Update app.py

app.py

@@ -1,4 +1,606 @@
 import os
+import torch
+import shutil
+import logging
+import gradio as gr
 
-os.system("PolUVR --list_models")
-os.system("python PolUVR_app.py")
+from PolUVR.separator import Separator
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+use_autocast = device == "cuda"
+
+#=========================#
+#     Roformer Models     #
+#=========================#
+ROFORMER_MODELS = {
+    'BS-Roformer-Viperx-1053': 'model_bs_roformer_ep_937_sdr_10.5309.ckpt',
+    'BS-Roformer-Viperx-1296': 'model_bs_roformer_ep_368_sdr_12.9628.ckpt',
+    'BS-Roformer-Viperx-1297': 'model_bs_roformer_ep_317_sdr_12.9755.ckpt',
+    'BS-Roformer-De-Reverb': 'deverb_bs_roformer_8_384dim_10depth.ckpt',
+    'Mel-Roformer-Viperx-1143': 'model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt',
+    'Mel-Roformer-Crowd-Aufr33-Viperx': 'mel_band_roformer_crowd_aufr33_viperx_sdr_8.7144.ckpt',
+    'Mel-Roformer-Karaoke-Aufr33-Viperx': 'mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt',
+    'Mel-Roformer-Denoise-Aufr33': 'denoise_mel_band_roformer_aufr33_sdr_27.9959.ckpt',
+    'Mel-Roformer-Denoise-Aufr33-Aggr': 'denoise_mel_band_roformer_aufr33_aggr_sdr_27.9768.ckpt',
+    'MelBand Roformer Kim | Inst V1 by Unwa': 'melband_roformer_inst_v1.ckpt',
+    'MelBand Roformer Kim | Inst V2 by Unwa': 'melband_roformer_inst_v2.ckpt',
+    'MelBand Roformer Kim | InstVoc Duality V1 by Unwa': 'melband_roformer_instvoc_duality_v1.ckpt',
+    'MelBand Roformer Kim | InstVoc Duality V2 by Unwa': 'melband_roformer_instvox_duality_v2.ckpt',
+}
+#=========================#
+#      MDX23C Models      #
+#=========================#
+MDX23C_MODELS = [
+    'MDX23C-8KFFT-InstVoc_HQ.ckpt',
+    'MDX23C-8KFFT-InstVoc_HQ_2.ckpt',
+    'MDX23C_D1581.ckpt',
+]
+#=========================#
+#     MDXN-NET Models     #
+#=========================#
+MDXNET_MODELS = [
+    'UVR-MDX-NET-Inst_1.onnx',
+    'UVR-MDX-NET-Inst_2.onnx',
+    'UVR-MDX-NET-Inst_3.onnx',
+    'UVR-MDX-NET-Inst_HQ_1.onnx',
+    'UVR-MDX-NET-Inst_HQ_2.onnx',
+    'UVR-MDX-NET-Inst_HQ_3.onnx',
+    'UVR-MDX-NET-Inst_HQ_4.onnx',
+    'UVR-MDX-NET-Inst_HQ_5.onnx',
+    'UVR-MDX-NET_Inst_82_beta.onnx',
+    'UVR-MDX-NET_Inst_90_beta.onnx',
+    'UVR-MDX-NET_Inst_187_beta.onnx',
+    'UVR-MDX-NET-Inst_full_292.onnx',
+    'UVR-MDX-NET_Main_340.onnx',
+    'UVR-MDX-NET_Main_390.onnx',
+    'UVR-MDX-NET_Main_406.onnx',
+    'UVR-MDX-NET_Main_427.onnx',
+    'UVR-MDX-NET_Main_438.onnx',
+    'UVR-MDX-NET-Crowd_HQ_1.onnx',
+    'UVR-MDX-NET-Voc_FT.onnx',
+    'UVR_MDXNET_1_9703.onnx',
+    'UVR_MDXNET_2_9682.onnx',
+    'UVR_MDXNET_3_9662.onnx',
+    'UVR_MDXNET_9482.onnx',
+    'UVR_MDXNET_KARA.onnx',
+    'UVR_MDXNET_KARA_2.onnx',
+    'UVR_MDXNET_Main.onnx',
+    'kuielab_a_bass.onnx',
+    'kuielab_a_drums.onnx',
+    'kuielab_a_other.onnx',
+    'kuielab_a_vocals.onnx',
+    'kuielab_b_bass.onnx',
+    'kuielab_b_drums.onnx',
+    'kuielab_b_other.onnx',
+    'kuielab_b_vocals.onnx',
+    'Kim_Inst.onnx',
+    'Kim_Vocal_1.onnx',
+    'Kim_Vocal_2.onnx',
+    'Reverb_HQ_By_FoxJoy.onnx',
+]
+#========================#
+#     VR-ARCH Models     #
+#========================#
