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Update app.py
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app.py
CHANGED
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@@ -326,9 +326,14 @@ button:hover {
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}
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"""
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ydl_opts = {
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'format': 'bestaudio[ext=webm]/bestaudio[ext=m4a]/bestaudio[ext=opus]/bestaudio[ext=aac]/bestaudio -video',
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'postprocessors': [{
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'key': 'FFmpegExtractAudio',
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'preferredcodec': 'wav',
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@@ -347,29 +352,43 @@ def download_audio(url, cookie_file):
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'verbose': True,
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}
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try:
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for ext in ['.webm', '.m4a', '.opus', '.aac']:
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file_path = file_path.replace(ext, '.wav')
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if not os.path.exists(file_path):
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return None, "Downloaded file not found", None
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sample_rate, data = scipy.io.wavfile.read(file_path)
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audio_data = (sample_rate, data)
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return
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except yt_dlp.utils.ExtractorError as e:
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if "Sign in to confirm you’re not a bot" in str(e) or "The provided YouTube account cookies are no longer valid" in str(e):
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return None, "Authentication failed. Please upload updated cookies from a logged-in browser session in the respective tab. See https://github.com/yt-dlp/yt-dlp/wiki/Extractors#exporting-youtube-cookies for instructions.", None
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elif "HTTP Error 403: Forbidden" in str(e):
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return None, "Download failed: HTTP Error 403. This format requires a GVS PO Token, or the cookies are invalid. Please upload fresh cookies. See https://github.com/yt-dlp/yt-dlp/wiki/PO-Token-Guide for advanced troubleshooting.", None
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return None, f"Download failed: {str(e)}", None
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except Exception as e:
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return None, f"
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@spaces.GPU
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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)):
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"""Separate audio into stems using a Roformer model."""
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}
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"""
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import os
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import yt_dlp
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from googledrivedownloader import GoogleDriveDownloader
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from scipy.io import wavfile
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def download_audio(url, cookie_file=None):
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ydl_opts = {
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'format': 'bestaudio[ext=webm]/bestaudio[ext=m4a]/bestaudio[ext=opus]/bestaudio[ext=aac]/bestaudio -video',
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'postprocessors': [{
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'key': 'FFmpegExtractAudio',
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'preferredcodec': 'wav',
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'verbose': True,
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}
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# Check if it's a Google Drive link
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if 'drive.google.com' in url or 'https://drive.google.com' in url:
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try:
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file_id = url.split('/d/')[1].split('/')[0] # Extract file ID
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output_path = 'ytdl/gdrive_audio.wav'
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GoogleDriveDownloader.download_file_from_google_drive(file_id=file_id, dest_path=output_path, unzip=False)
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if not os.path.exists(output_path):
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return None, "Downloaded file not found", None
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sample_rate, data = wavfile.read(output_path)
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audio_data = (sample_rate, data)
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return output_path, "Download successful", audio_data
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except Exception as e:
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return None, f"Google Drive download failed: {str(e)}", None
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# Handle YouTube link
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else:
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with yt_dlp.YoutubeDL(ydl_opts) as ydl:
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try:
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info_dict = ydl.extract_info(url, download=True)
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base_file_path = ydl.prepare_filename(info_dict)
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file_path = base_file_path
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for ext in ['.webm', '.m4a', '.opus', '.aac']:
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file_path = file_path.replace(ext, '.wav')
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if not os.path.exists(file_path):
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return None, "Downloaded file not found", None
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sample_rate, data = wavfile.read(file_path)
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audio_data = (sample_rate, data)
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return file_path, "Download successful", audio_data
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except yt_dlp.utils.ExtractorError as e:
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if "Sign in to confirm you’re not a bot" in str(e) or "The provided YouTube account cookies are no longer valid" in str(e):
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return None, "Authentication failed. Please upload updated cookies from a logged-in browser session in the respective tab. See https://github.com/yt-dlp/yt-dlp/wiki/Extractors#exporting-youtube-cookies for instructions.", None
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elif "HTTP Error 403: Forbidden" in str(e):
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return None, "Download failed: HTTP Error 403. This format requires a GVS PO Token, or the cookies are invalid. Please upload fresh cookies. See https://github.com/yt-dlp/yt-dlp/wiki/PO-Token-Guide for advanced troubleshooting.", None
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return None, f"Download failed: {str(e)}", None
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except Exception as e:
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return None, f"Unexpected error: {str(e)}", None
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@spaces.GPU
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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)):
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"""Separate audio into stems using a Roformer model."""
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