Delete DEPLOYMENT_README.md

DEPLOYMENT_README.md

@@ -1,269 +0,0 @@
-# 🚀 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`