+VR_ARCH_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',
+    'MGM_HIGHEND_v4.pth',
+    'MGM_LOWEND_A_v4.pth',
+    'MGM_LOWEND_B_v4.pth',
+    'MGM_MAIN_v4.pth',
+    'UVR-BVE-4B_SN-44100-1.pth',
+    'UVR-DeEcho-DeReverb.pth',
+    'UVR-De-Echo-Aggressive.pth',
+    'UVR-De-Echo-Normal.pth',
+    'UVR-DeNoise-Lite.pth',
+    'UVR-DeNoise.pth',
+]
+#=======================#
+#     DEMUCS Models     #
+#=======================#
+DEMUCS_MODELS = [
+    'hdemucs_mmi.yaml',
+    'htdemucs.yaml',
+    'htdemucs_6s.yaml',
+    'htdemucs_ft.yaml',
+]
+
+def print_message(input_file, model_name):
+    """Prints information about the audio separation process."""
+    base_name = os.path.splitext(os.path.basename(input_file))[0]
+    print("\n")
+    print("🎵 PolUVR 🎵")
+    print("Input audio:", base_name)
+    print("Separation Model:", model_name)
+    print("Audio Separation Process...")
+
+def prepare_output_dir(input_file, output_dir):
+    """Create a directory for the output files and clean it if it already exists."""
+    base_name = os.path.splitext(os.path.basename(input_file))[0]
+    out_dir = os.path.join(output_dir, base_name)
+    try:
+        if os.path.exists(out_dir):
+            shutil.rmtree(out_dir)
+        os.makedirs(out_dir)
+    except Exception as e:
+        raise RuntimeError(f"Failed to prepare output directory {out_dir}: {e}")
+    return out_dir
+
+def rename_stems(audio, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem):
+    base_name = os.path.splitext(os.path.basename(audio))[0]
+    stems = {
+        "Vocals": vocals_stem.replace("{base_name}", base_name),
+        "Instrumental": instrumental_stem.replace("{base_name}", base_name),
+        "Drums": drums_stem.replace("{base_name}", base_name),
+        "Bass": bass_stem.replace("{base_name}", base_name),
+        "Other": other_stem.replace("{base_name}", base_name),
+        "Guitar": guitar_stem.replace("{base_name}", base_name),
+        "Piano": piano_stem.replace("{base_name}", base_name),
+    }
+    return stems
+
+def roformer_separator(audio, model_key, seg_size, override_seg_size, overlap, pitch_shift, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem, progress=gr.Progress(track_tqdm=True)):
+    """Separate audio using Roformer model."""
+    stemname = rename_stems(audio, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem)
+    print_message(audio, model_key)
+    model = ROFORMER_MODELS[model_key]
+    try:
+        out_dir = prepare_output_dir(audio, out_dir)
+        separator = Separator(
+            log_level=logging.WARNING,
+            model_file_dir=model_dir,
+            output_dir=out_dir,
+            output_format=out_format,
+            normalization_threshold=norm_thresh,
+            amplification_threshold=amp_thresh,
+            use_autocast=use_autocast,
+            mdxc_params={
+                "segment_size": seg_size,
+                "override_model_segment_size": override_seg_size,
+                "batch_size": batch_size,
+                "overlap": overlap,
+                "pitch_shift": pitch_shift,
+            }
+        )
+
+        progress(0.2, desc="Model loaded...")
