Update llama_index to 0.9.3 (#1278)
* Update llama_index to 0.9.3 Had to change some imports because of breaking change durin the llama_index update to 0.9.0 * Update poetry.lock after update of llama_index
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# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
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[[package]]
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name = "accelerate"
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version = "0.24.1"
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description = "Accelerate"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "accelerate-0.24.1-py3-none-any.whl", hash = "sha256:866dec394da60e8da964be212379d8cf6cc0d0e5e28a7c0d7e09507715d21c61"},
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{file = "accelerate-0.24.1.tar.gz", hash = "sha256:85ab2aeb4d06194b75113339f81b7d650523414a82c9e91b2912a655f53dfa8e"},
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]
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[package.dependencies]
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huggingface-hub = "*"
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numpy = ">=1.17"
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packaging = ">=20.0"
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psutil = "*"
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pyyaml = "*"
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torch = ">=1.10.0"
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[package.extras]
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dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "timm", "tqdm", "transformers", "urllib3 (<2.0.0)"]
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quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
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rich = ["rich"]
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sagemaker = ["sagemaker"]
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test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
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test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
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test-trackers = ["comet-ml", "tensorboard", "wandb"]
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testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
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[[package]]
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name = "aiofiles"
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version = "23.2.1"
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@ -251,6 +280,24 @@ files = [
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tests = ["pytest (>=3.2.1,!=3.3.0)"]
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typecheck = ["mypy"]
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[[package]]
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name = "beautifulsoup4"
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version = "4.12.2"
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description = "Screen-scraping library"
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optional = false
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python-versions = ">=3.6.0"
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files = [
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{file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
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{file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
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]
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[package.dependencies]
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soupsieve = ">1.2"
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[package.extras]
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html5lib = ["html5lib"]
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lxml = ["lxml"]
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[[package]]
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name = "black"
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version = "22.12.0"
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@ -727,6 +774,49 @@ files = [
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marshmallow = ">=3.18.0,<4.0.0"
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typing-inspect = ">=0.4.0,<1"
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[[package]]
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name = "datasets"
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version = "2.15.0"
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description = "HuggingFace community-driven open-source library of datasets"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "datasets-2.15.0-py3-none-any.whl", hash = "sha256:6d658d23811393dfc982d026082e1650bdaaae28f6a86e651966cb072229a228"},
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{file = "datasets-2.15.0.tar.gz", hash = "sha256:a26d059370bd7503bd60e9337977199a13117a83f72fb61eda7e66f0c4d50b2b"},
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]
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[package.dependencies]
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aiohttp = "*"
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dill = ">=0.3.0,<0.3.8"
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fsspec = {version = ">=2023.1.0,<=2023.10.0", extras = ["http"]}
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huggingface-hub = ">=0.18.0"
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multiprocess = "*"
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numpy = ">=1.17"
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packaging = "*"
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pandas = "*"
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pyarrow = ">=8.0.0"
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pyarrow-hotfix = "*"
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pyyaml = ">=5.1"
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requests = ">=2.19.0"
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tqdm = ">=4.62.1"
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xxhash = "*"
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[package.extras]
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apache-beam = ["apache-beam (>=2.26.0,<2.44.0)"]
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audio = ["librosa", "soundfile (>=0.12.1)"]
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benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
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dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
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docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
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jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
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metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
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quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
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s3 = ["s3fs"]
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tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
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tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
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tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
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torch = ["torch"]
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vision = ["Pillow (>=6.2.1)"]
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[[package]]
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name = "deprecated"
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version = "1.2.14"
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[package.extras]
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dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
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[[package]]
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name = "dill"
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version = "0.3.7"
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description = "serialize all of Python"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "dill-0.3.7-py3-none-any.whl", hash = "sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e"},
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{file = "dill-0.3.7.tar.gz", hash = "sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03"},
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[package.extras]
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graph = ["objgraph (>=1.7.2)"]
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[[package]]
