---
title: PatternRec Project Group5
emoji: 🦀
colorFrom: gray
colorTo: yellow
sdk: gradio
sdk_version: 5.37.0
app_file: app.py
pinned: false
license: apache-2.0
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
# 🚀 Group 5 Pattern Recognition Project - Deployment Guide

## 📖 Overview
This is a recipe recommendation system using semantic search with a trained BERT model. The system provides intelligent recipe recommendations based on semantic understanding of user queries.

## 🌐 Live Demo
Deploy this app on **Hugging Face Spaces** for free hosting!

## 📁 File Setup for Deployment

### Step 1: Upload Large Files to Google Drive

You need to upload these files to Google Drive and make them publicly accessible:

1. **torch_recipe_embeddings_231630.pt** (679MB)
2. **tag_based_bert_model.pth** (418MB)  
3. **RAW_recipes.csv** (281MB)
4. **recipe_statistics_231630.pkl** (4.3MB)
5. **recipe_scores_231630.pkl** (3.0MB)

### Step 2: Get Google Drive File IDs

For each file in Google Drive:
1. Right-click → "Get link"
2. Make sure it's set to "Anyone with the link can view"
3. Copy the file ID from the URL: `https://drive.google.com/file/d/FILE_ID_HERE/view`

### Step 3: Update File IDs in Code

Edit `gradio_app_deploy.py` and replace the placeholder IDs:

```python
GOOGLE_DRIVE_FILES = {
    'torch_recipe_embeddings_231630.pt': 'YOUR_ACTUAL_EMBEDDINGS_FILE_ID',
    'tag_based_bert_model.pth': 'YOUR_ACTUAL_MODEL_FILE_ID', 
    'RAW_recipes.csv': 'YOUR_ACTUAL_RECIPES_FILE_ID',
    'recipe_statistics_231630.pkl': 'YOUR_ACTUAL_STATS_FILE_ID',
    'recipe_scores_231630.pkl': 'YOUR_ACTUAL_SCORES_FILE_ID'
}
```

## 🤗 Deploy to Hugging Face Spaces

### Step 1: Create Hugging Face Account
1. Go to [huggingface.co](https://huggingface.co)
2. Sign up for a free account

### Step 2: Create New Space
1. Go to [huggingface.co/spaces](https://huggingface.co/spaces)
2. Click "Create new Space"
3. Choose:
   - **Space name**: `group5-recipe-recommendation`
   - **License**: Apache 2.0
   - **SDK**: Gradio
   - **Hardware**: CPU Basic (free)

### Step 3: Upload Files
Upload these files to your Space:

```
📁 Your Space Repository
├── app.py                 (rename gradio_app_deploy.py to app.py)
├── requirements.txt       (use requirements_deploy.txt)
└── README.md             (this file)
```

### Step 4: Files to Upload

1. **Rename** `gradio_app_deploy.py` → `app.py`
2. **Rename** `requirements_deploy.txt` → `requirements.txt`
3. **Upload** both files to your Space

### Step 5: Configure Space
Your Space will automatically:
1. Install dependencies from `requirements.txt`
2. Download files from Google Drive on first run
3. Start the Gradio app on port 7860

## 🔧 Alternative Deployment Options

### Option 1: Railway
1. Connect your GitHub repo to [Railway](https://railway.app)
2. Add environment variables for file URLs
3. Deploy with automatic builds

### Option 2: Render
1. Connect your GitHub repo to [Render](https://render.com)
2. Configure build and start commands
3. Set up environment variables

### Option 3: Streamlit Cloud
1. Convert the app to Streamlit format
2. Deploy via [streamlit.io](https://streamlit.io)

## 📊 Expected Performance
- **Startup Time**: 2-5 minutes (downloading files)
- **Search Speed**: <2 seconds per query
- **Memory Usage**: ~2GB (for full dataset)
- **Storage**: ~1.5GB total

## 🐛 Troubleshooting

### Common Issues:

1. **Files not downloading**
   - Check Google Drive file permissions
   - Verify file IDs are correct
   - Ensure files are public

2. **Out of memory**
   - Use smaller dataset subset
   - Upgrade to paid Hugging Face hardware

3. **Slow startup**
   - Normal for first run (downloading files)
   - Subsequent runs will be faster

## 🔗 Useful Links
- [Hugging Face Spaces Documentation](https://huggingface.co/docs/hub/spaces)
- [Gradio Documentation](https://gradio.app/docs)
- [PyTorch Documentation](https://pytorch.org/docs)

