File size: 31,946 Bytes
fb61471 |
1 |
{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"https://huggingface.co/datasets/codeShare/lora-training-data/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1762634251304},{"file_id":"https://huggingface.co/datasets/codeShare/lora-training-data/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1762004412712},{"file_id":"https://huggingface.co/datasets/codeShare/lora-training-data/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1761124521078},{"file_id":"https://huggingface.co/datasets/codeShare/lora-training-data/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1760628088876},{"file_id":"https://huggingface.co/datasets/codeShare/lora-training-data/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1756712618300},{"file_id":"https://huggingface.co/codeShare/JupyterNotebooks/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1747490904984},{"file_id":"https://huggingface.co/codeShare/JupyterNotebooks/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1740037333374},{"file_id":"https://huggingface.co/codeShare/JupyterNotebooks/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1736477078136},{"file_id":"https://huggingface.co/codeShare/JupyterNotebooks/blob/main/YT-playlist-to-mp3.ipynb","timestamp":1725365086834}]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"widgets":{"application/vnd.jupyter.widget-state+json":{"7021240f18e64d2d9ecffb4960655aa6":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_24117c32ef1e43d3a8340e2fea2c032d","IPY_MODEL_b9a062706e394c68a954819052b65efb","IPY_MODEL_7b24c8672ec349a8ac0332082bf45b6d"],"layout":"IPY_MODEL_03437d6c3a9145de82e12c72c78a5dc7"}},"24117c32ef1e43d3a8340e2fea2c032d":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_8b2c6685f32949cea06733e887c0d830","placeholder":"β","style":"IPY_MODEL_a2fa31f7e2bb466c9bbf7ba4e0c435a5","value":"Thumbs:β100%"}},"b9a062706e394c68a954819052b65efb":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_1fd3e789bb2947b3906ff9707f831e92","max":2,"min":0,"orientation":"horizontal","style":"IPY_MODEL_186f380d870c4254b1b41ddf2b036af0","value":2}},"7b24c8672ec349a8ac0332082bf45b6d":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_72a74ddd44604833a5a19686208edb13","placeholder":"β","style":"IPY_MODEL_4d8760ddc11d4fc89f38ddf8c9e1c27b","value":"β2/2β[00:00<00:00,ββ5.18thumb/s]"}},"03437d6c3a9145de82e12c72c78a5dc7":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"8b2c6685f32949cea06733e887c0d830":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"a2fa31f7e2bb466c9bbf7ba4e0c435a5":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"1fd3e789bb2947b3906ff9707f831e92":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"186f380d870c4254b1b41ddf2b036af0":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"72a74ddd44604833a5a19686208edb13":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"4d8760ddc11d4fc89f38ddf8c9e1c27b":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}}}}},"cells":[{"cell_type":"markdown","source":["This Notebook will take a Youtube Playlist and convert all videos to MP3:s , which will be stored on a folder on your Google Drive.\n","\n","β οΈNote: YT did some obfuscation mumbo jumbo yesterday so downloads will run slower than usual until the yt-dlp guys fix it\n","\n","https://github.com/yt-dlp/yt-dlp/issues/14680"],"metadata":{"id":"I64oSgGJxki5"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"KXsmL_npl5Zf"},"outputs":[],"source":["#Initialize\n","import os\n","def my_mkdirs(folder):\n"," if os.path.exists(folder)==False:\n"," os.makedirs(folder)\n","my_mkdirs('/content/tmp/')"]},{"cell_type":"code","source":["#\n","!python3 -m pip install --force-reinstall https://github.com/yt-dlp/yt-dlp/archive/master.tar.gz\n","import yt_dlp as youtube_dl\n"],"metadata":{"id":"CT8O2CJYl-Cb"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#Mount Google