+        separator.load_model(model_filename=model)
+
+        progress(0.7, desc="Audio separated...")
+        separation = separator.separate(audio, stemname)
+        print(f"Separation complete!\nResults: {', '.join(separation)}")
+
+        stems = [os.path.join(out_dir, file_name) for file_name in separation]
+        return stems[0], stems[1]
+    except Exception as e:
+        raise RuntimeError(f"Roformer separation failed: {e}") from e
+
+def mdx23c_separator(audio, model, seg_size, override_seg_size, overlap, pitch_shift, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem, progress=gr.Progress(track_tqdm=True)):
+    """Separate audio using MDX23C model."""
+    stemname = rename_stems(audio, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem)
+    print_message(audio, model)
+    try:
+        out_dir = prepare_output_dir(audio, out_dir)
+        separator = Separator(
+            log_level=logging.WARNING,
+            model_file_dir=model_dir,
+            output_dir=out_dir,
+            output_format=out_format,
+            normalization_threshold=norm_thresh,
+            amplification_threshold=amp_thresh,
+            use_autocast=use_autocast,
+            mdxc_params={
+                "segment_size": seg_size,
+                "override_model_segment_size": override_seg_size,
+                "batch_size": batch_size,
+                "overlap": overlap,
+                "pitch_shift": pitch_shift,
+            }
+        )
+
+        progress(0.2, desc="Model loaded...")
+        separator.load_model(model_filename=model)
+
+        progress(0.7, desc="Audio separated...")
+        separation = separator.separate(audio, stemname)
+        print(f"Separation complete!\nResults: {', '.join(separation)}")
+
+        stems = [os.path.join(out_dir, file_name) for file_name in separation]
+        return stems[0], stems[1]
+    except Exception as e:
+        raise RuntimeError(f"MDX23C separation failed: {e}") from e
+
+def mdx_separator(audio, model, hop_length, seg_size, overlap, denoise, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem, progress=gr.Progress(track_tqdm=True)):
+    """Separate audio using MDX-NET model."""
+    stemname = rename_stems(audio, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem)
+    print_message(audio, model)
+    try:
+        out_dir = prepare_output_dir(audio, out_dir)
+        separator = Separator(
+            log_level=logging.WARNING,
+            model_file_dir=model_dir,
+            output_dir=out_dir,
+            output_format=out_format,
+            normalization_threshold=norm_thresh,
+            amplification_threshold=amp_thresh,
+            use_autocast=use_autocast,
+            mdx_params={
+                "hop_length": hop_length,
+                "segment_size": seg_size,
+                "overlap": overlap,
+                "batch_size": batch_size,
+                "enable_denoise": denoise,
+            }
+        )
+
+        progress(0.2, desc="Model loaded...")
+        separator.load_model(model_filename=model)
+
+        progress(0.7, desc="Audio separated...")
+        separation = separator.separate(audio, stemname)
+        print(f"Separation complete!\nResults: {', '.join(separation)}")
+
+        stems = [os.path.join(out_dir, file_name) for file_name in separation]
+        return stems[0], stems[1]
+    except Exception as e:
+        raise RuntimeError(f"MDX-NET separation failed: {e}") from e
+
+def vr_separator(audio, model, window_size, aggression, tta, post_process, post_process_threshold, high_end_process, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem, progress=gr.Progress(track_tqdm=True)):
+    """Separate audio using VR ARCH model."""
+    stemname = rename_stems(audio, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem)
+    print_message(audio, model)
+    try:
+        out_dir = prepare_output_dir(audio, out_dir)
+        separator = Separator(
+            log_level=logging.WARNING,
+            model_file_dir=model_dir,
+            output_dir=out_dir,
+            output_format=out_format,
+            normalization_threshold=norm_thresh,
+            amplification_threshold=amp_thresh,
+            use_autocast=use_autocast,
+            vr_params={
+                "batch_size": batch_size,
+                "window_size": window_size,
+                "aggression": aggression,
+                "enable_tta": tta,
+                "enable_post_process": post_process,
+                "post_process_threshold": post_process_threshold,
+                "high_end_process": high_end_process,
+            }
+        )
+
+        progress(0.2, desc="Model loaded...")
