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Gemini Youtube Automation

Gemini Youtube Automation is a Python pipeline that uses Gemini to turn planned educational lessons into narrated videos and YouTube Shorts, creates thumbnails and metadata, uploads the outputs to YouTube, and updates its content plan through GitHub Actions.

Independent OpenViST project profile, based on linked sources.

Gemini Youtube Automation — OpenViST project profile in Workflow Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it as a starting point when you want a scheduled, repository-based pipeline for turning planned course lessons into YouTube videos and Shorts.

Who it is for

  • Developers adapting an automated educational-video production workflow.
  • Creators who want a code-based pipeline for generating and publishing lessons in widescreen and Shorts formats.

Documented uses

  • Select the next pending lesson from a content plan.
  • Generate a multi-slide lesson script and short-form summary with Gemini.
  • Add speech narration and Pexels imagery, then render video formats and thumbnails.
  • Upload videos and metadata to YouTube and mark the lesson complete in the repository.
Before you choose

Requirements & limits

  • The documented implementation uses Python 3.11 and runs through GitHub Actions, with a local main.py entry point also listed.
  • The workflow relies on Gemini 2.5 Flash, gTTS, Pexels, MoviePy, FFmpeg, Pillow, ImageMagick and YouTube Data API v3.
  • GitHub Actions setup requires Gemini and Pexels API keys plus YouTube OAuth files encoded as secrets.
  • The README describes a daily schedule at 7:00 AM UTC.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare the repository for a GitHub Actions run

Set up the documented repository dependencies and credentials for the scheduled workflow.

Before you start

  • Python project repository
  • Gemini API key from Google AI Studio
  • Pexels API key
  • YouTube OAuth client_secrets.json and credentials.json, encoded in base64

Steps

  1. Clone the repository and change into its directory.

  2. Install dependencies with pip install -r requirements.txt.

  3. Add GOOGLE_API_KEY, PEXELS_API_KEY, CLIENT_SECRET_B64 and CREDENTIALS_B64 under GitHub Settings → Secrets and variables → Actions.

Expected outcome

The documented repository and GitHub Actions secrets are in place for the scheduled pipeline.

Guide limitations

  • The setup instructions do not describe authorization troubleshooting or verify that a run will complete.
  • The README separately documents a local entry point, python main.py.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
ChaitanyaEswarRajeshJakki/gemini-youtube-automation · Official homepage title · retained in its source language