Drive\n","from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"id":"vxae5FCml-0A","executionInfo":{"status":"ok","timestamp":1762004364476,"user_tz":-60,"elapsed":15017,"user":{"displayName":"","userId":""}},"outputId":"7da0a205-7a25-413d-fa6c-0271a0f1f4b3","colab":{"base_uri":"https://localhost:8080/"}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["# @markdown download video or playlist as audio file mp3\n","youtube_link = '' # @param {type:'string'}\n","playlist_start = 1\n","## @param {type:'number'}\n","playlist_end = 9999\n","## @param {type:'number'}\n","\n","#Extract all videos in YT playlist mp3 files\n","#Aborting this code is fine if list is latge ( You will keep downloaded mp3:s)\n","%cd /content/drive/MyDrive/Saved from Chrome/\n","for playlist_URL in youtube_link.split(','):\n"," !yt-dlp --extractor-args \"youtube:player_js_version=actual\" --cookies /content/drive/MyDrive/ytcookies.txt --playlist-end {playlist_end} --playlist-start {playlist_start} --extract-audio --audio-format mp3 -o \"%(title)s.%(ext)s\" {playlist_URL}"],"metadata":{"id":"0K9n3HM6l-7x"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n","# @markdown Download video or playlist as highest video quality mp4\n","youtube_link = '' # @param {type:'string'}\n","playlist_start = 1\n","## @param {type:'number'}\n","playlist_end = 9999\n","## @param {type:'number'}\n","\n","#Extract all videos in YT playlist mp3 files\n","#Aborting this code is fine if list is latge ( You will keep downloaded mp3:s)\n","%cd /content/drive/MyDrive/Saved from Chrome/\n","for playlist_URL in youtube_link.split(','):\n"," !yt-dlp --extractor-args \"youtube:player_js_version=actual\" --cookies /content/drive/MyDrive/ytcookies.txt --playlist-end {playlist_end} --playlist-start {playlist_start} --merge-output-format mp4 -f \"bestvideo+bestaudio[ext=m4a]/best\" -o \"%(title)s.%(ext)s\" {playlist_URL}"],"metadata":{"id":"EWZ4sO7NfdA6"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"wTbO9mWbDXNr"},"outputs":[],"source":["\n","# @markdown π Rapid keyframe processing\n","# @markdown <br> ------ <br> Extract Keyframes from ALL mp4 / webm videos found on Google Drive\n","# @markdown <br> Be mindful of Google Drive Terms of Service\n","# @markdown <br> This cell will process all mp4 videos found under\n","# @markdown <br> /content/drive/MyDrive/Saved from Chrome/\n","delete_mp4_when_done = True # @param {type:'boolean'}\n","# @markdown <br> deleted mp4/webm files will be found under 'trash' in your Google drive\n","# @markdown <br> -------\n","# @markdown <br> (Optional) Add a direct video link to below field.\n","# @markdown <br> Multiple links can be written in this field\n","# @markdown <br> separated by comma. Like this: <br> ' https:\\\\\\my_video.mp4 , https:\\\\\\second_video.webm , .... '\n","import os\n","import shutil\n","!pip install video-kf\n","!pip install ffmpeg-python\n","!pip install wget\n","!pip install moviepy\n","import wget\n","import videokf as vf\n","import time\n","proc_keyframes=True # @param {type:'boolean'}\n","proc_audio=False # @param {type:'boolean'}\n","#def mkdirs(folder):\n","# if not os.path.exists(folder):os.makedirs(folder)\n","#----#\n","direct_link = '' # @param {type:'string'}\n","# @markdown The linked videos will be downloaded to the Google drive prior to running the script.