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name = "diskcache"
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version = "5.6.3"
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dnspython = ">=2.0.0"
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idna = ">=2.0.0"
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[[package]]
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name = "evaluate"
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version = "0.4.1"
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description = "HuggingFace community-driven open-source library of evaluation"
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optional = false
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python-versions = ">=3.7.0"
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files = [
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{file = "evaluate-0.4.1-py3-none-any.whl", hash = "sha256:3ff079ab09572c0a2c1e6d749887c19f6783ab993320412cd39f6fe501d28510"},
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{file = "evaluate-0.4.1.tar.gz", hash = "sha256:d721d9f2059ced79770d8a0509e954fbd1bbac96a8f9160e29888d8073cda3d9"},
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]
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[package.dependencies]
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datasets = ">=2.0.0"
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dill = "*"
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fsspec = {version = ">=2021.05.0", extras = ["http"]}
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huggingface-hub = ">=0.7.0"
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multiprocess = "*"
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numpy = ">=1.17"
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packaging = "*"
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pandas = "*"
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requests = ">=2.19.0"
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responses = "<0.19"
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tqdm = ">=4.62.1"
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xxhash = "*"
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[package.extras]
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dev = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "jiwer", "mauve-text", "nltk", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"]
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docs = ["s3fs"]
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evaluator = ["scipy (>=1.7.1)", "transformers"]
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quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
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template = ["cookiecutter", "gradio (>=3.0.0)"]
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tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
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tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
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tests = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "jiwer", "mauve-text", "nltk", "pytest", "pytest-datadir", "pytest-xdist", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"]
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torch = ["torch"]
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[[package]]
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name = "fastapi"
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version = "0.103.2"
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@ -1025,6 +1165,10 @@ files = [
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{file = "fsspec-2023.10.0.tar.gz", hash = "sha256:330c66757591df346ad3091a53bd907e15348c2ba17d63fd54f5c39c4457d2a5"},
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[package.dependencies]
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aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
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requests = {version = "*", optional = true, markers = "extra == \"http\""}
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[package.extras]
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abfs = ["adlfs"]
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adl = ["adlfs"]
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{file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
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]
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[[package]]
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name = "jsonpatch"
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version = "1.33"
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description = "Apply JSON-Patches (RFC 6902)"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
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files = [
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{file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
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[package.dependencies]
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jsonpointer = ">=1.9"
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[[package]]
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name = "jsonpointer"
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version = "2.4"
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description = "Identify specific nodes in a JSON document (RFC 6901)"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
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files = [
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]
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[[package]]
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name = "jsonschema"
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version = "4.20.0"
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[package.extras]
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adal = ["adal (>=1.0.2)"]
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[[package]]
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name = "langchain"
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version = "0.0.337"
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description = "Building applications with LLMs through composability"
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langchain-0.0.337-py3-none-any.whl", hash = "sha256:56903ea5d5ef4cd71c210b9a0556cca8691681b641e50dbc9b78292a585c8c49"},
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{file = "langchain-0.0.337.tar.gz", hash = "sha256:935bca0e35f760d68c8f0c6febbca8f0079ffcba665e2db1d199c9447ebe1a62"},
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]
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[package.dependencies]
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aiohttp = ">=3.8.3,<4.0.0"
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anyio = "<4.0"
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dataclasses-json = ">=0.5.7,<0.7"
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jsonpatch = ">=1.33,<2.0"
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langsmith = ">=0.0.63,<0.1.0"
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numpy = ">=1,<2"
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pydantic = ">=1,<3"
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PyYAML = ">=5.3"
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requests = ">=2,<3"
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SQLAlchemy = ">=1.4,<3"
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tenacity = ">=8.1.0,<9.0.0"
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[package.extras]
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||||
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||||
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|
||||
{file = "onnx-1.15.0-cp38-cp38-win_amd64.whl", hash = "sha256:763e55c26e8de3a2dce008d55ae81b27fa8fb4acbb01a29b9f3c01f200c4d676"},
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
{file = "onnx-1.15.0-cp39-cp39-win_amd64.whl", hash = "sha256:95d7a3e2d79d371e272e39ae3f7547e0b116d0c7f774a4004e97febe6c93507f"},
|
||||
{file = "onnx-1.15.0.tar.gz", hash = "sha256:b18461a7d38f286618ca2a6e78062a2a9c634ce498e631e708a8041b00094825"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = "*"
|
||||
protobuf = ">=3.20.2"
|
||||
|
||||
[package.extras]
|
||||
reference = ["Pillow", "google-re2"]
|
||||
|
||||
[[package]]
|
||||
name = "onnxruntime"
|
||||
version = "1.16.2"
|
||||
|
@ -2750,6 +2890,56 @@ files = [
|
|||
{file = "opentelemetry_semantic_conventions-0.42b0.tar.gz", hash = "sha256:44ae67a0a3252a05072877857e5cc1242c98d4cf12870159f1a94bec800d38ec"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "optimum"
|
||||
version = "1.14.1"
|
||||
description = "Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality."
