README.md

metadata

title: ProofAssets Real Estate Tokenizer
emoji: 🏠
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.47.2
app_file: app.py
pinned: true

🏠 ProofAssets: Real Estate Tokenizer

This Space demonstrates how AI + NLP can be applied to real estate contracts.
Upload a lease or agreement, and the demo will:

1. Extract key metadata (e.g., parties, duration, rent, jurisdiction).
2. Identify important clauses (termination, liability, indemnity, etc.).
3. Output a structured JSON schema that could be used for tokenization (ERC-20 / ERC-721 metadata).

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🚀 Demo

👉 Try it live here: ProofAssets – Real Estate Tokenizer

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🔧 How it Works

• Frontend: Gradio
• Backend: Python + Hugging Face Transformers (demo stub for now)
• Output: JSON metadata + human-readable summary

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📊 Example Input

This Lease Agreement is made between Landlord X and Tenant Y for the premises located at 123 Main Street. The lease term is 12 months, commencing on June 1, 2025, with a monthly rent of $1,500...

Example Output (JSON)

{
  "parties": ["Landlord X", "Tenant Y"],
  "property_address": "123 Main Street",
  "lease_term": "12 months",
  "start_date": "2025-06-01",
  "rent_amount": 1500,
  "clauses": {
    "termination": true,
    "liability": true,
    "indemnity": false
  },
  "jurisdiction": "US"
}

📂 Repository Structure
ProofAssets-RealEstate-Tokenizer/
│
├── app.py               # Gradio demo (main app)
├── requirements.txt     # Dependencies
└── README.md            # Project description

⚖️ Legal & Ethical Notice

This demo is for educational and prototyping purposes only.
It does not provide legal advice and should not be used in production for compliance.

✨ About ProofAssets

ProofAssets is building a framework for tokenized real assets, starting with real estate and leases.

AI-powered contract processing

Blockchain-ready metadata

Compliance-minded architecture


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👉 All you need to do now:  
1. Create your **New Space** (Gradio).  
2. Upload `requirements.txt`, `README.md`, and `app.py` (the demo script I drafted earlier).  
3. Hugging Face will auto-build the environment and launch your interactive tokenizer demo.  

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Do you want me to also clean up the **`app.py` demo script** so it has Hugging Face’s recommended format (wi