# TalentFit — requirements for the Hugging Face Space (full functionality:
# ML + NLP + the Computer-Vision résumé-scan path). The CV deps use the PyTorch
# CPU wheel index so the build stays lean (CPU-only torch, ~200 MB, not the ~2 GB
# CUDA build).

# --- App + inference -------------------------------------------------------
gradio==6.13.0
openai==2.33.0            # used only if OPENAI_API_KEY is set (lazy import)
scikit-learn==1.8.0       # MUST match the version that pickled the artifacts
scipy>=1.11.0             # sparse features in the fit model
numpy>=1.26.0
pandas>=2.2.0
joblib>=1.4.0

# --- Data acquisition + EDA (training/reproduction) ------------------------
datasets>=3.0.0
huggingface-hub>=0.25.0
pyarrow>=15.0.0
matplotlib>=3.8.0
seaborn>=0.13.0

# --- Computer-Vision block (résumé-scan upload + document check) -----------
# CPU-only wheels: for a given version the "+cpu" build sorts higher than the
# default CUDA wheel, so pip resolves to the lean CPU torch. Applies to the
# whole file (pip global option).
--extra-index-url https://download.pytorch.org/whl/cpu
torch>=2.2.0
torchvision>=0.17.0
pillow>=10.0.0