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Gramps 73666d3987 🪂 Deprecate sync_wiki.py and transition to in-memory GitHub wiki publishing 
sync_wiki.py is now deprecated in favor of token-authenticated in-memory
publishing directly to the GitHub wiki. This change reflects a shift to
e2e automation. The file remains as a fallback parachute.

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video-pipeline.wiki @ e9bf93a562
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.env.example
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.gitignore
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.gitmodules
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authorize_youtube.py
🛠️ Initial YouTube upload and description generation: OAuth, montage flow, thumbnail setup, env config. Work in progress by gramps@llamachile.shop
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launch.json
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LICENSE
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main.py
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python
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README.txt
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sync_wiki.py
🪂 Deprecate sync_wiki.py and transition to in-memory GitHub wiki publishing
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test_moviepy.py
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test_yt_ul.py
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upload_youtube_montage.py
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README.md

Llama Chile Shop Video Automation Pipeline

This project automates the rendering, branding, and publishing of Fortnite gameplay clips for YouTube and PeerTube.

Features

  • Auto-detection of new stream folders
  • Dynamic title card overlay
  • Automated rendering and social post generation
  • Vertical & widescreen output

Setup

  1. Clone the repo.
  2. Create a .env file (see ENVIRONMENT.md for required keys).
  3. Install dependencies:
pip install -r requirements.txt
Description
Video Pipeline Automation The Video Pipeline project automates the process of extracting, processing, and uploading highlights from livestreams, primarily for Fortnite gameplay. This system integrates Eklipse.gg for AI-based highlight detection, DaVinci Resolve for video editing, and custom Python scripts for rendering and metadata management. The pipeline supports seamless uploads to YouTube and PeerTube, automatic social media announcements, and maintains a detailed history of video metadata for each session. Key Features: Automated highlight extraction from livestreams Dynamic title card generation with Fortnite-themed branding Streamlined YouTube and PeerTube uploads with dynamic descriptions Metadata tracking and session management Social media integration for automatic posts to Mastodon and Bluesky This project is designed to optimize video content creation and management for livestreamers, ensuring efficiency and consistency in processing and sharing content.
Readme GPL-3.0 108 KiB
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