Update gui.py

gui.py

@@ -1,582 +1,17 @@
-import os
-import sys
-import torch
-import logging
-from yt_dlp import YoutubeDL
 import gradio as gr
 import argparse
-from audio_separator.separator import Separator
-import numpy as np
-import librosa
-import soundfile as sf
-from ensemble import ensemble_files
-import shutil
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
-use_autocast = device == "cuda"
+parser = argparse.ArgumentParser()
+parser.add_argument("--port", type=int, default=7860)
+args = parser.parse_args()
 
-# Logging ayarları
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
+# Define your Gradio Blocks or Interface
+app = gr.Blocks()
+with app:
+    gr.Markdown("Hello, World!")
+    input_text = gr.Textbox()
+    output_text = gr.Textbox()
+    gr.Button("Submit").click(fn=lambda x: x.upper(), inputs=input_text, outputs=output_text)
 
-# Model dictionaries organized by category
-ROFORMER_MODELS = {
-    "Vocals": {
-        'MelBand Roformer | Big Beta 6X by unwa': 'melband_roformer_big_beta6x.ckpt',
-        'MelBand Roformer Kim | Big Beta 4 FT by unwa': 'melband_roformer_big_beta4.ckpt',
-        'MelBand Roformer Kim | Big Beta 5e FT by unwa': 'melband_roformer_big_beta5e.ckpt',
-        'MelBand Roformer | Big Beta 6 by unwa': 'melband_roformer_big_beta6.ckpt',
-        'MelBand Roformer | Vocals by Kimberley Jensen': 'vocals_mel_band_roformer.ckpt',
-        'MelBand Roformer Kim | FT 3 by unwa': 'mel_band_roformer_kim_ft3_unwa.ckpt',
-        'MelBand Roformer Kim | FT by unwa': 'mel_band_roformer_kim_ft_unwa.ckpt',
-        'MelBand Roformer Kim | FT 2 by unwa': 'mel_band_roformer_kim_ft2_unwa.ckpt',
-        'MelBand Roformer Kim | FT 2 Bleedless by unwa': 'mel_band_roformer_kim_ft2_bleedless_unwa.ckpt',
-        'MelBand Roformer | Vocals by becruily': 'mel_band_roformer_vocals_becruily.ckpt',
-        'MelBand Roformer | Vocals Fullness by Aname': 'mel_band_roformer_vocal_fullness_aname.ckpt',
-        'BS Roformer | Vocals by Gabox': 'bs_roformer_vocals_gabox.ckpt',
-        'MelBand Roformer | Vocals by Gabox': 'mel_band_roformer_vocals_gabox.ckpt',
-        'MelBand Roformer | Vocals FV1 by Gabox': 'mel_band_roformer_vocals_fv1_gabox.ckpt',
-        'MelBand Roformer | Vocals FV2 by Gabox': 'mel_band_roformer_vocals_fv2_gabox.ckpt',
-        'MelBand Roformer | Vocals FV3 by Gabox': 'mel_band_roformer_vocals_fv3_gabox.ckpt',
-        'MelBand Roformer | Vocals FV4 by Gabox': 'mel_band_roformer_vocals_fv4_gabox.ckpt',
-        'BS Roformer | Chorus Male-Female by Sucial': 'model_chorus_bs_roformer_ep_267_sdr_24.1275.ckpt',
-        'BS Roformer | Male-Female by aufr33': 'bs_roformer_male_female_by_aufr33_sdr_7.2889.ckpt',
-    },
-    "Instrumentals": {
-        'MelBand Roformer | FVX by Gabox': 'mel_band_roformer_instrumental_fvx_gabox.ckpt',
-        'MelBand Roformer | INSTV8N by Gabox': 'mel_band_roformer_instrumental_instv8n_gabox.ckpt',
-        'MelBand Roformer | INSTV8 by Gabox': 'mel_band_roformer_instrumental_instv8_gabox.ckpt',
-        'MelBand Roformer | INSTV7N by Gabox': 'mel_band_roformer_instrumental_instv7n_gabox.ckpt',