+        separator.load_model(model_filename=model)
+
+        progress(0.7, desc="Audio separated...")
+        separation = separator.separate(audio, stemname)
+        print(f"Separation complete!\nResults: {', '.join(separation)}")
+
+        stems = [os.path.join(out_dir, file_name) for file_name in separation]
+        return stems[0], stems[1]
+    except Exception as e:
+        raise RuntimeError(f"VR ARCH separation failed: {e}") from e
+
+def demucs_separator(audio, model, seg_size, shifts, overlap, segments_enabled, model_dir, out_dir, out_format, norm_thresh, amp_thresh, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem, progress=gr.Progress(track_tqdm=True)):
+    """Separate audio using Demucs model."""
+    stemname = rename_stems(audio, vocals_stem, instrumental_stem, other_stem, drums_stem, bass_stem, guitar_stem, piano_stem)
+    print_message(audio, model)
+    try:
+        out_dir = prepare_output_dir(audio, out_dir)
+        separator = Separator(
+            log_level=logging.WARNING,
+            model_file_dir=model_dir,
+            output_dir=out_dir,
+            output_format=out_format,
+            normalization_threshold=norm_thresh,
+            amplification_threshold=amp_thresh,
+            use_autocast=use_autocast,
+            demucs_params={
+                "segment_size": seg_size,
+                "shifts": shifts,
+                "overlap": overlap,
+                "segments_enabled": segments_enabled,
+            }
+        )
+
+        progress(0.2, desc="Model loaded...")
+        separator.load_model(model_filename=model)
+
+        progress(0.7, desc="Audio separated...")
+        separation = separator.separate(audio, stemname)
+        print(f"Separation complete!\nResults: {', '.join(separation)}")
+
+        stems = [os.path.join(out_dir, file_name) for file_name in separation]
+        
+        if model == "htdemucs_6s.yaml":
+            return stems[0], stems[1], stems[2], stems[3], stems[4], stems[5]
+        else:
+            return stems[0], stems[1], stems[2], stems[3], None, None
+    except Exception as e:
+        raise RuntimeError(f"Demucs separation failed: {e}") from e
+
+def update_stems(model):
+    if model == "htdemucs_6s.yaml":
+        return gr.update(visible=True)
+    else:
+        return gr.update(visible=False)
+
+with gr.Blocks(
+    title="🎵 PolUVR 🎵",
+    css="footer{display:none !important}",
+    theme=gr.themes.Default(
+        spacing_size="sm",
+        radius_size="lg",
+    )
+) as app:
+    gr.HTML("<h1> 🎵 PolUVR 🎵 </h1>")
+
+    with gr.Tab("Roformer"):
+        with gr.Group():
+            with gr.Row():
+                roformer_model = gr.Dropdown(label="Select the Model", choices=list(ROFORMER_MODELS.keys()))
+            with gr.Row():
+                roformer_seg_size = gr.Slider(minimum=32, maximum=4000, step=32, value=256, label="Segment Size", info="Larger consumes more resources, but may give better results.")
+                roformer_override_seg_size = gr.Checkbox(value=False, label="Override segment size", info="Override model default segment size instead of using the model default value.")
+                roformer_overlap = gr.Slider(minimum=2, maximum=10, step=1, value=8, label="Overlap", info="Amount of overlap between prediction windows. Lower is better but slower.")
+                roformer_pitch_shift = gr.Slider(minimum=-12, maximum=12, step=1, value=0, label="Pitch shift", info="Shift audio pitch by a number of semitones while processing. may improve output for deep/high vocals.")