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
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||||
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||||
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|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
coloredlogs = "*"
|
||||
datasets = [
|
||||
{version = "*"},
|
||||
{version = ">=1.2.1", optional = true, markers = "extra == \"onnxruntime\""},
|
||||
]
|
||||
evaluate = {version = "*", optional = true, markers = "extra == \"onnxruntime\""}
|
||||
huggingface-hub = ">=0.8.0"
|
||||
numpy = "*"
|
||||
onnx = {version = "*", optional = true, markers = "extra == \"onnxruntime\""}
|
||||
onnxruntime = {version = ">=1.11.0", optional = true, markers = "extra == \"onnxruntime\""}
|
||||
packaging = "*"
|
||||
protobuf = {version = ">=3.20.1", optional = true, markers = "extra == \"onnxruntime\""}
|
||||
sympy = "*"
|
||||
torch = ">=1.9"
|
||||
transformers = {version = ">=4.26.0", extras = ["sentencepiece"]}
|
||||
|
||||
[package.extras]
|
||||
benchmark = ["evaluate (>=0.2.0)", "optuna", "scikit-learn", "seqeval", "torchvision", "tqdm"]
|
||||
dev = ["Pillow", "accelerate", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "ruff (>=0.0.241,<=0.0.259)", "sacremoses", "torchaudio", "torchvision"]
|
||||
diffusers = ["diffusers"]
|
||||
doc-build = ["accelerate"]
|
||||
exporters = ["onnx", "onnxruntime", "timm"]
|
||||
exporters-gpu = ["onnx", "onnxruntime-gpu", "timm"]
|
||||
exporters-tf = ["h5py", "numpy (<1.24.0)", "onnx", "onnxruntime", "tensorflow (>=2.4,<=2.12.1)", "tf2onnx", "timm"]
|
||||
furiosa = ["optimum-furiosa"]
|
||||
graphcore = ["optimum-graphcore"]
|
||||
habana = ["optimum-habana", "transformers (>=4.33.0,<4.35.0)"]
|
||||
intel = ["optimum-intel (>=1.12.0)"]
|
||||
neural-compressor = ["optimum-intel[neural-compressor] (>=1.12.0)"]
|
||||
neuron = ["optimum-neuron[neuron]"]
|
||||
neuronx = ["optimum-neuron[neuronx]"]
|
||||
nncf = ["optimum-intel[nncf] (>=1.12.0)"]
|
||||
onnxruntime = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime (>=1.11.0)", "protobuf (>=3.20.1)"]
|
||||
onnxruntime-gpu = ["accelerate", "datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime-gpu (>=1.11.0)", "protobuf (>=3.20.1)"]
|
||||
openvino = ["optimum-intel[openvino] (>=1.12.0)"]
|
||||
quality = ["black (>=23.1,<24.0)", "ruff (>=0.0.241,<=0.0.259)"]
|
||||
tests = ["Pillow", "accelerate", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "sacremoses", "torchaudio", "torchvision"]
|
||||
|
||||
[[package]]
|
||||
name = "orjson"
|
||||
version = "3.9.10"
|
||||
|
@ -3083,6 +3273,34 @@ files = [
|
|||
{file = "protobuf-4.25.1.tar.gz", hash = "sha256:57d65074b4f5baa4ab5da1605c02be90ac20c8b40fb137d6a8df9f416b0d0ce2"},
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "psutil"
|
||||
version = "5.9.6"
|
||||
description = "Cross-platform lib for process and system monitoring in Python."
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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||||
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||||
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||||
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|
||||
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|
||||
|
||||
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|
||||
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||||
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@ -3130,6 +3348,65 @@ all = ["apache-bookkeeper-client (>=4.16.1)", "fastavro (==1.7.3)", "grpcio (>=1
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|||
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||||
|
||||
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||||
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|
||||
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||||
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||||
{file = "pyarrow_hotfix-0.5.tar.gz", hash = "sha256:ba697c743d435545e99bfbd89818b284e4404c19119c0ed63380a92998c4d0b1"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pyasn1"
|
||||
version = "0.5.0"
|
||||
|
@ -3336,13 +3613,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "pygments"
|
||||
version = "2.17.0"
|
||||
version = "2.17.1"
|
||||
description = "Pygments is a syntax highlighting package written in Python."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "pygments-2.17.0-py3-none-any.whl", hash = "sha256:cd0c46944b2551af02ecc15961050182ea120d3895000e2676160820f3421527"},
|
||||
{file = "pygments-2.17.0.tar.gz", hash = "sha256:edaa0fa2453d055d0ac94449d1f73ec7bc52c5e318204da1377c1392978c4a8d"},
|
||||
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|
||||
{file = "pygments-2.17.1.tar.gz", hash = "sha256:e45a0e74bf9c530f564ca81b8952343be986a29f6afe7f5ad95c5f06b7bdf5e8"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
|
@ -3767,6 +4044,24 @@ requests = ">=2.0.0"
|
|||
[package.extras]
|
||||
rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "responses"
|
||||
version = "0.18.0"
|
||||
description = "A utility library for mocking out the `requests` Python library."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "responses-0.18.0-py3-none-any.whl", hash = "sha256:15c63ad16de13ee8e7182d99c9334f64fd81f1ee79f90748d527c28f7ca9dd51"},
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||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
requests = ">=2.0,<3.0"
|
||||