-        'MelBand Roformer | Instrumental Bleedless V3 by Gabox': 'mel_band_roformer_instrumental_bleedless_v3_gabox.ckpt',
-        'MelBand Roformer Kim | Inst V1 (E) Plus by Unwa': 'melband_roformer_inst_v1e_plus.ckpt',
-        'MelBand Roformer Kim | Inst V1 Plus by Unwa': 'melband_roformer_inst_v1_plus.ckpt',
-        'MelBand Roformer Kim | Inst V1 by Unwa': 'melband_roformer_inst_v1.ckpt',
-        'MelBand Roformer Kim | Inst V1 (E) by Unwa': 'melband_roformer_inst_v1e.ckpt',
-        'MelBand Roformer Kim | Inst V2 by Unwa': 'melband_roformer_inst_v2.ckpt',
-        'MelBand Roformer | Instrumental by becruily': 'mel_band_roformer_instrumental_becruily.ckpt',
-        'MelBand Roformer | Instrumental by Gabox': 'mel_band_roformer_instrumental_gabox.ckpt',
-        'MelBand Roformer | Instrumental 2 by Gabox': 'mel_band_roformer_instrumental_2_gabox.ckpt',
-        'MelBand Roformer | Instrumental 3 by Gabox': 'mel_band_roformer_instrumental_3_gabox.ckpt',
-        'MelBand Roformer | Instrumental Bleedless V1 by Gabox': 'mel_band_roformer_instrumental_bleedless_v1_gabox.ckpt',
-        'MelBand Roformer | Instrumental Bleedless V2 by Gabox': 'mel_band_roformer_instrumental_bleedless_v2_gabox.ckpt',
-        'MelBand Roformer | Instrumental Fullness V1 by Gabox': 'mel_band_roformer_instrumental_fullness_v1_gabox.ckpt',
-        'MelBand Roformer | Instrumental Fullness V2 by Gabox': 'mel_band_roformer_instrumental_fullness_v2_gabox.ckpt',
-        'MelBand Roformer | Instrumental Fullness V3 by Gabox': 'mel_band_roformer_instrumental_fullness_v3_gabox.ckpt',
-        'MelBand Roformer | Instrumental Fullness Noisy V4 by Gabox': 'mel_band_roformer_instrumental_fullness_noise_v4_gabox.ckpt',
-        'MelBand Roformer | INSTV5 by Gabox': 'mel_band_roformer_instrumental_instv5_gabox.ckpt',
-        'MelBand Roformer | INSTV5N by Gabox': 'mel_band_roformer_instrumental_instv5n_gabox.ckpt',
-        'MelBand Roformer | INSTV6 by Gabox': 'mel_band_roformer_instrumental_instv6_gabox.ckpt',
-        'MelBand Roformer | INSTV6N by Gabox': 'mel_band_roformer_instrumental_instv6n_gabox.ckpt',
-        'MelBand Roformer | INSTV7 by Gabox': 'mel_band_roformer_instrumental_instv7_gabox.ckpt',
-    },
-    "InstVoc Duality": {
-        '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',
-    },
-    "De-Reverb": {
-        'BS-Roformer-De-Reverb': 'deverb_bs_roformer_8_384dim_10depth.ckpt',
-        'MelBand Roformer | De-Reverb by anvuew': 'dereverb_mel_band_roformer_anvuew_sdr_19.1729.ckpt',
-        'MelBand Roformer | De-Reverb Less Aggressive by anvuew': 'dereverb_mel_band_roformer_less_aggressive_anvuew_sdr_18.8050.ckpt',
-        'MelBand Roformer | De-Reverb Mono by anvuew': 'dereverb_mel_band_roformer_mono_anvuew.ckpt',
-        'MelBand Roformer | De-Reverb Big by Sucial': 'dereverb_big_mbr_ep_362.ckpt',
-        'MelBand Roformer | De-Reverb Super Big by Sucial': 'dereverb_super_big_mbr_ep_346.ckpt',
-        'MelBand Roformer | De-Reverb-Echo by Sucial': 'dereverb-echo_mel_band_roformer_sdr_10.0169.ckpt',
