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import subprocess |
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from yt_dlp import YoutubeDL |
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import pandas as pd |
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import os |
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import platform |
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from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip |
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df = pd.read_csv('./links.csv') |
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def ensure_hhmmss_format(t): |
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parts = t.split(':') |
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if len(parts) == 2: |
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return f"00:{t}" |
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return t |
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def create_dir(string): |
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try: |
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os.makedirs(string) |
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except Exception as e: |
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... |
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def trim_audio(input_file, start_time, end_time, output_file): |
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try: |
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ffmpeg_extract_subclip(input_file, float(start_time), float(end_time), targetname=output_file) |
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except Exception as e: |
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print(f"moviepy error: {e}") |
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print("Falling back to direct ffmpeg call") |
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current_platform = platform.system() |
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ffmpeg_cmd = 'ffmpeg' |
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if current_platform == 'Windows': |
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ffmpeg_cmd = 'ffmpeg.exe' |
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command = [ |
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ffmpeg_cmd, |
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'-y', |
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'-i', input_file, |
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'-ss', str(start_time), |
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'-to', str(end_time), |
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'-c', 'copy', |
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output_file |
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] |
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subprocess.run(command, check=True) |
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def download_audio(youtube_url, output_file): |
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ydl_opts = { |
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'format': 'bestaudio/best', |
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'postprocessors': [{ |
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'key': 'FFmpegExtractAudio', |
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'preferredcodec': 'mp3', |
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'preferredquality': '192', |
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}], |
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'outtmpl': output_file, |
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} |
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with YoutubeDL(ydl_opts) as ydl: |
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ydl.download([youtube_url]) |
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for k,v in df.T.to_dict().items(): |
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lst = v['timestamps'].replace("(",'').replace(')','').split(',') |
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start,end = lst |
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start = ensure_hhmmss_format(start) |
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end = ensure_hhmmss_format(end) |
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unique_name = k |
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uid = v['id'] |
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category = v['category'] |
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create_dir(f"{category}/{uid}") |
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download_audio(v['url'],f"{category}/{uid}/{unique_name}") |
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trim_audio(f"{category}/{uid}/{unique_name}.mp3", start, end, f"{category}/{uid}/{unique_name}_{v['name'.replace(' ','_')]}_voices.mp3") |
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for root, dirs, files in os.walk(os.getcwd()): |
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for file in files: |
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file_path = os.path.join(root, file) |
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if "voices.mp3" not in file_path and file_path.endswith(".mp3"): |
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os.remove(file_path) |
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