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A newer version of the Gradio SDK is available: 6.20.0

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metadata
title: Dataset Viewer
emoji: 🎬
colorFrom: blue
colorTo: gray
sdk: gradio
sdk_version: 6.19.0
app_file: app.py
pinned: false

Dataset Viewer

Visualise episodes from:

  • EgoVerse (angkul07/egoverse-pick-tasks) — zarr v3, front camera
  • ABC Teleop (angkul07/abc-ego) — mcap, three cameras side by side

Usage

  1. Select a dataset from the navbar dropdown
  2. (ABC Teleop only) Select a task
  3. Pick a UUID from the dropdown or type one in
  4. Click Convert → — videos stream in as each camera is ready

Deployment

Push app.py, requirements.txt, and this README.md to a HuggingFace Space (SDK: Gradio, hardware: CPU Basic is sufficient).

The Space needs read access to both dataset repos. If repos are private, add a HF_TOKEN secret in the Space settings and set:

os.environ["HF_TOKEN"] = os.getenv("HF_TOKEN", "")

at the top of app.py, then pass token=os.environ["HF_TOKEN"] to hf_hub_download and HfFileSystem().

Dependencies

ffmpeg must be available in the Space environment. Add to packages.txt:

ffmpeg