-        'MelBand Roformer | De-Reverb-Echo V2 by Sucial': 'dereverb-echo_mel_band_roformer_sdr_13.4843_v2.ckpt',
-        'MelBand Roformer | De-Reverb-Echo Fused by Sucial': 'dereverb_echo_mbr_fused.ckpt',
-    },
-    "Denoise": {
-        '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 | Denoise-Debleed by Gabox': 'mel_band_roformer_denoise_debleed_gabox.ckpt',
-        'MelBand Roformer | Bleed Suppressor V1 by unwa-97chris': 'mel_band_roformer_bleed_suppressor_v1.ckpt',
-    },
-    "Karaoke": {
-        'Mel-Roformer-Karaoke-Aufr33-Viperx': 'mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt',
-        'MelBand Roformer | Karaoke by Gabox': 'mel_band_roformer_karaoke_gabox.ckpt',
-        "MelBand Roformer | Karaoke by becruily": 'mel_band_roformer_karaoke_becruily.ckpt',
-    },
-    "General Purpose": {
-        'BS-Roformer-Viperx-1297': 'model_bs_roformer_ep_317_sdr_12.9755.ckpt',
-        'BS-Roformer-Viperx-1296': 'model_bs_roformer_ep_368_sdr_12.9628.ckpt',
-        'BS-Roformer-Viperx-1053': 'model_bs_roformer_ep_937_sdr_10.5309.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',
-        'MelBand Roformer Kim | SYHFT by SYH99999': 'MelBandRoformerSYHFT.ckpt',
-        'MelBand Roformer Kim | SYHFT V2 by SYH99999': 'MelBandRoformerSYHFTV2.ckpt',
-        'MelBand Roformer Kim | SYHFT V2.5 by SYH99999': 'MelBandRoformerSYHFTV2.5.ckpt',
-        'MelBand Roformer Kim | SYHFT V3 by SYH99999': 'MelBandRoformerSYHFTV3Epsilon.ckpt',
-        'MelBand Roformer Kim | Big SYHFT V1 by SYH99999': 'MelBandRoformerBigSYHFTV1.ckpt',
-        'MelBand Roformer | Aspiration by Sucial': 'aspiration_mel_band_roformer_sdr_18.9845.ckpt',
-        'MelBand Roformer | Aspiration Less Aggressive by Sucial': 'aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt',
-    }
-}
-
-OUTPUT_FORMATS = ['wav', 'flac', 'mp3', 'ogg', 'opus', 'm4a', 'aiff', 'ac3']
-
-# CSS (değişmedi, aynı kalıyor)
-CSS = """
-/* Modern ve Etkileşimli Tema */
-#app-container {
-    max-width: 900px;
-    width: 100%;
-    margin: 0 auto;
-    padding: 1rem;
-    box-sizing: border-box;
-    display: flex;
-    flex-direction: column;
-    align-items: center;
-    min-height: 100vh;
-    background: linear-gradient(135deg, #1a0b2e, #2e1a47);
-    position: relative;
-    overflow: hidden;
-}
-body {
-    background: url('/content/logo.jpg') no-repeat center center fixed;
-    background-size: cover;
-    margin: 0;
-    padding: 0;
-    font-family: 'Roboto', sans-serif;
-    color: #e0e0e0;
-    display: flex;
-    justify-content: center;
-}
-body::after {
-    content: '';
-    position: fixed;
-    top: 0;
-    left: 0;
-    width: 100%;
-    height: 100%;
-    background: rgba(26, 11, 46, 0.8);
-    z-index: -1;
-}
-.logo-container {
-    position: fixed;
-    top: 1rem;
-    left: 50%;
-    transform: translateX(-50%);
-    z-index: 2000;
-}
-.logo-img {
-    width: 80px;
-    height: auto;
-    transition: transform 0.3s ease;
-}
-.logo-img:hover {
-    transform: scale(1.1);
-}
-.header-text {
-    text-align: center;
-    padding: 3rem 0 1rem;