urllib3 = ">=1.25.10"
|
||||
|
||||
[package.extras]
|
||||
tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=4.6)", "pytest-cov", "pytest-localserver", "types-mock", "types-requests"]
|
||||
|
||||
[[package]]
|
||||
name = "rich"
|
||||
version = "13.7.0"
|
||||
|
@ -4118,36 +4413,36 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (
|
|||
|
||||
[[package]]
|
||||
name = "scipy"
|
||||
version = "1.11.3"
|
||||
version = "1.11.4"
|
||||
description = "Fundamental algorithms for scientific computing in Python"
|
||||
optional = false
|
||||
python-versions = "<3.13,>=3.9"
|
||||
python-versions = ">=3.9"
|
||||
files = [
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{file = "scipy-1.11.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993"},
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{file = "scipy-1.11.4-cp311-cp311-win_amd64.whl", hash = "sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd"},
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{file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4"},
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{file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79"},
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||||
{file = "scipy-1.11.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660"},
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||||
{file = "scipy-1.11.4-cp312-cp312-win_amd64.whl", hash = "sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97"},
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||||
{file = "scipy-1.11.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7"},
|
||||
{file = "scipy-1.11.4-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec"},
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||||
{file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea"},
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||||
{file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937"},
|
||||
{file = "scipy-1.11.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd"},
|
||||
{file = "scipy-1.11.4-cp39-cp39-win_amd64.whl", hash = "sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65"},
|
||||
{file = "scipy-1.11.4.tar.gz", hash = "sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
@ -4298,6 +4593,17 @@ files = [
|
|||
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "soupsieve"
|
||||
version = "2.5"
|
||||
description = "A modern CSS selector implementation for Beautiful Soup."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
|
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{file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "sqlalchemy"
|
||||
version = "2.0.23"
|
||||
|
@ -4746,15 +5052,19 @@ files = [
|
|||
]
|
||||
|
||||
[package.dependencies]
|
||||
accelerate = {version = ">=0.20.3", optional = true, markers = "extra == \"torch\""}
|
||||
filelock = "*"
|
||||
huggingface-hub = ">=0.16.4,<1.0"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
protobuf = {version = "*", optional = true, markers = "extra == \"sentencepiece\""}
|
||||
pyyaml = ">=5.1"
|
||||
regex = "!=2019.12.17"
|
||||
requests = "*"
|
||||
safetensors = ">=0.3.1"
|
||||
sentencepiece = {version = ">=0.1.91,<0.1.92 || >0.1.92", optional = true, markers = "extra == \"sentencepiece\""}
|
||||
tokenizers = ">=0.14,<0.19"
|
||||
torch = {version = ">=1.10,<1.12.0 || >1.12.0", optional = true, markers = "extra == \"torch\""}
|
||||
tqdm = ">=4.27"
|
||||
|
||||
[package.extras]
|
||||
|
@ -5374,6 +5684,123 @@ files = [
|
|||
{file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "xxhash"
|
||||
version = "3.4.1"
|
||||
description = "Python binding for xxHash"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "xxhash-3.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f"},
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|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6"},
|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6"},
|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03"},
|
||||
{file = "xxhash-3.4.1.tar.gz", hash = "sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "yarl"
|
||||
version = "1.9.2"
|
||||
|
@ -5482,4 +5909,4 @@ qdrant = ["qdrant-client"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.11,<3.12"
|
||||
content-hash = "dcc5a6c72982ef337d14c0b1ee1c123dfb7f371aecad92f8c7c53b71dc119171"
|
||||
content-hash = "62688941bd24b24069b81c596ffb713fbe0427b8eec3f849cf809fdfde2db339"
|
||||
|
|
|
@ -6,14 +6,13 @@ from typing import TYPE_CHECKING, Any, AnyStr, Literal
|
|||
from injector import inject, singleton
|
||||
from llama_index import (
|
||||
Document,
|
||||
JSONReader,
|
||||
ServiceContext,
|
||||
StorageContext,
|
||||
StringIterableReader,
|
||||
VectorStoreIndex,
|
||||
load_index_from_storage,
|
||||
)
|
||||
from llama_index.node_parser import SentenceWindowNodeParser
|
||||
from llama_index.readers import JSONReader, StringIterableReader
|
||||
from llama_index.readers.file.base import DEFAULT_FILE_READER_CLS
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
|
|
@ -12,7 +12,7 @@ injector = "^0.21.0"
|
|||
pyyaml = "^6.0.1"
|
||||
python-multipart = "^0.0.6"
|
||||
pypdf = "^3.16.2"
|
||||
llama-index = "0.8.67"
|
||||
llama-index = { extras = ["local_models"], version = "0.9.3" }
|
||||
chromadb = "^0.4.13"
|
||||
watchdog = "^3.0.0"
|
||||
qdrant-client = {version = "^1.6.9", optional = true}
|
||||
|
|
Loading…
Reference in New Issue