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!

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📊 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