-    color: #ff6b6b;
-    font-size: 2rem;
-    font-weight: 800;
-    text-shadow: 0 0 10px rgba(255, 107, 107, 0.7);
-    animation: glow 2s infinite alternate;
-}
-@keyframes glow {
-    0% { text-shadow: 0 0 10px rgba(255, 107, 107, 0.7); }
-    100% { text-shadow: 0 0 20px rgba(255, 107, 107, 1); }
-}
-.dubbing-theme {
-    background: rgba(46, 26, 71, 0.9);
-    border-radius: 12px;
-    padding: 1rem;
-    box-shadow: 0 5px 20px rgba(255, 107, 107, 0.3);
-    width: 100%;
-    transition: transform 0.3s ease;
-}
-.dubbing-theme:hover {
-    transform: translateY(-5px);
-}
-.footer {
-    text-align: center;
-    padding: 0.5rem;
-    color: #ff6b6b;
-    font-size: 12px;
-    position: fixed;
-    bottom: 0;
-    width: 100%;
-    max-width: 900px;
-    background: rgba(26, 11, 46, 0.7);
-    z-index: 1001;
-    left: 50%;
-    transform: translateX(-50%);
-}
-button {
-    background: #ff6b6b !important;
-    border: none !important;
-    color: #fff !important;
-    border-radius: 8px !important;
-    padding: 8px 16px !important;
-    font-size: 1rem !important;
-    font-weight: 600 !important;
-    transition: all 0.3s ease !important;
-    box-shadow: 0 2px 8px rgba(255, 107, 107, 0.4) !important;
-}
-button:hover {
-    transform: scale(1.05) !important;
-    background: #ff8787 !important;
-    box-shadow: 0 4px 12px rgba(255, 107, 107, 0.6) !important;
-}
-.compact-upload.horizontal {
-    display: flex !important;
-    align-items: center !important;
-    gap: 8px !important;
-    max-width: 300px !important;
-    padding: 6px 10px !important;
-    border: 2px dashed #ff6b6b !important;
-    background: rgba(46, 26, 71, 0.7) !important;
-    border-radius: 8px !important;
-    color: #e0e0e0 !important;
-    transition: border-color 0.3s ease !important;
-}
-.compact-upload.horizontal:hover {
-    border-color: #ff8787 !important;
-}
-.compact-upload.horizontal button {
-    padding: 4px 10px !important;
-    font-size: 0.8rem !important;
-}
-.gr-tab {
-    background: rgba(46, 26, 71, 0.7) !important;
-    border-radius: 8px 8px 0 0 !important;
-    padding: 0.5rem 1rem !important;
-    margin: 0 2px !important;
-    color: #e0e0e0 !important;
-    border: 2px solid #ff6b6b !important;
-    font-size: 1rem !important;
-    transition: all 0.3s ease !important;
-}
-.gr-tab-selected {
-    background: #ff6b6b !important;
-    color: #fff !important;
-    border: 2px solid #ff8787 !important;
-    box-shadow: 0 2px 8px rgba(255, 107, 107, 0.5) !important;
-}
-.compact-grid {
-    gap: 0.5rem !important;
-    max-height: 40vh;
-    overflow-y: auto;
-    padding: 1rem;
-    background: rgba(46, 26, 71, 0.7) !important;
-    border-radius: 10px;
-    border: 2px solid #ff6b6b !important;
-    width: 100%;
-}
-.compact-dropdown {
-    padding: 8px 12px !important;
-    border-radius: 8px !important;
-    border: 2px solid #ff6b6b !important;
-    background: rgba(46, 26, 71, 0.7) !important;
-    color: #e0e0e0 !important;
-    width: 100%;
-    font-size: 1rem !important;
-    transition: border-color 0.3s ease !important;
-}
