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Update README.md

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  ---
 
 
 
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  colorTo: yellow
 
 
 
 
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  ---
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  # Avocado On Toast (AVoCaDO video analysis)
@@ -8,16 +15,16 @@ Upload videos β†’ standardize with **ffmpeg** β†’ run **AVoCaDO** audio-visual a
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  ## What you get
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  Each run produces:
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- - `annotations.jsonl` (one record per processed video)
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- - `manifest.json` (run summary)
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  - per-video AVoCaDO outputs (e.g. `*_avocado.json`)
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  - optionally a `.zip` bundle (if enabled in the UI)
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  ## Notes
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- - The **Files** tab shows the git repo contents only. Runtime outputs are created under `/data` or `/tmp` and are exposed via the **Downloads** components in the app UI.
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  - AVoCaDO is required: if AVoCaDO fails, the run should fail.
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- ## How to run locally (optional)
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  ```bash
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  pip install -r requirements.txt
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- python app.py
 
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  ---
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+ title: Avocado On Toast
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+ emoji: πŸ₯‘πŸž
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+ colorFrom: green
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  colorTo: yellow
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+ sdk: gradio
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+ sdk_version: 6.2.0
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+ app_file: app.py
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+ pinned: false
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  ---
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  # Avocado On Toast (AVoCaDO video analysis)
 
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  ## What you get
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  Each run produces:
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+ - `annotations.jsonl` (one record per processed video, including AVoCaDO stdout/stderr and output path)
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+ - `manifest.json` (run summary + pointers to outputs)
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  - per-video AVoCaDO outputs (e.g. `*_avocado.json`)
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  - optionally a `.zip` bundle (if enabled in the UI)
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  ## Notes
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+ - The **Files** tab shows the git repo contents only. Runtime outputs live under `/data/...` (persistent if enabled) or `/tmp/...` and are exposed via the **Downloads** component in the app UI.
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  - AVoCaDO is required: if AVoCaDO fails, the run should fail.
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+ ## Run locally (optional)
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  ```bash
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  pip install -r requirements.txt
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+ python app.py