Shorts Autopilot

WebUI that finds trending YouTube videos, writes original 60 second scripts with a local Ollama model, generates clips with Google Veo, stitches them with ffmpeg, and uploads them to YouTube as Shorts with generated tags.

Requirements

Python 3.10+
ffmpeg on PATH
Ollama with a text model and a vision model:
- ollama pull llama3.1:8b
- ollama pull llama3.2-vision
Gemini API key with billing enabled (Veo)
Google Cloud project with YouTube Data API v3 enabled

Google OAuth setup

Google Cloud Console: enable YouTube Data API v3.
Create an OAuth client of type Web application.
Add redirect URI http://localhost:8000/auth/callback.
Download it as client_secret.json next to app.py.
Add your Google account as a test user on the OAuth consent screen.

Run

pip install -r requirements.txt
python app.py

Open http://localhost:8000

Settings: set the storage folder, Gemini key, and profile options, then Save.
Dashboard: Link YouTube channel to this profile.
Click GO.

Storage layout

<storage folder>\
  output\<profile>\<job>\      in progress or failed jobs
  published\<profile>\<job>\   uploaded to YouTube

App settings, profiles, OAuth tokens, and logs live in data\. The log file is data\logs\app.log.

Made for kids

When enabled on a profile, uploads are flagged as made for kids and scripts go through word filters, an LLM compliance review, and per-clip vision checks. By default kids uploads are held as private for manual review. Also set your channel audience to made for kids in YouTube Studio.

Notes

Uploads cost about 1,600 of the default 10,000 daily API quota units.
Uploads from unverified Google API projects are locked to private until the project passes Google's audit.

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