fix readme

README.md

@@ -1,3 +1,15 @@
+---
+title: LangGraph Data Analyst Agent
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: streamlit
+sdk_version: "1.28.0"
+app_file: app.py
+pinned: false
+license: mit
+---
+
 # 🤖 LangGraph Data Analyst Agent
 
 An intelligent data analyst agent built with LangGraph that analyzes customer support conversations with advanced memory, conversation persistence, and query recommendations.
@@ -41,6 +53,7 @@ User Query → Classifier → [Structured Agent | Unstructured Agent | Recommend
 ### Prerequisites
 - **Python Version**: 3.9 or higher
 - **API Key**: OpenAI API key or Nebius API key
+- **For Hugging Face Spaces**: Ensure your API key is set as a Space secret
 
 ### Installation
 
@@ -68,7 +81,7 @@ NEBIUS_API_KEY=your_nebius_api_key_here
 
 4. **Run the application**:
 ```bash
-streamlit run app_langgraph.py
+streamlit run app.py
 ```
 
 5. **Access the app**:
@@ -76,7 +89,16 @@ Open your browser to `http://localhost:8501`
 
 ### Alternative Deployment
 
-For cloud deployment, set the environment variable:
+#### For Hugging Face Spaces:
+1. **Fork or upload this repository to Hugging Face Spaces**
+2. **Set your API key as a Space secret:**
+   - Go to your Space settings
+   - Navigate to "Variables and secrets" 
+   - Add a secret named `NEBIUS_API_KEY` or `OPENAI_API_KEY`
+   - Enter your API key as the value
+3. **The app will start automatically**
+
+#### For other cloud deployment:
 ```bash
 export OPENAI_API_KEY=your_api_key_here
 # OR
@@ -203,10 +225,10 @@ Agents/
 ├── README.md                 # This file
 ├── requirements.txt          # Python dependencies
 ├── .env                     # API keys (create this)
-├── app_langgraph.py         # New LangGraph Streamlit app
+├── app.py                   # LangGraph Streamlit app
 ├── langgraph_agent.py       # LangGraph agent implementation
-├── app.py                   # Original app (for reference)
 ├── agent-memory.ipynb       # Memory example notebook
+├── test_agent.py            # Test suite
 └── DEPLOYMENT_GUIDE.md      # Original deployment guide
 ```