!", variant = "primary")
-            with gr.Row():
-                roformer_stem1 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    label = "Stem 1",
-                    type = "filepath"
-                )
-                roformer_stem2 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    label = "Stem 2",
-                    type = "filepath"
-                )
-
-            roformer_button.click(roformer_separator, [roformer_audio, roformer_model, roformer_output_format, roformer_overlap, roformer_segment_size], [roformer_stem1, roformer_stem2])
-        
-        with gr.TabItem("MDX23C"):
-            with gr.Row():
-                mdx23c_model = gr.Dropdown(
-                    label = "Select the Model",
-                    choices = mdx23c_models,
-                    interactive = True
-                )
-                mdx23c_output_format = gr.Dropdown(
-                    label = "Select the Output Format",
-                    choices = output_format,
-                    interactive = True
-                )
-            with gr.Row():
-                mdx23c_segment_size = gr.Slider(
-                    minimum = 32,
-                    maximum = 4000,
-                    step = 32,
-                    label = "Segment Size",
-                    info = "Larger consumes more resources, but may give better results.",
-                    value = 256,
-                    interactive = True
-                )
-                mdx23c_overlap = gr.Slider(
-                    minimum = 2,
-                    maximum = 50,
-                    step = 1,
-                    label = "Overlap",
-                    info = "Amount of overlap between prediction windows.",
-                    value = 8,
-                    interactive = True
-                )
-                mdx23c_denoise = gr.Checkbox(
-                    label = "Denoise",
-                    info = "Enable denoising during separation.",
-                    value = False,
-                    interactive = True
-                )
-            with gr.Row():
-                mdx23c_audio = gr.Audio(
-                    label = "Input Audio",
-                    type = "numpy",
-                    interactive = True
-                )
-            with gr.Accordion("Separation by Link", open = False):
-                with gr.Row():
-                    mdx23c_link = gr.Textbox(
-                    label = "Link",
-                    placeholder = "Paste the link here",
-                    interactive = True
-                )
-                with gr.Row():
-                   gr.Markdown("You can paste the link to the video/audio from many sites, check the complete list [here](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)")
-                with gr.Row():
-                    mdx23c_download_button = gr.Button(
-                    "Download!",
-                    variant = "primary"
-                )
-
-            mdx23c_download_button.click(download_audio, [mdx23c_link], [mdx23c_audio])
-
-            with gr.Accordion("Batch Separation", open = False):
-                with gr.Row():
-                    mdx23c_input_path = gr.Textbox(
-                        label = "Input Path",
-                        placeholder = "Place the input path here",
-                        interactive = True
-                    )
-                    mdx23c_output_path = gr.Textbox(
-                        label = "Output Path",
-                        placeholder = "Place the output path here",
-                        interactive = True
-                    )
-                with gr.Row():
-                    mdx23c_bath_button = gr.Button("Separate!", variant = "primary")
-                with gr.Row():
-                    mdx23c_info = gr.Textbox(
-                        label = "Output Information",
-                        interactive = False
-                    )
-
-            mdx23c_bath_button.click(mdx23c_batch, [mdx23c_input_path, mdx23c_output_path, mdx23c_model, mdx23c_output_format, mdx23c_overlap, mdx23c_segment_size, mdx23c_denoise], [mdx23c_info])
-
-            with gr.Row():
-                mdx23c_button = gr.Button("Separate!", variant = "primary")
-            with gr.Row():
-                mdx23c_stem1 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    label = "Stem 1",
-                    type = "filepath"
-                )
-                mdx23c_stem2 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    label = "Stem 2",
-                    type = "filepath"
-                )
-
-            mdx23c_button.click(mdxc_separator, [mdx23c_audio, mdx23c_model, mdx23c_output_format, mdx23c_segment_size, mdx23c_overlap, mdx23c_denoise], [mdx23c_stem1, mdx23c_stem2])
-        
+    with gr.Tabs():       
         with gr.TabItem("MDX-NET"):
             with gr.Row():
                 mdxnet_model = gr.Dropdown(
@@ -714,214 +248,7 @@ with gr.Blocks(theme="NoCrypt/[email protected]", title="🎵 UVR5 UI 🎵") as app:
 
             mdxnet_button.click(mdxnet_separator, [mdxnet_audio, mdxnet_model, mdxnet_output_format, mdxnet_segment_size, mdxnet_overlap, mdxnet_denoise], [mdxnet_stem1, mdxnet_stem2])
 
