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-# Hugging Face Deployment Guide
-
-This guide will help you deploy the Smart Budget Recommendation API to Hugging Face Spaces.
-
-## Prerequisites
-
-1. A Hugging Face account (sign up at https://huggingface.co)
-2. MongoDB connection string ready
-3. Git installed (optional, you can also use the web interface)
-
-## Step-by-Step Deployment
-
-### Step 1: Create a New Space
-
-1. Go to https://huggingface.co/spaces
-2. Click "Create new Space"
-3. Fill in the details:
-   - **Space name**: `smart-budget-recommendation` (or your preferred name)
-   - **SDK**: Select **Docker**
-   - **Visibility**: Choose Public or Private
-4. Click "Create Space"
-
-### Step 2: Add secrets (MongoDB and optional OpenAI)
-
-1. In your Space, go to **Settings** (gear icon)
-2. Navigate to **Variables and secrets** section
-3. Click **New secret**
-4. Add the following secrets:
-   - **Name**: `MONGODB_URI`
-     - **Value**: `mongodb://expenseuser:Kem_6o%3F%3F@165.227.69.221:27017/expense?authSource=admin`
-   - **Name**: `OPENAI_API_KEY` *(optional, enables GPT-based recommendations)*
-     - **Value**: `sk-...`
-5. Click **Add secret** after each entry
-
-### Step 3: Upload Files
-
-You can upload files in two ways:
-
-#### Option A: Using Git (Recommended)
-
-1. Clone your Space repository:
-```bash
-git clone https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME
-cd YOUR_SPACE_NAME
-```
-
-2. Copy all files from this project:
-   - `app/` directory (all Python files)
-   - `Dockerfile`
-   - `requirements.txt`
-   - `.dockerignore`
-   - `README.md` (optional)
-
-3. Commit and push:
-```bash
-git add .
-git commit -m "Initial deployment"
-git push
-```
-
-#### Option B: Using Web Interface
-
-1. In your Space, click **Files and versions** tab
-2. Click **Add file** → **Upload files**
-3. Upload all files:
-   - All files from `app/` directory
-   - `Dockerfile`
-   - `requirements.txt`
-   - `.dockerignore`
-
-### Step 4: Wait for Build
-
-1. Hugging Face will automatically detect the `Dockerfile` and start building
-2. You can monitor the build progress in the **Logs** tab
-3. The build typically takes 2-5 minutes
-
-### Step 5: Verify Deployment
-
-Once the build completes:
-
-1. Your API will be available at: `https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space`
-2. Test the health endpoint: `https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space/health`
-3. View API documentation: `https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space/docs`
-
-## Testing Your Deployment
-
-### Using cURL
-
-```bash
-# Health check
-curl https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space/health
-
-# Get recommendations (replace user123 with actual user_id)
-curl https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space/recommendations/user123
-```
-
-### Using Python
-
-```python
-import requests
-
-BASE_URL = "https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space"
-
-# Health check
-response = requests.get(f"{BASE_URL}/health")
-print(response.json())
-
-# Get recommendations
-response = requests.get(f"{BASE_URL}/recommendations/user123")
-print(response.json())
-```
-
-## Important Notes
-
-1. **Port Configuration**: Hugging Face Spaces expect apps to serve on port **7860**, so the Dockerfile exposes and binds to that port.
-
-2. **Environment Variables**: Secrets such as `MONGODB_URI` (and optional `OPENAI_API_KEY`) are injected automatically into the container environment.
-
-3. **Cold Starts**: The first request after inactivity may take longer (cold start). Subsequent requests will be faster
-
-4. **Resource Limits**: Free Hugging Face Spaces have resource limits. For production use, consider upgrading
-
-5. **Custom Domain**: You can add a custom domain in Space settings if needed
-
-## Troubleshooting
-
-### Build Fails
-
-- Check the **Logs** tab for error messages
-- Ensure `Dockerfile` is in the root directory
-- Verify all required files are uploaded
-
-### Connection Errors
-
-- Verify `MONGODB_URI` secret is set correctly
-- Check MongoDB server is accessible from Hugging Face's servers
-- Review connection string encoding (special characters should be URL-encoded)
-
-### API Not Responding
-
-- Check the **Logs** tab for runtime errors
-- Verify the application starts successfully
-- Test the `/health` endpoint first
-
-## Updating Your Deployment
-
-1. Make changes to your code locally
-2. Commit and push to your Space repository
-3. Hugging Face will automatically rebuild and redeploy
-
-## Support
-
-For issues specific to:
-- **Hugging Face Spaces**: Check [Hugging Face Documentation](https://huggingface.co/docs/hub/spaces)
-- **This Application**: Check the main README.md file
-