+        with gr.Row():
+            roformer_audio = gr.Audio(label="Input Audio", type="filepath")
+        with gr.Row():
+            roformer_button = gr.Button("Separate!", variant="primary")
+        with gr.Row():
+            roformer_stem1 = gr.Audio(label="Stem 1", type="filepath", interactive=False)
+            roformer_stem2 = gr.Audio(label="Stem 2", type="filepath", interactive=False)
+
+    with gr.Tab("MDX23C"):
+        with gr.Group():
+            with gr.Row():
+                mdx23c_model = gr.Dropdown(label="Select the Model", choices=MDX23C_MODELS)
+            with gr.Row():
+                mdx23c_seg_size = gr.Slider(minimum=32, maximum=4000, step=32, value=256, label="Segment Size", info="Larger consumes more resources, but may give better results.")
+                mdx23c_override_seg_size = gr.Checkbox(value=False, label="Override segment size", info="Override model default segment size instead of using the model default value.")
+                mdx23c_overlap = gr.Slider(minimum=2, maximum=50, step=1, value=8, label="Overlap", info="Amount of overlap between prediction windows. Higher is better but slower.")
+                mdx23c_pitch_shift = gr.Slider(minimum=-12, maximum=12, step=1, value=0, label="Pitch shift", info="Shift audio pitch by a number of semitones while processing. may improve output for deep/high vocals.")
+        with gr.Row():
+            mdx23c_audio = gr.Audio(label="Input Audio", type="filepath")
+        with gr.Row():
+            mdx23c_button = gr.Button("Separate!", variant="primary")
+        with gr.Row():
+            mdx23c_stem1 = gr.Audio(label="Stem 1", type="filepath", interactive=False)
+            mdx23c_stem2 = gr.Audio(label="Stem 2", type="filepath", interactive=False)
+
+    with gr.Tab("MDX-NET"):
+        with gr.Group():
+            with gr.Row():
+                mdx_model = gr.Dropdown(label="Select the Model", choices=MDXNET_MODELS)
+            with gr.Row():
+                mdx_hop_length = gr.Slider(minimum=32, maximum=2048, step=32, value=1024, label="Hop Length", info="Usually called stride in neural networks; only change if you know what you're doing.")
+                mdx_seg_size = gr.Slider(minimum=32, maximum=4000, step=32, value=256, label="Segment Size", info="Larger consumes more resources, but may give better results.")
+                mdx_overlap = gr.Slider(minimum=0.001, maximum=0.999, step=0.001, value=0.25, label="Overlap", info="Amount of overlap between prediction windows. Higher is better but slower.")
+                mdx_denoise = gr.Checkbox(value=False, label="Denoise", info="Enable denoising after separation.")
+        with gr.Row():
+            mdx_audio = gr.Audio(label="Input Audio", type="filepath")
+        with gr.Row():
+            mdx_button = gr.Button("Separate!", variant="primary")
+        with gr.Row():
+            mdx_stem1 = gr.Audio(label="Stem 1", type="filepath", interactive=False)
+            mdx_stem2 = gr.Audio(label="Stem 2", type="filepath", interactive=False)
+
+    with gr.Tab("VR ARCH"):
+        with gr.Group():
+            with gr.Row():
+                vr_model = gr.Dropdown(label="Select the Model", choices=VR_ARCH_MODELS)
+            with gr.Row():
+                vr_window_size = gr.Slider(minimum=320, maximum=1024, step=32, value=512, label="Window Size", info="Balance quality and speed. 1024 = fast but lower, 320 = slower but better quality.")
+                vr_aggression = gr.Slider(minimum=1, maximum=50, step=1, value=5, label="Agression", info="Intensity of primary stem extraction.")
+                vr_tta = gr.Checkbox(value=False, label="TTA", info="Enable Test-Time-Augmentation; slow but improves quality.")
+                vr_post_process = gr.Checkbox(value=False, label="Post Process", info="Identify leftover artifacts within vocal output; may improve separation for some songs.")
+                vr_post_process_threshold = gr.Slider(minimum=0.1, maximum=0.3, step=0.1, value=0.2, label="Post Process Threshold", info="Threshold for post-processing.")
+                vr_high_end_process = gr.Checkbox(value=False, label="High End Process", info="Mirror the missing frequency range of the output.")
