# Core dependencies for ConvNeXt CheXpert Classification with GradCAM
torch>=2.8.0
torchvision>=0.19.0
torchaudio>=2.8.0

# Computer vision and image processing
timm>=1.0.15
opencv-python>=4.10.0
Pillow>=10.4.0
numpy>=1.24.0,<2.0.0

# Data science and visualization
scikit-learn>=1.5.0
matplotlib>=3.9.0

# HuggingFace ecosystem
datasets>=3.0.0
huggingface-hub>=0.25.0

# Utilities
tqdm>=4.66.0

# Grad-CAM visualization
grad-cam>=1.5.0

# HuggingFace Spaces web interface
gradio>=5.0.0

# Optional: Enhanced model training (if needed)
ema-pytorch>=0.5.0

# Note: Set HF_TOKEN environment variable for private model repositories
# This can be done in HF Spaces secrets or local environment
# Last updated: Conservative stable versions (2025)