## 🔄 GitHub Integration & Auto-Sync

### Option 1: Direct GitHub Connection (Recommended)

1. **In your Hugging Face Space settings**:
   - Go to your Space → Settings → Repository
   - Click "Connect to GitHub"
   - Authorize Hugging Face to access your GitHub repo
   - Select your repository: `PatternRec_Project_Group7`

2. **Configure auto-sync**:
   - Enable "Auto-sync with GitHub"
   - Choose branch (usually `main`)
   - Set sync frequency (immediate, hourly, daily)

3. **Result**: Every time you push to GitHub, your Hugging Face Space will automatically update!

### Option 2: GitHub Actions (Advanced)

Create `.github/workflows/deploy-to-hf.yml` in your repo:

```yaml
name: Deploy to Hugging Face Spaces

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Push to Hugging Face Spaces
      env:
        HF_TOKEN: ${{ secrets.HF_TOKEN }}
      run: |
        git config --global user.email "action@github.com"
        git config --global user.name "GitHub Action"
        
        # Clone your HF Space repo
        git clone https://huggingface.co/spaces/YOUR_USERNAME/group5-recipe-recommendation hf-space
        cd hf-space
        
        # Copy files from GitHub repo
        cp ../gradio_app_deploy.py ./app.py
        cp ../requirements_deploy.txt ./requirements.txt
        cp ../DEPLOYMENT_README.md ./README.md
        
        # Push to HF Space
        git add .
        git commit -m "Auto-sync from GitHub: ${{ github.event.head_commit.message }}"
        git push https://USER:${{ secrets.HF_TOKEN }}@huggingface.co/spaces/YOUR_USERNAME/group5-recipe-recommendation
```

### Option 3: Dual Git Remotes

Set up your local repo to push to both GitHub and Hugging Face:

```bash
# Add HF Space as second remote
git remote add hf https://huggingface.co/spaces/YOUR_USERNAME/group5-recipe-recommendation

# Push to both with one command
git push origin main  # GitHub
git push hf main      # Hugging Face Space

# Or create an alias for both
git config alias.pushall '!git push origin main && git push hf main'
# Then use: git pushall
```

### Option 4: Automated Script

Create a deployment script `deploy.sh`:

```bash
#!/bin/bash
echo "🚀 Deploying to Hugging Face Space..."

# Copy deployment files
cp gradio_app_deploy.py app.py
cp requirements_deploy.txt requirements.txt

# Commit changes
git add app.py requirements.txt README.md
git commit -m "Deploy: $(date)"

# Push to GitHub
git push origin main

# Push to Hugging Face Space
git push hf main

echo "✅ Deployment complete!"
```

### Recommended Workflow

1. **Set up direct GitHub connection** (easiest)
2. **Structure your repo** with deployment-ready files:
   ```
   📁 Your GitHub Repo
   ├── gradio_app_deploy.py     # Main app (will become app.py)
   ├── requirements_deploy.txt  # Dependencies (will become requirements.txt)
   ├── DEPLOYMENT_README.md     # This file (will become README.md)
   ├── gradio_app_fixed.py      # Development version
   └── ... other project files
   ```

3. **Configure auto-sync** in HF Space settings
4. **Push to GitHub** - HF Space updates automatically!

### File Mapping for Auto-Sync

When files sync from GitHub → Hugging Face Space:

| GitHub File | → | HF Space File | Purpose |
|-------------|---|---------------|---------|
| `gradio_app_deploy.py` | → | `app.py` | Main application |
| `requirements_deploy.txt` | → | `requirements.txt` | Dependencies |
| `DEPLOYMENT_README.md` | → | `README.md` | Documentation |

### Benefits of GitHub Integration

✅ **Version Control**: Keep your code in GitHub
✅ **Automatic Updates**: Push once, deploy everywhere  
✅ **Collaboration**: Team members can contribute via GitHub
✅ **Backup**: Multiple copies of your code
✅ **CI/CD**: Run tests before deployment

## 🆘 Support
If you encounter issues:
1. Check the Space logs in Hugging Face
2. Verify all file IDs are correct
3. Ensure requirements.txt has all dependencies

## 🎯 Success Criteria
✅ App loads without errors
✅ Search functionality works
✅ Results show relevant recipes  
✅ Interface is responsive

Your app should be accessible at: `https://huggingface.co/spaces/YOUR_USERNAME/group5-recipe-recommendation`