-        with gr.TabItem("VR ARCH"):
-            with gr.Row():
-                vrarch_model = gr.Dropdown(
-                    label = "Select the Model",
-                    choices = vrarch_models,
-                    interactive = True
-                )
-                vrarch_output_format = gr.Dropdown(
-                    label = "Select the Output Format",
-                    choices = output_format,
-                    interactive = True
-                )
-            with gr.Row():
-                vrarch_window_size = gr.Dropdown(
-                    label = "Window Size",
-                    choices = vrarch_window_size_values,
-                    value = vrarch_window_size_values[0],
-                    interactive = True
-                )
-                vrarch_agression = gr.Slider(
-                    minimum = 1,
-                    maximum = 50,
-                    step = 1,
-                    label = "Agression",
-                    info = "Intensity of primary stem extraction.",
-                    value = 5,
-                    interactive = True
-                )
-                vrarch_tta = gr.Checkbox(
-                    label = "TTA",
-                    info = "Enable Test-Time-Augmentation; slow but improves quality.",
-                    value = True,
-                    visible = True,
-                    interactive = True,
-                )
-                vrarch_high_end_process = gr.Checkbox(
-                    label = "High End Process",
-                    info = "Mirror the missing frequency range of the output.",
-                    value = False,
-                    visible = True,
-                    interactive = True,
-                )
-            with gr.Row():
-                vrarch_audio = gr.Audio(
-                    label = "Input Audio",
-                    type = "numpy",
-                    interactive = True
-                )
-            with gr.Accordion("Separation by Link", open = False):
-                with gr.Row():
-                   vrarch_link = gr.Textbox(
-                    label = "Link",
-                    placeholder = "Paste the link here",
-                    interactive = True
-                )
-                with gr.Row():
-                   gr.Markdown("You can paste the link to the video/audio from many sites, check the complete list [here](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)")
-                with gr.Row():
-                    vrarch_download_button = gr.Button(
-                    "Download!",
-                    variant = "primary"
-                )
-
-            vrarch_download_button.click(download_audio, [vrarch_link], [vrarch_audio])
-
-            with gr.Accordion("Batch Separation", open = False):
-                with gr.Row():
-                    vrarch_input_path = gr.Textbox(
-                        label = "Input Path",
-                        placeholder = "Place the input path here",
-                        interactive = True
-                    )
-                    vrarch_output_path = gr.Textbox(
-                        label = "Output Path",
-                        placeholder = "Place the output path here",
-                        interactive = True
-                    )
-                with gr.Row():
-                    vrarch_bath_button = gr.Button("Separate!", variant = "primary")
-                with gr.Row():
-                    vrarch_info = gr.Textbox(
-                        label = "Output Information",
-                        interactive = False
-                    )
-
-            vrarch_bath_button.click(vrarch_batch, [vrarch_input_path, vrarch_output_path, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process], [vrarch_info])
-
-            with gr.Row():
-                vrarch_button = gr.Button("Separate!", variant = "primary")
-            with gr.Row():
-                vrarch_stem1 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    type = "filepath",
-                    label = "Stem 1"
-                )
-                vrarch_stem2 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    type = "filepath",
-                    label = "Stem 2"
-                )
-
-            vrarch_button.click(vrarch_separator, [vrarch_audio, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process], [vrarch_stem1, vrarch_stem2])
-
-        with gr.TabItem("Demucs"):
-            with gr.Row():
-                demucs_model = gr.Dropdown(
-                    label = "Select the Model",
-                    choices = demucs_models,
-                    interactive = True
-                )
-                demucs_output_format = gr.Dropdown(
-                    label = "Select the Output Format",
-                    choices = output_format,
-                    interactive = True
-                )
-            with gr.Row():
-                demucs_shifts = gr.Slider(
-                    minimum = 1,
-                    maximum = 20,
-                    step = 1,
-                    label = "Shifts",
-                    info = "Number of predictions with random shifts, higher = slower but better quality.",
-                    value = 2,
-                    interactive = True
-                )
-                demucs_overlap = gr.Dropdown(
-                   label = "Overlap",
-                   choices = demucs_overlap_values,
-                   value = demucs_overlap_values[0],
-                   interactive = True
-                )
-            with gr.Row():
-                demucs_audio = gr.Audio(
-                    label = "Input Audio",
-                    type = "numpy",
-                    interactive = True
-                )
-            with gr.Accordion("Separation by Link", open = False):
-                with gr.Row():
-                    demucs_link = gr.Textbox(
-                    label = "Link",
-                    placeholder = "Paste the link here",
-                    interactive = True
-                )
-                with gr.Row():
-                   gr.Markdown("You can paste the link to the video/audio from many sites, check the complete list [here](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)")
-                with gr.Row():
-                    demucs_download_button = gr.Button(
-                    "Download!",
-                    variant = "primary"
-                )
-
-            demucs_download_button.click(download_audio, [demucs_link], [demucs_audio])
-
-            with gr.Accordion("Batch Separation", open = False):
-                with gr.Row():
-                    demucs_input_path = gr.Textbox(
-                        label = "Input Path",
-                        placeholder = "Place the input path here",
-                        interactive = True
-                    )
-                    demucs_output_path = gr.Textbox(
-                        label = "Output Path",
-                        placeholder = "Place the output path here",
-                        interactive = True
-                    )
-                with gr.Row():
-                    demucs_bath_button = gr.Button("Separate!", variant = "primary")
-                with gr.Row():
-                    demucs_info = gr.Textbox(
-                        label = "Output Information",
-                        interactive = False
-                    )
-
-            demucs_bath_button.click(demucs_batch, [demucs_input_path, demucs_output_path, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap], [demucs_info])
-
-            with gr.Row():
-                demucs_button = gr.Button("Separate!", variant = "primary")
-            with gr.Row():
-                demucs_stem1 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    type = "filepath",
-                    label = "Stem 1"
-                )
-                demucs_stem2 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    type = "filepath",
-                    label = "Stem 2"
-                )
-            with gr.Row():
-                demucs_stem3 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    type = "filepath",
-                    label = "Stem 3"
-                )
-                demucs_stem4 = gr.Audio(
-                    show_download_button = True,
-                    interactive = False,
-                    type = "filepath",
-                    label = "Stem 4"
-                )
-            
-            demucs_button.click(demucs_separator, [demucs_audio, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap], [demucs_stem1, demucs_stem2, demucs_stem3, demucs_stem4])
+        
 
         with gr.TabItem("Credits"):
            gr.Markdown(