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Download pyproject.toml from seudoe/vectorisationResume: direct link, hf CLI and curl.
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https://huggingface.co/spaces/seudoe/vectorisationResume/resolve/main/pyproject.toml
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hf download hf://spaces/seudoe/vectorisationResume/pyproject.toml
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curl -L -o pyproject.toml https://huggingface.co/spaces/seudoe/vectorisationResume/resolve/main/pyproject.toml
852 Bytes
| [project] | |
| name = "vectoriser" | |
| version = "0.1.0" | |
| description = "iFind vectoriser: TF-IDF + BERT encoding, HNSW graph, student recommendations" | |
| readme = "README.md" | |
| requires-python = ">=3.11,<3.12" | |
| dependencies = [ | |
| "fastapi==0.115.0", | |
| "uvicorn[standard]==0.30.6", | |
| "pydantic==2.8.2", | |
| "torch==2.3.1", | |
| "sentence-transformers==3.3.1", | |
| "transformers==4.44.2", | |
| "scikit-learn==1.5.1", | |
| "pandas==2.2.2", | |
| "numpy==1.26.4", | |
| "pymongo==4.8.0", | |
| "python-dotenv==1.0.1", | |
| # hnswlib compiles C++; Windows has no wheel, so use the prebuilt chroma-hnswlib (same `hnswlib` module) there | |
| "hnswlib==0.8.0; sys_platform != 'win32'", | |
| "chroma-hnswlib; sys_platform == 'win32'", | |
| ] | |
| [dependency-groups] | |
| dev = ["pytest", "requests"] | |
| [tool.uv] | |
| package = false | |
| [tool.pytest.ini_options] | |
| pythonpath = ["."] | |
| testpaths = ["tests"] | |