+        with gr.Row():
+            vr_audio = gr.Audio(label="Input Audio", type="filepath")
+        with gr.Row():
+            vr_button = gr.Button("Separate!", variant="primary")
+        with gr.Row():
+            vr_stem1 = gr.Audio(label="Stem 1", type="filepath", interactive=False)
+            vr_stem2 = gr.Audio(label="Stem 2", type="filepath", interactive=False)
+
+    with gr.Tab("Demucs"):
+        with gr.Group():
+            with gr.Row():
+                demucs_model = gr.Dropdown(label="Select the Model", choices=DEMUCS_MODELS)
+            with gr.Row():
+                demucs_seg_size = gr.Slider(minimum=1, maximum=100, step=1, value=40, label="Segment Size", info="Size of segments into which the audio is split. Higher = slower but better quality.")
+                demucs_shifts = gr.Slider(minimum=0, maximum=20, step=1, value=2, label="Shifts", info="Number of predictions with random shifts, higher = slower but better quality.")
+                demucs_overlap = gr.Slider(minimum=0.001, maximum=0.999, step=0.001, value=0.25, label="Overlap", info="Overlap between prediction windows. Higher = slower but better quality.")
+                demucs_segments_enabled = gr.Checkbox(value=True, label="Segment-wise processing", info="Enable segment-wise processing.")
+        with gr.Row():
+            demucs_audio = gr.Audio(label="Input Audio", type="filepath")
+        with gr.Row():
+            demucs_button = gr.Button("Separate!", variant="primary")
+        with gr.Row():
+            demucs_stem1 = gr.Audio(label="Stem 1", type="filepath", interactive=False)
+            demucs_stem2 = gr.Audio(label="Stem 2", type="filepath", interactive=False)
+        with gr.Row():
+            demucs_stem3 = gr.Audio(label="Stem 3", type="filepath", interactive=False)
+            demucs_stem4 = gr.Audio(label="Stem 4", type="filepath", interactive=False)
+        with gr.Row(visible=False) as stem6:
+            demucs_stem5 = gr.Audio(label="Stem 5", type="filepath", interactive=False)
+            demucs_stem6 = gr.Audio(label="Stem 6", type="filepath", interactive=False)
+
+    with gr.Tab("Settings"):
+        with gr.Accordion("General settings", open=False):
+          with gr.Group():
+              model_file_dir = gr.Textbox(value="/tmp/PolUVR-models/", label="Directory to cache model files", info="The directory where model files are stored.", placeholder="/tmp/PolUVR-models/")
+              with gr.Row():
+                  output_dir = gr.Textbox(value="output", label="File output directory", info="The directory where output files will be saved.", placeholder="output")
+                  output_format = gr.Dropdown(value="wav", choices=["wav", "flac", "mp3"], label="Output Format", info="The format of the output audio file.")
+              with gr.Row():
+                  norm_threshold = gr.Slider(minimum=0.1, maximum=1, step=0.1, value=0.9, label="Normalization threshold", info="The threshold for audio normalization.")
+                  amp_threshold = gr.Slider(minimum=0.0, maximum=1, step=0.1, value=0.0, label="Amplification threshold", info="The threshold for audio amplification.")
+              with gr.Row():
+                  batch_size = gr.Slider(minimum=1, maximum=16, step=1, value=1, label="Batch Size", info="Larger consumes more RAM but may process slightly faster.")