-.compact-dropdown:hover {
-    border-color: #ff8787 !important;
-}
-.gr-slider input[type="range"] {
-    -webkit-appearance: none !important;
-    width: 100% !important;
-    height: 6px !important;
-    background: #ff6b6b !important;
-    border-radius: 3px !important;
-    outline: none !important;
-}
-.gr-slider input[type="range"]::-webkit-slider-thumb {
-    -webkit-appearance: none !important;
-    width: 16px !important;
-    height: 16px !important;
-    background: #fff !important;
-    border: 2px solid #ff6b6b !important;
-    border-radius: 50% !important;
-    cursor: pointer !important;
-    box-shadow: 0 2px 6px rgba(0, 0, 0, 0.2) !important;
-}
-.gr-slider input[type="range"]::-moz-range-thumb {
-    width: 16px !important;
-    height: 16px !important;
-    background: #fff !important;
-    border: 2px solid #ff6b6b !important;
-    border-radius: 50% !important;
-    cursor: pointer !important;
-    box-shadow: 0 2px 6px rgba(0, 0, 0, 0.2) !important;
-}
-@media (max-width: 768px) {
-    #app-container {
-        max-width: 100%;
-        padding: 0.5rem;
-    }
-    .header-text {
-        font-size: 1.5rem;
-        padding: 2rem 0 0.5rem;
-    }
-    .logo-img {
-        width: 60px;
-    }
-    .compact-upload.horizontal {
-        max-width: 100% !important;
-    }
-    .compact-grid {
-        max-height: 30vh;
-    }
-    .footer {
-        max-width: 100%;
-    }
-}
-"""
-
-# Fonksiyonlar
-def download_audio(url, out_dir="ytdl"):
-    if not url:
-        raise ValueError("No URL provided.")
-    
-    # ytdl klasörünü temizle
-    if os.path.exists(out_dir):
-        shutil.rmtree(out_dir)
-    os.makedirs(out_dir, exist_ok=True)
-    
-    ydl_opts = {
-        'format': 'bestaudio/best',
-        'postprocessors': [{'key': 'FFmpegExtractAudio', 'preferredcodec': 'wav', 'preferredquality': '192'}],
-        'outtmpl': os.path.join(out_dir, '%(title)s.%(ext)s'),
-    }
-    try:
-        with YoutubeDL(ydl_opts) as ydl:
-            ydl.download([url])
-            info_dict = ydl.extract_info(url, download=True)
-            return ydl.prepare_filename(info_dict).rsplit('.', 1)[0] + '.wav'
-    except Exception as e:
-        raise RuntimeError(f"Download failed: {e}")
-
-def roformer_separator(audio, model_key, seg_size, override_seg_size, overlap, pitch_shift, model_dir, output_dir, out_format, norm_thresh, amp_thresh, batch_size, exclude_stems="", progress=gr.Progress(track_tqdm=True)):
-    if not audio:
-        raise ValueError("No audio file provided.")
-    
-    # override_seg_size string olarak geliyor, boolean'a çevir
-    override_seg_size = override_seg_size == "True"
-    
-    # output klasörünü temizle
-    if os.path.exists(output_dir):
-        shutil.rmtree(output_dir)
-    os.makedirs(output_dir, exist_ok=True)
-    
-    base_name = os.path.splitext(os.path.basename(audio))[0]
-    for category, models in ROFORMER_MODELS.items():
-        if model_key in models:
-            model = models[model_key]
-            break
-    else:
-        raise ValueError(f"Model '{model_key}' not found.")
