README.md

metadata

title: Vartur Search Engine
emoji: 🏢
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.40.1
app_file: main.py
pinned: false
short_description: Search Engine for VARTUR ® Real Estate Brokerage

Real Estate Property Search Engine

A Streamlit-based application for managing and searching real estate properties using natural language processing and vector similarity search.

Project Structure

├── .env
├── .env.example
├── .gitignore
├── main.py
├── requirements.txt
├── data/
│   └── sample_data.csv
└── utils/
    ├── config.py
    ├── db_agent.py
    ├── helper.py
    └── styles.py

Setup

1. Clone the repository
2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install requirements:

pip install -r requirements.txt

4. Set up environment variables by copying .env.example to .env:

cp .env.example .env

5. Update .env with your credentials:

APP_PASSWORD=your_app_password
OPENAI_API_KEY=your_openai_api_key

Running the Application

Start the Streamlit app:

streamlit run main.py

Features

• Natural language property search
• Property data indexing and management
• Advanced filtering options
• Secure login system
• File management interface
• Real-time property data updates

CSV Data Format

Your CSV files should include these columns:

• UnitCode
• UnitType
• Floor
• Developer
• TotalArea
• AskingPrice
• View

Tech Stack

• Streamlit: UI framework
• ChromaDB: Vector database
• OpenAI Embeddings: Text embeddings for semantic search
• Pandas: Data processing

Security

• Password-protected interface
• File integrity verification
• Secure configuration management

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