+
+        with gr.Accordion("Rename Stems", open=False):
+            gr.HTML("<h3> `{base_name}` - input file name </h3>")
+            with gr.Row():
+                vocals_stem = gr.Textbox(value="{base_name}_(Vocals)", label="Vocals Stem", placeholder="{base_name}_(Vocals)")
+                instrumental_stem = gr.Textbox(value="{base_name}_(Instrumental)", label="Instrumental Stem", placeholder="{base_name}_(Instrumental)")
+                other_stem = gr.Textbox(value="{base_name}_(Other)", label="Other Stem", placeholder="{base_name}_(Other)")
+            with gr.Row():
+                drums_stem = gr.Textbox(value="{base_name}_(Drums)", label="Drums Stem", placeholder="{base_name}_(Drums)")
+                bass_stem = gr.Textbox(value="{base_name}_(Bass)", label="Bass Stem", placeholder="{base_name}_(Bass)")
+            with gr.Row():
+                guitar_stem = gr.Textbox(value="{base_name}_(Guitar)", label="Guitar Stem", placeholder="{base_name}_(Guitar)")
+                piano_stem = gr.Textbox(value="{base_name}_(Piano)", label="Piano Stem", placeholder="{base_name}_(Piano)")
+
+    demucs_model.change(update_stems, inputs=[demucs_model], outputs=stem6)
+
+    roformer_button.click(
+        roformer_separator,
+        inputs=[
+            roformer_audio,
+            roformer_model,
+            roformer_seg_size,
+            roformer_override_seg_size,
+            roformer_overlap,
+            roformer_pitch_shift,
+            model_file_dir,
+            output_dir,
+            output_format,
+            norm_threshold,
+            amp_threshold,
+            batch_size,
+            vocals_stem,
+            instrumental_stem,
+            other_stem,
+            drums_stem,
+            bass_stem,
+            guitar_stem,
+            piano_stem,
+        ],
+        outputs=[roformer_stem1, roformer_stem2],
+    )
+    mdx23c_button.click(
+        mdx23c_separator,
+        inputs=[
+            mdx23c_audio,
+            mdx23c_model,
+            mdx23c_seg_size,
+            mdx23c_override_seg_size,
+            mdx23c_overlap,
+            mdx23c_pitch_shift,
+            model_file_dir,
+            output_dir,
+            output_format,
+            norm_threshold,
+            amp_threshold,
+            batch_size,
+            vocals_stem,
+            instrumental_stem,
+            other_stem,
+            drums_stem,
+            bass_stem,
+            guitar_stem,
+            piano_stem,
+        ],
+        outputs=[mdx23c_stem1, mdx23c_stem2],
+    )
+    mdx_button.click(
+        mdx_separator,
+        inputs=[
+            mdx_audio,
+            mdx_model,
+            mdx_hop_length,
+            mdx_seg_size,
+            mdx_overlap,
+            mdx_denoise,
+            model_file_dir,
+            output_dir,
+            output_format,
+            norm_threshold,
+            amp_threshold,
+            batch_size,
+            vocals_stem,
+            instrumental_stem,
+            other_stem,
+            drums_stem,
+            bass_stem,
+            guitar_stem,
+            piano_stem,
+        ],
+        outputs=[mdx_stem1, mdx_stem2],
+    )
+    vr_button.click(
+        vr_separator,
+        inputs=[
+            vr_audio,
+            vr_model,
+            vr_window_size,
+            vr_aggression,
+            vr_tta,
+            vr_post_process,
+            vr_post_process_threshold,
+            vr_high_end_process,
+            model_file_dir,
+            output_dir,
+            output_format,
+            norm_threshold,
+            amp_threshold,
+            batch_size,
+            vocals_stem,
+            instrumental_stem,
+            other_stem,
+            drums_stem,
+            bass_stem,
+            guitar_stem,
+            piano_stem,
+        ],
+        outputs=[vr_stem1, vr_stem2],
+    )
+    demucs_button.click(
+        demucs_separator,
+        inputs=[
+            demucs_audio,
+            demucs_model,
+            demucs_seg_size,
+            demucs_shifts,
+            demucs_overlap,
+            demucs_segments_enabled,
+            model_file_dir,
+            output_dir,
+            output_format,
+            norm_threshold,
+            amp_threshold,
+            vocals_stem,
+            instrumental_stem,
+            other_stem,
+            drums_stem,
+            bass_stem,
+            guitar_stem,
+            piano_stem,
+        ],
+        outputs=[demucs_stem1, demucs_stem2, demucs_stem3, demucs_stem4, demucs_stem5, demucs_stem6],
+    )
+
+def main():
+    app.launch(share=True)
+
+if __name__ == "__main__":
+    main()