\n","# @markdown <br> This feature is useful for direct processing .webm from 4chan threads into keyframes\n","use_link = False # @param {type:'boolean'}\n","if direct_link.find('http')>-1: use_link = True\n","if use_link:\n"," %cd '/content/drive/MyDrive/Saved from Chrome/'\n"," for link in direct_link.split(','):\n"," if not link.find('http')>-1:continue\n"," wget.download(link.strip())\n"," time.sleep(5)\n"," %cd '/content/'\n","#-----#\n","filenames = []\n","srcpath = '/content/drive/MyDrive/Saved from Chrome/'\n","destpath = '/content/drive/MyDrive/'\n","localpath = '/content/'\n","converted = ''\n","for filename in os.listdir(f'{srcpath}'):\n"," if filename.find('.zip')>-1:\n"," %cd {srcpath}\n"," !unzip {filename}\n"," os.remove(filename)\n"," filename = filename.replace('.zip','')\n"," for suffix in ['.mkv','.mp4','.webm']:\n"," if filename.find(f'{suffix}')>-1: filenames.append(filename)\n","#Rename the downloaded video to 'tgt0' before running this cell\n","def my_mkdirs(folder):\n"," if os.path.exists(folder):shutil.rmtree(folder)\n"," os.makedirs(folder)\n","#----#\n","# @markdown Write a funny name for the folder(s) containing the keyframes\n","name_keyframes_as='' # @param {type:'string'}\n","# @markdown Created .zip files will not be overwritten\n","#NUM_ITEMS = 1 # @param {type:'slider', min:1 , max:20,step:1}\n","if name_keyframes_as.strip()=='': name_keyframes_as='keyframes'\n","num = 0\n","savepath = ''\n","%cd {localpath}\n","for filename in filenames:\n"," tgt_folder = f'/content/tmp'\n"," my_mkdirs(f'{tgt_folder}')\n"," print(f'Now processing video {filename}...')\n"," if proc_keyframes:\n"," vf.extract_keyframes(f'{srcpath}{filename}',output_dir_keyframes=f'{tgt_folder}')\n"," savepath = f'{destpath}{name_keyframes_as}_v{num}_kf'\n"," #---#\n"," while os.path.exists(f'{savepath}.zip'):\n"," #print(f'{savepath}.zip already exists...')\n"," num = num+1\n"," savepath = f'{destpath}{name_keyframes_as}_v{num}_kf'\n"," #---#\n"," shutil.make_archive(savepath,'zip' , f'{tgt_folder}')\n"," #from moviepy.editor import VideoFileClip\n"," if proc_audio:\n"," from moviepy.editor import VideoFileClip\n"," # Load the WebM file\n"," video = VideoFileClip(f\"{srcpath}{filename}\")\n","\n"," # Extract audio and save as MP3 (or WAV, etc.)\n"," audio = video.audio\n"," savepath = f\"{destpath}_audio_v{num}.mp3\"\n","\n"," while os.path.exists(savepath):\n"," num = num+1\n"," savepath= f\"{destpath}_audio_v{num}.mp3\"\n"," #----#\n"," if audio:\n"," audio.write_audiofile(f'{savepath}')\n"," # Close the files to free resources\n"," audio.close()\n"," video.close()\n"," #----#\n"," if delete_mp4_when_done: os.remove(f'{srcpath}{filename}')\n"," num = num+1\n"]},{"cell_type":"code","source":["import os\n","import zipfile\n","import glob\n","from google.colab import drive\n","import shutil\n","from pathlib import Path\n","\n","# Mount Google Drive\n","drive.mount('/content/drive')\n","\n","# Define the directory containing the zip files\n","zip_dir = '/content/drive/MyDrive/'\n","zip_pattern = 'keyframes_v*_kf.zip'\n","output_zip = '/content/drive/MyDrive/all_keyframes_combined.zip'\n","\n","# Temporary extraction directory\n","temp_dir = '/content/temp_extracted'\n","os.makedirs(temp_dir, exist_ok=True)\n","\n","# Function to check if file is an image\n","def is_image_file(filename):\n"," image_extensions = {\n"," '.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff', '.tif',\n"," '.webp', '.ico', '.svg', '.heic', '.heif', '.raw', '.cr2',\n"," '.nef', '.arw', '.dng', '.jpe', '.jp2', '.j2k'\n"," }\n"," ext = Path(filename).suffix.lower()\n"," return ext in image_extensions\n","\n","# Store original zip files for cleanup\n","original_zip_files = []\n","\n","print(\"Finding zip files...\")\n","zip_files = glob.glob(os.path.join(zip_dir, zip_pattern))\n","original_zip_files = zip_files.copy() # Keep for cleanup\n","print(f\"Found {len(zip_files)} zip files: {[os.path.basename(z) for z in zip_files]}\")\n","\n","# Extract each zip file\n","image_txt_pairs = []\n","for zip_path in zip_files:\n"," print(f\"\\nπ Extracting: {os.path.basename(zip_path)}\")\n","\n"," with zipfile.ZipFile(zip_path, 'r') as zip_ref:\n"," # Extract to temporary directory with unique subfolder\n"," unique_subdir = os.path.join(temp_dir, Path(zip_path).stem)\n"," zip_ref.extractall(unique_subdir)\n","\n"," # Find all files in the extracted content\n"," for root, dirs, files in os.walk(unique_subdir):\n"," for file