> ## Documentation Index > Fetch the complete documentation index at: https://docs.wearer.xyz/llms.txt > Use this file to discover all available pages before exploring further. # CLI Commands > Overview of Transfer Learning CLI commands and their usage # CLI Commands Transfer Learning provides a powerful command-line interface for processing videos and generating step-by-step guides. This page provides an overview of all available commands and their options. ## Command Structure All Transfer Learning commands follow this general structure: ```bash theme={null} transfer-learning [command] [arguments] [options] ``` ## Command Alias Transfer Learning provides a convenient command alias `tl` that can be used instead of typing out the full `transfer-learning` command. The `tl` command is available through shell scripts in the `scripts` directory: * For Unix-like systems (macOS/Linux): `scripts/tl` * For Windows: `scripts/tl.bat` ### Usage ```bash theme={null} tl [command] [arguments] [options] ``` The `tl` command works exactly the same as the `transfer-learning` command, but with a shorter name. For example: ```bash theme={null} # Using the full command transfer-learning process-video video.mp4 # Using the alias tl process-video video.mp4 ``` ### Global Installation To make the `tl` command available globally: #### Unix-like Systems (macOS/Linux) ```bash theme={null} # Create a symbolic link in /usr/local/bin sudo ln -s "$(pwd)/scripts/tl" /usr/local/bin/tl ``` #### Windows Add the `scripts` directory to your PATH environment variable or create a symbolic link in a directory that's already in your PATH. ## Available Commands Process a local video file and extract content Generate a step-by-step guide from processed video data Process a YouTube video and extract content Generate a guide directly from a YouTube video Extract transcript from video Analyze video content Download video from supported platforms Configure environment variables and settings The Transfer Learning CLI provides seven core actions for video processing and guide generation: * **Process-video**: Process local video files * **Generate Guide**: Create guides from processed local videos * **Process Youtube**: Process videos from YouTube * **Youtube-guide**: Generate guides directly from YouTube videos * **Transcribe**: Extract transcripts from videos * **Analyze**: Analyze video content * **Download**: Download videos from supported platforms ## Command Details ### process-video Process a local video file and extract content. ```bash theme={null} transfer-learning process-video PATH [OPTIONS] ``` #### Arguments * `PATH`: Path to video file or directory #### Options * `--output-dir TEXT`: Output directory for results * `--batch-size INTEGER`: Number of frames to process in each batch * `--max-concurrent INTEGER`: Maximum number of concurrent batches #### Example ```bash theme={null} transfer-learning process-video tutorial.mp4 --output-dir data/processed --batch-size 30 ``` ### generate-guide Generate a step-by-step guide from processed video data. ```bash theme={null} transfer-learning generate-guide PATH [OPTIONS] ``` #### Arguments * `PATH`: Path to processed video data #### Options * `--output-dir TEXT`: Output directory for guides * `--model TEXT`: Model to use for guide generation * `--temperature FLOAT`: Temperature for generation * `--user-directive TEXT`: User directive to customize guide generation * `--skip-cache`: Skip cache and force regeneration #### Example ```bash theme={null} transfer-learning generate-guide data/processed/tutorial --output-dir guides --model gpt-4o ``` ### process-youtube Process a YouTube video and extract content. ```bash theme={null} transfer-learning process-youtube URL [OPTIONS] ``` #### Arguments * `URL`: YouTube video URL #### Options * `--output-dir TEXT`: Output directory for results * `--batch-size INTEGER`: Number of frames to process in each batch * `--max-concurrent INTEGER`: Maximum number of concurrent batches #### Example ```bash theme={null} transfer-learning process-youtube "https://youtube.com/watch?v=VIDEO_ID" --output-dir data/youtube ``` ### youtube-guide Generate a guide directly from a YouTube video. ```bash theme={null} transfer-learning youtube-guide URL [OPTIONS] ``` #### Arguments * `URL`: YouTube video URL #### Options * `--output-dir TEXT`: Output directory for guides * `--model TEXT`: Model to use for guide generation * `--temperature FLOAT`: Temperature for generation * `--batch-size INTEGER`: Number of frames to process in each batch * `--max-concurrent INTEGER`: Maximum number of concurrent batches * `--user-directive TEXT`: User directive to customize guide generation * `--skip-cache`: Skip cache and force regeneration #### Example ```bash theme={null} transfer-learning youtube-guide "https://youtube.com/watch?v=VIDEO_ID" --output-dir guides ``` ### transcribe Extract transcript from video. ```bash theme={null} transfer-learning transcribe PATH [OPTIONS] ``` #### Arguments * `PATH`: Path to video file or YouTube URL #### Options * `--output-dir TEXT`: Output directory for transcripts * `--model TEXT`: Whisper model to use * `--device TEXT`: Device to use for transcription #### Example ```bash theme={null} transfer-learning transcribe tutorial.mp4 --output-dir transcripts --model base ``` ### analyze Analyze video content. ```bash theme={null} transfer-learning analyze PATH [OPTIONS] ``` #### Arguments * `PATH`: Path to video file or YouTube URL #### Options * `--output-dir TEXT`: Output directory for analysis results * `--batch-size INTEGER`: Number of frames to process in each batch * `--max-concurrent INTEGER`: Maximum number of concurrent batches * `--model TEXT`: Whisper model to use for transcription * `--device TEXT`: Device to use for transcription #### Example ```bash theme={null} transfer-learning analyze tutorial.mp4 --output-dir analysis ``` ### download Download video from supported platforms. ```bash theme={null} transfer-learning download URL [OPTIONS] ``` #### Arguments * `URL`: URL to download video from #### Options * `--output-dir TEXT`: Output directory for downloaded videos #### Example ```bash theme={null} transfer-learning download "https://youtube.com/watch?v=VIDEO_ID" --output-dir videos ``` ### config Configure environment variables and settings. ```bash theme={null} transfer-learning config [OPTIONS] ``` #### Options * `--show`: Show current configuration * `--reset`: Reset configuration to defaults #### Example ```bash theme={null} transfer-learning config --show ``` ## Global Options These options are available for all commands: * `--help`: Show help message and exit * `--version`: Show version and exit ## Environment Variables Transfer Learning uses the following environment variables: * `OPENAI_API_KEY`: OpenAI API key for vision and guide generation * `FRAME_EXTRACTION_INTERVAL`: Interval between frame extractions * `MAX_FRAMES_PER_VIDEO`: Maximum number of frames to extract per video * `BATCH_SIZE`: Number of frames to process in each batch * `MAX_CONCURRENT_BATCHES`: Maximum number of concurrent batches * `WHISPER_MODEL`: Whisper model to use for transcription * `WHISPER_DEVICE`: Device to use for transcription (cpu/cuda) * `ENABLE_MONITORING`: Enable or disable monitoring (true/false) * `LOG_LEVEL`: Logging level (INFO, DEBUG, WARNING, ERROR) These can be set in a `.env` file in the project root directory. # CLI Overview The Transfer Learning CLI provides a comprehensive set of tools for processing videos and generating step-by-step guides. It features intelligent video handling, automatic compression, and AI-powered analysis. ## Key Features * **Smart Video Processing** * Automatic size management and compression * Frame extraction at configurable intervals * Support for multiple video formats * Progress tracking and monitoring * **File Management** * Automatic compression for large files * Quality-preserving size reduction * Temporary file handling * Configurable size limits