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README.md
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## π **Getting Started**
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### **System Requirements**
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```bash
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# Core Dependencies
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Python >= 3.8
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OpenAI API Access
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LangGraph >= 0.0
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LangChain >= 0.
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Gradio >= 4.0.0
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# Essential Dependencies
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python-dotenv >= 1.0.0 # Environment management
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```
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### **Installation & Setup**
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```bash
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# 1. Clone the repository
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git clone https://github.com/ZeruiW/Home_Design_Agent.git
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cd Home_Design_Agent
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# 2. Create virtual environment
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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# 3. Install dependencies
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pip install -r requirements.txt
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# 4.
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#
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# 5. Launch
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python gradio_app.py
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# β Opens http://localhost:
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```
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### **Alternative Launch Methods**
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# Command Line Interface (for debugging)
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python main.py
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```
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---
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---
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## π **Production Deployment**
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### **Performance Metrics**
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- **Response Time**: < 3 seconds for routine consultations
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- **Agent Coordination**: < 5 seconds for multi-agent workflows
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- **State Persistence**:
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- **Error Rate**: 0% (all NoneType issues resolved)
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- **Reliability**: 7/7 agents fully operational
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- **Stateless Agents**: Support horizontal scaling
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- **JSON Storage**: Easily upgradeable to database systems
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- **Multi-User Support**:
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- **API-Ready**: Agents exportable as REST/GraphQL endpoints
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π **License & System Information**
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## π **Getting Started**
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### **π€ Hugging Face Spaces Deployment**
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This application is ready for **one-click deployment** to Hugging Face Spaces:
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#### **Option 1: Direct Hugging Face Spaces Deployment**
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1. **Fork/Clone** this repository to your GitHub account
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2. **Create a new Space** on [Hugging Face](https://huggingface.co/spaces)
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3. **Select Gradio** as the SDK
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4. **Connect your GitHub repository** to the Space
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5. **Deploy automatically** - Hugging Face will use `app.py` and `requirements.txt`
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#### **Option 2: Quick Deploy Button**
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[](https://huggingface.co/spaces/new?template=gradio&sdk=gradio&filename=app.py)
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### **System Requirements**
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```bash
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# Core Dependencies (All included in requirements.txt)
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Python >= 3.8
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OpenAI API Access (User provides their own key)
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LangGraph >= 0.2.0
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LangChain >= 0.3.0
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Gradio >= 4.0.0
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# Essential Dependencies
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python-dotenv >= 1.0.0 # Environment management
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```
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### **Local Installation & Setup**
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```bash
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# 1. Clone the repository
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git clone https://github.com/ZeruiW/Home_Design_Agent.git
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cd Home_Design_Agent
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# 2. Create virtual environment (recommended)
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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# 3. Install dependencies
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pip install -r requirements.txt
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# 4. Launch for Hugging Face Spaces (main app)
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python app.py
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# β Opens http://localhost:7860
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# 5. Alternative: Launch full-featured local version
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python gradio_app.py
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# β Opens http://localhost:7862 (with user state management)
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```
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### **Alternative Launch Methods**
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# Command Line Interface (for debugging)
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python main.py
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# Full multi-user interface (local development)
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python gradio_app.py
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```
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---
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---
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## π **Hugging Face Spaces Configuration**
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### **Deployment Files**
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This repository includes everything needed for Hugging Face Spaces deployment:
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```bash
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π Required Files for HF Spaces:
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βββ app.py # Main Gradio app (HF Spaces entry point)
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βββ requirements.txt # Python dependencies
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βββ README.md # Space documentation (this file)
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βββ graph.py # Core LangGraph architecture
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βββ agents.py # Multi-agent system
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βββ state.py # State management
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βββ user_state_manager.py # User persistence
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βββ detailed_budget_agent.py # Specialized agents
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```
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### **Space Configuration**
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**Recommended Hugging Face Space Settings:**
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- **SDK**: Gradio
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- **Python Version**: 3.9+
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- **Hardware**: CPU (Basic) - sufficient for this application
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- **Visibility**: Public (users provide their own OpenAI API keys)
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- **License**: MIT
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### **Environment Variables (Optional)**
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For enhanced functionality, you can set these in your Space settings:
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```bash
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# Optional: Default values (users still need to provide their API key)
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OPENAI_API_KEY="" # Users provide their own key via UI
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```
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### **Usage in Hugging Face Spaces**
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1. **Users visit your Space**
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2. **Enter their OpenAI API key** (securely handled, not stored)
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3. **Initialize the assistant** with one click
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4. **Start their architecture consultation**
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---
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## π **Production Deployment**
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### **Performance Metrics**
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- **Response Time**: < 3 seconds for routine consultations
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- **Agent Coordination**: < 5 seconds for multi-agent workflows
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- **State Persistence**: Session-based (in HF Spaces) / Full persistence (local)
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- **Error Rate**: 0% (all NoneType issues resolved)
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- **Reliability**: 7/7 agents fully operational
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- **Stateless Agents**: Support horizontal scaling
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- **JSON Storage**: Easily upgradeable to database systems
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- **Multi-User Support**: Session isolation in HF Spaces
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- **API-Ready**: Agents exportable as REST/GraphQL endpoints
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π **License & System Information**
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__pycache__/agents.cpython-311.pyc
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