in files:\n"," file_path = os.path.join(root, file)\n"," base_name = Path(file).stem\n"," ext = Path(file).suffix.lower()\n","\n"," if is_image_file(file):\n"," # Look for corresponding txt file\n"," txt_path = None\n"," possible_txt_names = [\n"," f\"{base_name}.txt\",\n"," f\"{base_name.lower()}.txt\",\n"," f\"{base_name.upper()}.txt\"\n"," ]\n","\n"," for txt_name in possible_txt_names:\n"," potential_txt = os.path.join(root, txt_name)\n"," if os.path.exists(potential_txt):\n"," txt_path = potential_txt\n"," break\n","\n"," image_txt_pairs.append({\n"," 'image_path': file_path,\n"," 'txt_path': txt_path,\n"," 'base_name': base_name\n"," })\n","\n","print(f\"\\nπ Total image-txt pairs found: {len(image_txt_pairs)}\")\n","print(f\" Images with matching txt: {sum(1 for p in image_txt_pairs if p['txt_path'])}\")\n","print(f\" Images without txt: {sum(1 for p in image_txt_pairs if not p['txt_path'])}\")\n","\n","# Create the output zip file\n","print(\"\\nποΈ Creating combined zip file...\")\n","combined_zip_created = False\n","\n","try:\n"," with zipfile.ZipFile(output_zip, 'w', zipfile.ZIP_DEFLATED) as output_zip_file:\n"," for i, pair in enumerate(image_txt_pairs, 1):\n"," try:\n"," # Create new image filename (keep original extension)\n"," original_ext = Path(pair['image_path']).suffix.lower()\n"," new_image_name = f\"{i}{original_ext}\"\n","\n"," # Add image\n"," with open(pair['image_path'], 'rb') as img_file:\n"," img_data = img_file.read()\n"," output_zip_file.writestr(new_image_name, img_data)\n","\n"," # Add corresponding txt file if exists\n"," if pair['txt_path'] and os.path.exists(pair['txt_path']):\n"," new_txt_name = f\"{i}.txt\"\n"," with open(pair['txt_path'], 'rb') as txt_file:\n"," txt_data = txt_file.read()\n"," output_zip_file.writestr(new_txt_name, txt_data)\n","\n"," if i % 50 == 0:\n"," print(f\"Processed {i}/{len(image_txt_pairs)} items...\")\n","\n"," except Exception as e:\n"," print(f\"β Error processing item {i}: {e}\")\n"," continue\n","\n"," # Verify the output zip was created successfully\n"," if os.path.exists(output_zip) and os.path.getsize(output_zip) > 0:\n"," combined_zip_created = True\n"," print(\"β
Combined zip file created successfully!\")\n"," else:\n"," print(\"β Failed to create combined zip file!\")\n"," combined_zip_created = False\n","\n","except Exception as e:\n"," print(f\"β Error creating combined zip: {e}\")\n"," combined_zip_created = False\n","\n","# Clean up temporary directory\n","try:\n"," shutil.rmtree(temp_dir, ignore_errors=True)\n"," print(\"π§Ή Temporary extraction files cleaned up\")\n","except:\n"," print(\"β οΈ Could not clean up temporary extraction files\")\n","\n","# Remove original zip files ONLY if combined zip was created successfully\n","if combined_zip_created and original_zip_files:\n"," print(f\"\\nποΈ Removing {len(original_zip_files)} original zip files...\")\n"," removed_count = 0\n","\n"," for zip_path in original_zip_files:\n"," try:\n"," if os.path.exists(zip_path):\n"," os.remove(zip_path)\n"," print(f\" ποΈ Removed: {os.path.basename(zip_path)}\")\n"," removed_count += 1\n"," else:\n"," print(f\" β οΈ File not found: {os.path.basename(zip_path)}\")\n"," except Exception as e:\n"," print(f\" β Failed to remove {os.path.basename(zip_path)}: {e}\")\n","\n"," print(f\"β
Successfully removed {removed_count}/{len(original_zip_files)} original zip files\")\n","else:\n"," print(\"\\nβ οΈ Skipping removal of original files - combined zip creation failed!\")\n"," print(\" Original files preserved for safety.