-    
-    logger.info(f"Separating {base_name} with {model_key}")
-    try:
-        separator = Separator(
-            log_level=logging.INFO,
-            model_file_dir=model_dir,
-            output_dir=output_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="Loading model...")
-        separator.load_model(model_filename=model)
-        progress(0.7, desc="Separating audio...")
-        separation = separator.separate(audio)
-        stems = [os.path.join(output_dir, file_name) for file_name in separation]
-        
-        # Exclude stems filtresi
-        if exclude_stems.strip():
-            excluded = [s.strip().lower() for s in exclude_stems.split(',')]
-            filtered_stems = [stem for stem in stems if not any(ex in os.path.basename(stem).lower() for ex in excluded)]
-            return filtered_stems[0] if filtered_stems else None, filtered_stems[1] if len(filtered_stems) > 1 else None
-        return stems[0], stems[1] if len(stems) > 1 else None
-    except Exception as e:
-        logger.error(f"Separation failed: {e}")
-        raise RuntimeError(f"Separation failed: {e}")
-
-def auto_ensemble_process(audio, model_keys, seg_size, overlap, out_format, use_tta, model_dir, output_dir, norm_thresh, amp_thresh, batch_size, ensemble_method, exclude_stems="", weights=None, progress=gr.Progress()):
-    if not audio or not model_keys:
-        raise ValueError("Audio or models missing.")
-    
-    # use_tta string olarak geliyor, boolean'a çevir
-    use_tta = use_tta == "True"
-    
-    # output klasörünü temizle
-    if os.path.exists(output_dir):
-        shutil.rmtree(output_dir)
-    os.makedirs(output_dir, exist_ok=True)
-    
-    base_name = os.path.splitext(os.path.basename(audio))[0]
-    logger.info(f"Ensemble for {base_name} with {model_keys}")
-    
-    all_stems = []  # Tüm modellerden kalan stem'ler burada toplanacak
-    total_models = len(model_keys)
-    
-    # Her model için ayrıştırma yap
-    for i, model_key in enumerate(model_keys):
-        for category, models in ROFORMER_MODELS.items():
-            if model_key in models:
-                model = models[model_key]
-                break
-        else:
-            continue
-        
-        separator = Separator(
-            log_level=logging.INFO,
-            model_file_dir=model_dir,
-            output_dir=output_dir,
-            output_format=out_format,
-            normalization_threshold=norm_thresh,
-            amplification_threshold=amp_thresh,
-            use_autocast=use_autocast,
-            mdxc_params={"segment_size": seg_size, "overlap": overlap, "use_tta": use_tta, "batch_size": batch_size}
-        )
-        progress(0.1 + (0.4 / total_models) * i, desc=f"Loading {model_key}")
-        separator.load_model(model_filename=model)
-        progress(0.5 + (0.4 / total_models) * i, desc=f"Separating with {model_key}")
-        separation = separator.separate(audio)
-        stems = [os.path.join(output_dir, file_name) for file_name in separation]
-        
-        # Exclude stems filtresi
-        if exclude_stems.strip():
-            excluded = [s.strip().lower() for s in exclude_stems.split(',')]
-            filtered_stems = [stem for stem in stems if not any(ex in os.path.basename(stem).lower() for ex in excluded)]
-            all_stems.extend(filtered_stems)
-        else:
-            all_stems.extend(stems)  # Eğer exclude_stems yoksa tüm stem'leri al
-    
-    if not all_stems:
-        raise ValueError("No valid stems for ensemble after exclusion.")
-    
-    # Weights kontrolü
-    if weights is None or len(weights) != len(model_keys):
-        weights = [1.0] * len(model_keys)
-    
-    # Tüm kalan stem'leri birleştir
-    output_file = os.path.join(output_dir, f"{base_name}_ensemble_{ensemble_method}.{out_format}")
-    ensemble_args = [
-        "--files", *all_stems,
-        "--type", ensemble_method,
-        "--weights", *[str(w) for w in weights[:len(all_stems)]],  # Stem sayısına göre weights kes
-        "--output", output_file
-    ]
-    progress(0.9, desc="Running ensemble...")
