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docs: add Build Small hackathon badges to README

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Add Space metadata tags and a visible README badge section for Redac's Build Small Hackathon track, sponsor, and achievement claims.

Co-authored-by: OpenAI Codex <codex@openai.com>

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  1. README.md +34 -1
README.md CHANGED
@@ -10,8 +10,41 @@ app_file: app.py
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  pinned: false
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  license: other
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  short_description: Redac
 
 
 
 
 
 
 
 
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  ---
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  # Redac
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- Minimal Gradio starter. Edit `app.py` to build out the app.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pinned: false
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  license: other
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  short_description: Redac
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+ tags:
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+ - track:backyard
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+ - sponsor:openai
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+ - sponsor:openbmb
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+ - achievement:offgrid
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+ models:
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+ - openbmb/MiniCPM-V-4_5
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+ - urchade/gliner_multi_pii-v1
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  ---
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  # Redac
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+ Redac is a local privacy gateway: paste sensitive text or upload a document/ID
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+ image, extract and redact PII locally, then copy the safe output into any LLM
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+ without exposing raw personal data. The local placeholder map lets you rehydrate
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+ answers afterward.
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+
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+ ## Build Small Hackathon Badges
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+
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+ | Badge | Why Redac qualifies |
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+ |---|---|
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+ | ๐Ÿก **Backyard AI** (`track:backyard`) | Redac solves a practical privacy problem for people who want to use LLMs with medical, ID, banking, or personal documents without leaking raw PII. |
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+ | ๐ŸŒ€ **OpenAI Track** (`sponsor:openai`) | The Space history includes Codex-attributed commits, and the app is designed around a copy-safe workflow for downstream LLM use. |
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+ | ๐Ÿฎ **OpenBMB Awards** (`sponsor:openbmb`) | Image extraction uses `openbmb/MiniCPM-V-4_5` in-Space via ZeroGPU before the extracted fields flow into the redaction core. |
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+ | ๐Ÿ”Œ **Off the Grid** (`achievement:offgrid`) | Extraction, detection, redaction, and rehydration run inside the Space process. No external AI API receives raw PII. |
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+
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+ ## Models
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+
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+ - `openbmb/MiniCPM-V-4_5` โ€” local document/ID image extraction.
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+ - `urchade/gliner_multi_pii-v1` โ€” local PII-tuned zero-shot NER.
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+
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+ ## Flow
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+
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+ 1. Paste text or upload a document image.
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+ 2. Redac extracts fields locally when needed.
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+ 3. Redac replaces detected PII with stable placeholders.
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+ 4. Copy the safe output into your LLM.
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+ 5. Rehydrate the LLM answer locally when you need the original values back.