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A newer version of the Gradio SDK is available: 6.13.0

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metadata 
title: Inner I YT Genre Architect
emoji: 🎧
colorFrom: purple
colorTo: indigo
sdk: gradio
app_file: app.py
python_version: '3.11'
pinned: false

Inner I YT Genre Architect

AI Playlist Structuring for Creator Sovereignty

Developed by Inner I Breathfield Productions

The Inner I YT Genre Architect is an AI-powered tool that analyzes YouTube channel metadata and automatically generates intelligent playlist structures. It helps creators organize their content ecosystems to improve viewer navigation, session duration, and channel discoverability.

Official Tool Hub
https://innerinetcompany.com/2026/02/13/yt-genre-architect

Inner I — YT Genre Architect analyzes public YouTube metadata and automatically clusters videos into intelligently named genre playlists.

Paste a channel link → scan → cluster → export playlists.

No downloads. No reuploads. No scraping private data.

What This Tool Does

  • Analyzes public YouTube titles + descriptions
  • Uses AI embeddings (SentenceTransformers)
  • Clusters videos into genre-style buckets
  • Generates readable playlist names
  • Exports:
    • JSON
    • CSV

Designed for creators, curators, music channels, and long-form content organizers.

How It Works

  1. Enter a YouTube channel URL or handle
  2. Choose how many videos to scan
  3. Choose how many playlists to generate
  4. Click Generate
  5. Export your structured playlists

The clustering model uses semantic embeddings to group similar themes and styles together.

Requirements

You must provide a YouTube Data API key.

Add it in HF Space Settings → Secrets: YOUTUBE_API_KEY=your_key_here

Go get your API key here:

https://console.cloud.google.com/

What This Tool Does NOT Do

  • It does not download videos
  • It does not rehost content
  • It does not access private data
  • It does not bypass YouTube restrictions
  • It does not guarantee algorithm growth

It works only with publicly available metadata via official APIs.

Technology Stack

  • Gradio
  • SentenceTransformers
  • scikit-learn (KMeans clustering)
  • YouTube Data API v3
  • Hugging Face Spaces

Who Is This For?

  • Music artists organizing discographies
  • Podcast channels grouping episodes
  • Education channels structuring lessons
  • Content strategists planning watch-time funnels
  • Indie creators wanting structured archives

Performance Notes

  • The first run loads the embedding model (cold start).
  • Larger scans (200–300 videos) require more processing time.
  • If hardware is upgraded, higher scan limits are safe.

Legal & Compliance

This application complies with:

  • YouTube API Terms of Service
  • Google API Services User Data Policy

See TERMS_PRIVACY.md for full Terms of Service and Privacy Policy.

About Inner I

Inner I builds tools that support:

  • Creator sovereignty
  • Structured digital presence
  • Conscious technology deployment
  • Scalable creative workflows

Website:
https://innerinetcompany.com

Roadmap (Optional Future Features)

  • Direct playlist push via OAuth
  • Watch-time flow analytics
  • Semantic genre labeling presets
  • Batch channel comparison
  • Creator revenue funnel mapping

Built on Hugging Face Spaces

Legal & Privacy

See:

TERMS_PRIVACY.md

LICENSE