diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml index 4f64de8..09d7026 100644 --- a/.github/workflows/ci.yaml +++ b/.github/workflows/ci.yaml @@ -44,7 +44,7 @@ jobs: - name: Install packages & build run: | - poetry install --without docs + poetry install --without docs --extras scorer - name: Run formatter run: | diff --git a/docs/installation.rst b/docs/installation.rst index b7ce424..d7408a5 100644 --- a/docs/installation.rst +++ b/docs/installation.rst @@ -7,6 +7,13 @@ To install the Saga LLM Evaluation ML library, use the following command: pip install saga-llm-evaluation +If you want to use the Scorer class, you need to install the following dependencies: + +.. code-block:: bash + pip install saga-llm-evaluation[scorer] + +However, beware that this will downgrade the version of the `pandas` library to 1.5.3 if you have a higher version installed. This is due to a compatibility issue with the `pandas` library. + Be aware that by default the library will run pytorch on the CPU. If you want to run it on the GPU, you need to install pytorch with GPU support. You can find the instructions `here `_. Moreover, to use BLEURTScore, you first need to install BLEURT from the official github repository. You can install it using the following command: diff --git a/docs/usage.rst b/docs/usage.rst index 82bce6e..b351058 100644 --- a/docs/usage.rst +++ b/docs/usage.rst @@ -5,6 +5,12 @@ Usage Default use of the Scorer ------------------------- The Scorer is a class that allows you to run multiple metrics at once. The metrics supported are BERTScore, MAUVE, BLEURTScore, Q-Squared, SelCheck-GPT, G-Eval, and GPT-Score, but of course this list is likely to grow in the future. +If you want to use the Scorer class, you need to install the following dependencies: + +.. code-block:: bash + pip install saga-llm-evaluation[scorer] + +However, beware that this will downgrade the version of the `pandas` library to 1.5.3 if you have a higher version installed. This is due to a compatibility issue with the `pandas` library. .. code-block:: python diff --git a/installation.md b/installation.md index cc85bc1..8d9b0ea 100644 --- a/installation.md +++ b/installation.md @@ -6,6 +6,14 @@ To install the Saga LLM Evaluation ML library, use the following command: pip install saga-llm-evaluation ``` +If you want to use the Scorer class, you need to install the following dependencies: + +```bash +pip install saga-llm-evaluation[scorer] +``` + +However, beware that this will downgrade the version of the `pandas` library to 1.5.3 if you have a higher version installed. This is due to a compatibility issue with the `pandas` library. + Be aware that by default the library will run pytorch on the CPU. If you want to run it on the GPU, you need to install pytorch with GPU support. You can find the instructions [here](https://pytorch.org/get-started/locally/). Moreover, to use BLEURTScore, you first need to install BLEURT from the official github repository. You can install it using the following command: diff --git a/poetry.lock b/poetry.lock index 18e6d27..f3f809f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,111 +1,127 @@ # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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"faiss-cpu"] ruff = ["ruff (==0.5.1)"] @@ -6767,16 +6724,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", 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python-versions = ">=3.9,<3.11" -content-hash = "a1df76457be7b01dc35cc38e027eb4facb256c1c92994358ec927f87f05fc76d" +content-hash = "32fd3fa01906af5895f352fb9b154a5bc40c2e9f8dc884ee89dd4bbb88601c99" diff --git a/pyproject.toml b/pyproject.toml index 1c8ce6d..06b1384 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,9 +17,6 @@ evaluate = "^0.4.1" mauve-text = "^0.3.0" bert-score = "^0.3.13" torch = "2.1.1" -tensorflow = { version = "^2.14", markers = "sys_platform == 'linux'" } -tensorflow-macos = { version = "^2.14", markers = "sys_platform == 'darwin' and platform_machine == 'arm64'" } -elemeta = "1.0.7" llama-cpp-python = "^0.2.11" faiss-cpu = "^1.7.4" langchain = "^0.2.15" @@ -29,6 +26,9 @@ langchain-community = "^0.2.15" nltk = "^3.9.1" langchain-huggingface = "^0.0.3" +# Extras +elemeta = { version = "^1.0.7", optional = true } + [tool.poetry.dev-dependencies] pylint = "^2.13" pylint-quotes = "^0.2.3" @@ -46,6 +46,9 @@ sphinx-markdown-builder = "^0.6.7" sphinx-emoji-favicon = "^0.2" sphinx-copybutton = "^0.5.2" +[tool.poetry.extras] +scorer = ["elemeta"] + [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/saga_llm_evaluation/__init__.py b/saga_llm_evaluation/__init__.py index 52a8ec7..be37974 100644 --- a/saga_llm_evaluation/__init__.py +++ b/saga_llm_evaluation/__init__.py @@ -1,12 +1 @@ -from elemeta.nlp import english_punctuations, english_stopwords, extended_punctuations -from elemeta.nlp.extractors.high_level import * -from elemeta.nlp.extractors.low_level.abstract_metafeature_extractor import ( - AbstractMetafeatureExtractor, -) - -from .helpers.embedding_metrics import MAUVE, BERTScore -from .helpers.language_metrics import BLEURTScore, QSquared -from .helpers.llm_metrics import GEval, GPTScore, SelfCheckGPT -from .helpers.utils import MetadataExtractor, get_llama_model - __version__ = "0.11.6"