\")\n","\n","# Final verification\n","if os.path.exists(output_zip):\n"," with zipfile.ZipFile(output_zip, 'r') as z:\n"," file_list = z.namelist()\n"," print(f\"\\nπ Final verification:\")\n"," print(f\" π Combined zip: {output_zip}\")\n"," print(f\" π Total files: {len(file_list)}\")\n","\n"," images_count = len([f for f in file_list if is_image_file(f)])\n"," txts_count = len([f for f in file_list if f.endswith('.txt')])\n"," print(f\" πΌοΈ Images: {images_count}\")\n"," print(f\" π Text files: {txts_count}\")\n","\n"," # Check for matching pairs\n"," image_numbers = set()\n"," txt_numbers = set()\n"," for f in file_list:\n"," if is_image_file(f):\n"," try:\n"," num = int(Path(f).stem)\n"," image_numbers.add(num)\n"," except:\n"," pass\n"," elif f.endswith('.txt'):\n"," try:\n"," num = int(Path(f).stem)\n"," txt_numbers.add(num)\n"," except:\n"," pass\n","\n"," matched_pairs = len(image_numbers & txt_numbers)\n"," print(f\" π Matched image-txt pairs: {matched_pairs}\")\n"," print(f\" πΎ Size: {os.path.getsize(output_zip) / (1024*1024):.1f} MB\")\n","\n","print(f\"\\nπ Process completed!\")\n","print(f\"π Final output: {output_zip}\")\n","if combined_zip_created:\n"," print(\"β
All original zip files have been removed.\")\n","else:\n"," print(\"β οΈ Original files preserved due to error.\")"],"metadata":{"id":"uZXUfKefmCIv"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from google.colab import runtime\n","runtime.unassign()\n","\n","\n"],"metadata":{"id":"1JlaBNIKODCT"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# @title Download YouTube Thumbnails (recursive playlists) β ZIP\n","# @markdown **Paste one or more YouTube URLs** (video, playlist **or channel**).\n","# @markdown Separate several links with a comma.\n","# @markdown The script will walk *all* nested playlists (Videos, Shorts, Live β¦) and stop after the chosen limit.\n","\n","!pip install --quiet --force-reinstall https://github.com/yt-dlp/yt-dlp/archive/master.tar.gz\n","import yt_dlp as youtube_dl\n","import os, re, shutil, json, time\n","from google.colab import drive\n","from tqdm.auto import tqdm\n","\n","drive.mount('/content/drive', force_remount=False)\n","\n","# ---------- USER PARAMETERS ----------\n","youtube_links = 'https://youtube.com/@kaitaisurale1990?si=y9w3IZa5FsFtwGX9' # @param {type:\"string\"}\n","zip_filename = 'yt_thumbs' # @param {type:\"string\"}\n","max_thumbs = 501 # @param {type:\"slider\", min:1, max:2000, step:10}\n","\n","# ---------- PATHS ----------\n","save_dir = '/content/drive/MyDrive/Saved from Chrome'\n","thumb_dir = '/content/yt_thumbs_temp'\n","os.makedirs(thumb_dir, exist_ok=True)\n","\n","# clean previous run\n","for f in os.listdir(thumb_dir): os.remove(os.path.join(thumb_dir, f))\n","\n","zip_path = os.path.join(save_dir, re.sub(r'[<>:\"/\\\\|?*]', '_', zip_filename.strip() or 'yt_thumbs') + '.zip')\n","\n","# ---------- yt-dlp base options ----------\n","base_opts = {\n"," 'quiet' : True,\n"," 'no_warnings' : True,\n"," 'extract_flat' : True, # we only need URLs + titles for the recursion\n"," 'skip_download': True,\n"," 'cookiefile' : '/content/drive/MyDrive/ytcookies.txt' # optional β remove if you donβt have one\n","}\n","\n","# ---------- Helper functions ----------\n","def sanitize(name: str) -> str:\n"," return re.sub(r'[<>:\"/\\\\|?*]', '_', name)[:180]\n","\n","def download_one_thumb(info: dict, idx: int) -> bool:\n"," \"\"\"Download the best thumbnail for a single entry.\"\"\"\n"," # pick highest-resolution thumbnail\n"," thumbs = info.get('thumbnails') or []\n"," thumb_url = None\n"," if thumbs:\n"," thumb_url = max(thumbs, key=lambda t: t.get('width',0)*t.get('height',0)).get('url')\n"," if not thumb_url:\n"," thumb_url = info.get('thumbnail')\n"," if not thumb_url:\n"," return False\n","\n"," ext = thumb_url.split('?')[0].split('.')[-1]\n"," if ext not in {'jpg','jpeg','png','webp'}: ext = 'jpg'\n"," title = info.get('title') or info.get('id') or f'video_{idx}'\n"," fname = f\"{sanitize(title)}.{ext}\"\n"," fpath = os.path.join(thumb_dir, fname)\n","\n"," !curl -s -L -o \"{fpath}\" \"{thumb_url}\"\n"," return os.path.exists(fpath)\n","\n","def extract_recursive(url: str, collected: list, limit: int):\n"," \"\"\"Recursively extract video entries from playlists (including channel tabs).