# Base libraries for Hugging Face models
transformers==4.30.0                # Hugging Face Transformers library for model management
torch==2.0.0                         # PyTorch library for model training and inference
einops==0.6.0                        # Einops for tensor operations and manipulation
# or for TensorFlow
# tensorflow==2.12.0                 # Uncomment if using TensorFlow

# Other libraries commonly used in machine learning projects
numpy==1.24.0                        # NumPy for numerical operations
pandas==1.5.3                        # Pandas for data manipulation
scikit-learn==1.2.0                  # Scikit-learn for machine learning utilities
datasets==2.12.0                     # Hugging Face Datasets library for dataset handling
# Add other libraries as needed

# Web app dependencies
fastapi==0.95.0                      # FastAPI for building the API
uvicorn==0.22.0                      # Uvicorn for serving the FastAPI app
pydantic==1.11.1                     # Pydantic for data validation

# Optional: For logging and monitoring (if used in your project)
wandb==0.15.0                        # Weights & Biases for experiment tracking