- DecodeTranscriptNode to parse transcript text
- YoutubeUploadNode to upload videos to YouTube
- Audio metadata and file list nodes
- Image stack blending and stripping alpha channel
- Sampler dataset creation node
- Utils for deep copying tensors and arrays
Also includes:
- Testing for new utils module
- Git nodes marked with base class
- Renamed nodes.py to avoid conflicts
- Import refactoring to handle naming
Specifics:
- descript.py: New transcript parsing node
- youtube_nodes.py: New YouTube upload node
- audio.py: New audio metadata and file list nodes
- utils.py: Deep copy utility functions
- image.py: New image stack blending and alpha stripping
- tests/test_utils.py: Tests for new utils
- git.py: Marked git nodes with base class
- __init__.py: Refactored imports and mappings
- requirements.txt: Added YouTube dependencies
- functional.py: Minor tweaks
- modules/youtube.py: Helper for upload node
- video.py: Minor cleanup
- tests/test_youtube_nodes.py: Test for YouTube upload
Changes made:
1. Created a new class called DecodeTranscriptNode.
2. Added class method INPUT_TYPES() to define the input types for the class.
3. Defined class variables RETURN_TYPES, RETURN_NAMES, and OUTPUT_NODE for the class.
4. Implemented the func() method to decode a descript transcript file and return the speakers, durations, and paragraphs as lists of strings.
5. Added the ETK_descript_base decorator to the class.
Impact: The new DecodeTranscriptNode class allows for decoding descript transcript files and extracting the speakers, durations, and paragraphs from the file.
Note: The patch also includes some import statements and post-processing calculations for the durations.
Tasha Upchurch