-    ensemble_files(ensemble_args)
-    
-    progress(1.0, desc="Ensemble complete")
-    return output_file, f"Ensemble completed with {ensemble_method}, excluded: {exclude_stems if exclude_stems else 'None'}"
-
-def update_roformer_models(category):
-    return gr.update(choices=list(ROFORMER_MODELS[category].keys()))
-
-def update_ensemble_models(category):
-    return gr.update(choices=list(ROFORMER_MODELS[category].keys()))
-
-# Arayüzü bir fonksiyon olarak tanımla
-def create_interface():
-    with gr.Blocks(title="🎵 SESA Fast Separation 🎵", css=CSS, elem_id="app-container") as app:
-        gr.Markdown("<h1 class='header-text'>🎵 SESA Fast Separation 🎵</h1>")
-        
-        with gr.Tabs():
-            # Settings Sekmesi
-            with gr.Tab("⚙️ Settings"):
-                with gr.Group(elem_classes="dubbing-theme"):
-                    gr.Markdown("### General Settings")
-                    model_file_dir = gr.Textbox(value="/tmp/audio-separator-models/", label="📂 Model Cache", placeholder="Path to model directory", interactive=True)
-                    output_dir = gr.Textbox(value="output", label="📤 Output Directory", placeholder="Where to save results", interactive=True)
-                    output_format = gr.Dropdown(value="wav", choices=OUTPUT_FORMATS, label="🎶 Output Format", interactive=True)
-                    norm_threshold = gr.Slider(0.1, 1, value=0.9, step=0.1, label="🔊 Normalization Threshold", interactive=True)
-                    amp_threshold = gr.Slider(0.1, 1, value=0.3, step=0.1, label="📈 Amplification Threshold", interactive=True)
-                    batch_size = gr.Slider(1, 16, value=4, step=1, label="⚡ Batch Size", interactive=True)
-
-            # Roformer Sekmesi
-            with gr.Tab("🎤 Roformer"):
-                with gr.Group(elem_classes="dubbing-theme"):
-                    gr.Markdown("### Audio Separation")
-                    with gr.Row():
-                        roformer_audio = gr.Audio(label="🎧 Upload Audio", type="filepath", interactive=True)
-                        url_ro = gr.Textbox(label="🔗 Or Paste URL", placeholder="YouTube or audio URL", interactive=True)
-                        download_roformer = gr.Button("⬇️ download", variant="secondary")
-                    roformer_exclude_stems = gr.Textbox(label="🚫 Exclude Stems", placeholder="e.g., vocals, drums (comma-separated)", interactive=True)
-                    with gr.Row():
-                        roformer_category = gr.Dropdown(label="📚 Category", choices=list(ROFORMER_MODELS.keys()), value="General Purpose", interactive=True)
-                        roformer_model = gr.Dropdown(label="🛠️ Model", choices=list(ROFORMER_MODELS["General Purpose"].keys()), interactive=True)
-                    with gr.Row():
-                        roformer_seg_size = gr.Slider(32, 4000, value=256, step=32, label="📏 Segment Size", interactive=True)
-                        roformer_overlap = gr.Slider(2, 10, value=8, step=1, label="🔄 Overlap", interactive=True)
-                    with gr.Row():
-                        roformer_pitch_shift = gr.Slider(-12, 12, value=0, step=1, label="🎵 Pitch Shift", interactive=True)
-                        roformer_override_seg_size = gr.Dropdown(
-                            choices=["True", "False"],
-                            value="False",
-                            label="🔧 Override Segment Size",
-                            interactive=True
-                        )
-                    roformer_button = gr.Button("✂️ Separate Now!", 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)
-
-            # Auto Ensemble Sekmesi
-            with gr.Tab("🎚️ Auto Ensemble"):
-                with gr.Group(elem_classes="dubbing-theme"):
-                    gr.Markdown("### Ensemble Processing")