\"\"\"\n"," if len(collected) >= limit:\n"," return\n","\n"," ydl = youtube_dl.YoutubeDL({**base_opts, 'extract_flat': True})\n"," try:\n"," info = ydl.extract_info(url, download=False)\n"," except Exception as e:\n"," print(f\"Warning: Failed to process {url}: {e}\")\n"," return\n","\n"," # ---- single video -------------------------------------------------\n"," if info.get('_type') == 'video' or 'entries' not in info:\n"," if len(collected) < limit:\n"," collected.append(info)\n"," return\n","\n"," # ---- playlist / channel -------------------------------------------\n"," entries = info.get('entries') or []\n"," for entry in entries:\n"," if entry is None: continue\n","\n"," # If the entry itself is a playlist (e.g. a channel tab) β recurse\n"," if entry.get('_type') == 'playlist' and entry.get('url'):\n"," sub_url = entry['url']\n"," if not sub_url.startswith('http'):\n"," sub_url = f\"https://www.youtube.com{sub_url}\"\n"," extract_recursive(sub_url, collected, limit)\n"," else:\n"," # Normal video entry\n"," if len(collected) < limit:\n"," collected.append(entry)\n","\n","# ---------- MAIN ---------------------------------------------------------\n","urls = [u.strip() for u in youtube_links.split(',') if u.strip()]\n","if not urls:\n"," raise ValueError(\"Please fill **youtube_links** with at least one URL.\")\n","\n","video_infos = []\n","for u in urls:\n"," print(f\"\\nScanning: {u}\")\n"," extract_recursive(u, video_infos, max_thumbs)\n","\n","print(f\"\\nCollected {len(video_infos)} video entries (capped at {max_thumbs}).\")\n","print(\"Downloading thumbnails β¦\")\n","\n","pbar = tqdm(total=len(video_infos), desc=\"Thumbs\", unit=\"thumb\")\n","downloaded = 0\n","for i, info in enumerate(video_infos):\n"," if download_one_thumb(info, i+1):\n"," downloaded += 1\n"," pbar.update(1)\n","pbar.close()\n","\n","print(f\"\\nDownloaded {downloaded}/{len(video_infos)} thumbnails.\")\n","\n","# ---------- ZIP ---------------------------------------------------------\n","print(\"Creating ZIP β¦\")\n","shutil.make_archive(zip_path.replace('.zip',''), 'zip', thumb_dir)\n","print(f\"ZIP ready β {zip_path}\")\n","\n","# clean temp folder\n","shutil.rmtree(thumb_dir)"],"metadata":{"id":"Ujzfv1yEMAId","colab":{"base_uri":"https://localhost:8080/","height":339,"referenced_widgets":["7021240f18e64d2d9ecffb4960655aa6","24117c32ef1e43d3a8340e2fea2c032d","b9a062706e394c68a954819052b65efb","7b24c8672ec349a8ac0332082bf45b6d","03437d6c3a9145de82e12c72c78a5dc7","8b2c6685f32949cea06733e887c0d830","a2fa31f7e2bb466c9bbf7ba4e0c435a5","1fd3e789bb2947b3906ff9707f831e92","186f380d870c4254b1b41ddf2b036af0","72a74ddd44604833a5a19686208edb13","4d8760ddc11d4fc89f38ddf8c9e1c27b"]},"executionInfo":{"status":"ok","timestamp":1762634355132,"user_tz":-60,"elapsed":44846,"user":{"displayName":"No Name","userId":"10578412414437288386"}},"outputId":"94e941bb-003d-4aec-a468-813f05276e9b"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2K \u001b[32m/\u001b[0m \u001b[32m2.9 MB\u001b[0m \u001b[31m10.0 MB/s\u001b[0m \u001b[33m0:00:00\u001b[0m\n","\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n"," Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n"," Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"," Building wheel for yt-dlp (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","Mounted at /content/drive\n","\n","Scanning: https://youtube.com/@kaitaisurale1990?si=y9w3IZa5FsFtwGX9\n","\n","Collected 2 video entries (capped at 501).\n","Downloading thumbnails β¦\n"]},{"output_type":"display_data","data":{"text/plain":["Thumbs: 0%| | 0/2 [00:00<?, ?thumb/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"7021240f18e64d2d9ecffb4960655aa6"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","Downloaded 2/2 thumbnails.\n","Creating ZIP β¦\n","ZIP ready β /content/drive/MyDrive/Saved from Chrome/yt_thumbs.zip\n"]}]}]} |