chore: add ML dependencies for training pipeline

- Add transformers, datasets for model training
- Add torch for PyTorch backend
- Add onnx, onnxruntime for production inference
- Add scikit-learn for metrics
- Add matplotlib, seaborn for visualizations

pyproject.toml

@@ -19,6 +19,13 @@ sentence-transformers = "^2.2.0"
 openai = "^1.10.0"
 prometheus-client = "^0.19.0"
 python-dotenv = "^1.0.0"
+# ML dependencies
+transformers = "^4.37.0"
+datasets = "^2.16.0"
+torch = "^2.1.0"
+onnx = "^1.15.0"
+onnxruntime = "^1.16.0"
+scikit-learn = "^1.4.0"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.0"
@@ -28,6 +35,8 @@ ruff = "^0.1.0"
 black = "^24.1.0"
 mypy = "^1.8.0"
 pre-commit = "^3.6.0"
+matplotlib = "^3.8.0"
+seaborn = "^0.13.0"
 
 [build-system]
 requires = ["poetry-core"]