# Deep Learning Framework
# PyPI ships the CUDA-enabled build. On a CPU-only machine you can save ~2.5 GB:
#   pip install torch --index-url https://download.pytorch.org/whl/cpu
# (run that first, then pip install -r requirements.txt)
torch>=2.0.0

# Web Interface
gradio==6.9.0            # pinned for reproducible builds (uses gr.Timer, launch(theme=, css=, head=))

# Scientific Computing
numpy>=1.24.0
scipy>=1.10.0
pandas>=2.0.0            # imported directly by app.py

# Visualization
matplotlib>=3.7.0
plotly>=5.15.0
Pillow>=10.0.0

# Model backbones
einops>=0.7.0            # required by models/vit.py