fix: set port to 7860 and share=True for HF Spaces

feat: add trained model with Git LFS (99.17% accuracy)

feat: add trained model (99.17% accuracy)

chore: configure Git LFS for model files

Upload models/best_model.pt with huggingface_hub

chore: remove results directory for HF deployment

chore: merge Hugging Face Space initial files

initial commit

docs: add README.md for Hugging Face Spaces deployment

feat: complete Gradio app and Docker deployment (Task 3.2 & 3.3)

fix: resolve all 468 ruff linting errors (code quality enforcement complete)

refactor: implement comprehensive workflow improvements and process documentation

docs: mark Task 2.2b (MLflow integration) complete

feat: implement comprehensive MLflow tracking with MLOps best practices

chore: update augmentation demo notebook with execution outputs

docs: update Task 2.3 complete with 99.17% test accuracy

feat: complete baseline model training (99.17% test accuracy)

feat: add full training script with visualization

feat: add training pipeline with checkpointing

feat: add CNN model architectures

docs: update project status - Phase 1 complete

feat: add data augmentation with visualization notebook

feat: add preprocessing pipeline with PyTorch Dataset

feat: add data quality analysis module

feat: add comprehensive data exploration notebook

feat: add comprehensive data exploration notebook

docs: update copilot instructions with current project state

feat: extract MnistDataloader to reusable module

feat: extract MnistDataloader to reusable module

fix: update .gitignore to explicitly ignore MNIST binary data files

docs: add project documentation and reference files

feat: complete Phase 0 - project setup