COMMIT_GUIDE.md

# 📤 Quick Commit Guide for GitHub Desktop

## ✅ Good News!
Your repository is already connected to: `https://github.com/kbssrikar7/heart-attack-risk-ensemble.git`

## 📋 Files Ready to Commit

### Modified Files (need to be staged):
- ✅ `streamlit_app.py` - Updated with all fixes
- ✅ `requirements.txt` - Updated dependencies
- ✅ `model_assets/hybrid_metrics.csv` - Updated metrics

### New Files to Add:
- ✅ `TEST_CASES.md` - 8 test cases
- ✅ `DEPLOYMENT_CHECKLIST.md` - Deployment verification
- ✅ `DEPLOYMENT_OPTIONS.md` - Deployment options guide
- ✅ `GITHUB_SETUP.md` - GitHub setup guide
- ✅ `COLAB_COMPARISON.md` - Colab comparison
- ✅ `COMPLETION_ESTIMATE.md` - Completion estimates
- ✅ `DOCKER_OPTIMIZATION.md` - Docker optimization guide
- ✅ `DOCKER_README.md` - Docker readme
- ✅ `IMPROVEMENTS.md` - Improvements documentation
- ✅ `Dockerfile.optimization` - Optimization Dockerfile

## 🎯 Steps in GitHub Desktop

### Step 1: Open GitHub Desktop
1. Launch GitHub Desktop
2. It should automatically detect your repository at:
   `/home/kbs/Documents/heart-attack-risk-ensemble`

### Step 2: Review Changes
1. You'll see all modified and new files in the left panel
2. Review each file to make sure everything looks good

### Step 3: Stage All Files
1. Click the checkbox next to "Changes" (or select all files)
2. Or manually select files you want to commit

### Step 4: Write Commit Message
**Summary:**
```
Complete Heart Attack Risk Prediction App - Ready for Deployment
```

**Description:**
```
- Updated Streamlit app with optimized ensemble models
- Added all 3 models: XGBoost, CatBoost, LightGBM
- Fixed feature alignment and UI display
- Added comprehensive test cases (8 test scenarios)
- Created deployment documentation
- Models: 80.77% accuracy, 93.27% recall
- Ensemble weights: XGB 5%, CAT 85%, LGB 10%
- Ready for Hugging Face Spaces deployment
```

### Step 5: Commit
1. Click **"Commit to main"** button
2. Wait for commit to complete

### Step 6: Push to GitHub
1. Click **"Push origin"** button (top right)
2. Wait for push to complete
3. Verify on GitHub.com

## ✅ Verify on GitHub

After pushing, check:
1. Go to: https://github.com/kbssrikar7/heart-attack-risk-ensemble
2. Verify all files are there
3. Check that model files are uploaded (should be ~15MB each)

## 🚀 Next: Deploy to Hugging Face

Once code is on GitHub:
1. Go to https://huggingface.co/spaces
2. Click "Create new Space"
3. Select "Streamlit"
4. Connect your GitHub repo
5. Deploy!

---

## 📊 File Sizes (All Good!)
- ✅ Largest model: 15MB (under 100MB limit)
- ✅ Total model assets: 44MB
- ✅ All files can be committed to GitHub

## ⚠️ Note
- Make sure repository is **Public** (required for free Hugging Face Spaces)
- If it's private, you'll need Hugging Face Pro