-                    with gr.Row():
-                        ensemble_audio = gr.Audio(label="🎧 Upload Audio", type="filepath", interactive=True)
-                        url_ensemble = gr.Textbox(label="🔗 Or Paste URL", placeholder="YouTube or audio URL", interactive=True)
-                        download_ensemble = gr.Button("⬇️ download", variant="secondary")
-                    ensemble_exclude_stems = gr.Textbox(label="🚫 Exclude Stems", placeholder="e.g., vocals, drums (comma-separated)", interactive=True)
-                    with gr.Row():
-                        ensemble_category = gr.Dropdown(label="📚 Category", choices=list(ROFORMER_MODELS.keys()), value="Instrumentals", interactive=True)
-                        ensemble_models = gr.Dropdown(label="🛠️ Models", choices=list(ROFORMER_MODELS["Instrumentals"].keys()), multiselect=True, interactive=True)
-                    with gr.Row():
-                        ensemble_seg_size = gr.Slider(32, 4000, value=256, step=32, label="📏 Segment Size", interactive=True)
-                        ensemble_overlap = gr.Slider(2, 10, value=8, step=1, label="🔄 Overlap", interactive=True)
-                        ensemble_use_tta = gr.Dropdown(
-                            choices=["True", "False"],
-                            value="False",
-                            label="🔍 Use TTA",
-                            interactive=True
-                        )
-                    ensemble_method = gr.Dropdown(label="⚙️ Ensemble Method", choices=['avg_wave', 'median_wave', 'max_wave', 'min_wave', 'avg_fft', 'median_fft', 'max_fft', 'min_fft'], value='avg_wave', interactive=True)
-                    ensemble_weights = gr.Textbox(label="⚖️ Weights", placeholder="e.g., 1.0, 1.0 (comma-separated)", interactive=True)
-                    ensemble_button = gr.Button("🎛️ Run Ensemble!", variant="primary")
-                    ensemble_output = gr.Audio(label="🎶 Ensemble Result", type="filepath", interactive=False)
-                    ensemble_status = gr.Textbox(label="📢 Status", interactive=False)
-
-        gr.HTML("<div class='footer'>Powered by Audio-Separator 🌟🎶 | Made with ❤️</div>")
-
-        # Event Handlers
-        roformer_category.change(update_roformer_models, inputs=[roformer_category], outputs=[roformer_model])
-        download_roformer.click(fn=download_audio, inputs=[url_ro], outputs=[roformer_audio])
-        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, roformer_exclude_stems],
-            outputs=[roformer_stem1, roformer_stem2]
-        )
-        ensemble_category.change(update_ensemble_models, inputs=[ensemble_category], outputs=[ensemble_models])
-        download_ensemble.click(fn=download_audio, inputs=[url_ensemble], outputs=[ensemble_audio])
-        ensemble_button.click(
-            lambda *args: auto_ensemble_process(
-                *args[:-1],
-                weights=[float(w.strip()) for w in args[-1].split(',')] if args[-1] else None
-            ),
-            inputs=[ensemble_audio, ensemble_models, ensemble_seg_size, ensemble_overlap, output_format, ensemble_use_tta, model_file_dir, output_dir, norm_threshold, amp_threshold, batch_size, ensemble_method, ensemble_exclude_stems, ensemble_weights],
-            outputs=[ensemble_output, ensemble_status]
-        )
-    
-    return app
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description="Music Source Separation Web UI")
-    parser.add_argument("--port", type=int, default=7860, help="Port to run the UI on")
-    args = parser.parse_args()
-
-    app = create_interface()
-    app.launch(server_name="0.0.0.0", server_port=args.port)
-    app.close()
+# Launch with share=True for remote access or localhost for local testing
+app.launch(server_name="0.0.0.0", server_port=args.port, share=True)  # Or server_name="127.0.0.1" for local