Activating HuggingFaceEmbeddings, adding Jina deps (#378)
🚀 feat(config.yaml): add HuggingFaceEmbeddings to embeddings The Jina and sentence-transformers dependencies were added to the project to improve the functionality of the application. The HuggingFaceEmbeddings was added to the embeddings in the config.yaml file to improve the quality of the embeddings used in the application. Closes #375
This commit is contained in:
Rodrigo Nader
GitHub
commit
f0503d2eb0
4 changed files with 441 additions and 31 deletions
459
poetry.lock
generated
459
poetry.lock
generated
|
|
@ -5,7 +5,7 @@ name = "aiofiles"
|
|||
version = "23.1.0"
|
||||
description = "File support for asyncio."
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7,<4.0"
|
||||
files = [
|
||||
{file = "aiofiles-23.1.0-py3-none-any.whl", hash = "sha256:9312414ae06472eb6f1d163f555e466a23aed1c8f60c30cccf7121dba2e53eb2"},
|
||||
|
|
@ -141,7 +141,7 @@ name = "aiostream"
|
|||
version = "0.4.5"
|
||||
description = "Generator-based operators for asynchronous iteration"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "aiostream-0.4.5-py3-none-any.whl", hash = "sha256:25b7c2d9c83570d78c0ef5a20e949b7d0b8ea3b0b0a4f22c49d3f721105a6057"},
|
||||
|
|
@ -215,7 +215,7 @@ name = "asgiref"
|
|||
version = "3.7.1"
|
||||
description = "ASGI specs, helper code, and adapters"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "asgiref-3.7.1-py3-none-any.whl", hash = "sha256:33958cb2e4b3cd8b1b06ef295bd8605cde65b11df51d3beab39e2e149a610ab3"},
|
||||
|
|
@ -974,7 +974,7 @@ name = "docarray"
|
|||
version = "0.21.0"
|
||||
description = "The data structure for unstructured data"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "docarray-0.21.0.tar.gz", hash = "sha256:3c9f605123800c1b0cdf8c458be3fb19c05e9a81f723e51200ef531b02e689ee"},
|
||||
|
|
@ -1003,7 +1003,7 @@ name = "docker"
|
|||
version = "6.1.2"
|
||||
description = "A Python library for the Docker Engine API."
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "docker-6.1.2-py3-none-any.whl", hash = "sha256:134cd828f84543cbf8e594ff81ca90c38288df3c0a559794c12f2e4b634ea19e"},
|
||||
|
|
@ -1092,7 +1092,7 @@ name = "ecdsa"
|
|||
version = "0.18.0"
|
||||
description = "ECDSA cryptographic signature library (pure python)"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
files = [
|
||||
{file = "ecdsa-0.18.0-py2.py3-none-any.whl", hash = "sha256:80600258e7ed2f16b9aa1d7c295bd70194109ad5a30fdee0eaeefef1d4c559dd"},
|
||||
|
|
@ -1555,7 +1555,7 @@ name = "grpcio-health-checking"
|
|||
version = "1.47.5"
|
||||
description = "Standard Health Checking Service for gRPC"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "grpcio-health-checking-1.47.5.tar.gz", hash = "sha256:74f36ef2ff704c46965bd74cdea51afc0bbcde641134c9d09ecb5063391db516"},
|
||||
|
|
@ -1571,7 +1571,7 @@ name = "grpcio-reflection"
|
|||
version = "1.47.5"
|
||||
description = "Standard Protobuf Reflection Service for gRPC"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "grpcio-reflection-1.47.5.tar.gz", hash = "sha256:ac391ec327861f16bc870638101fee80799eccf39c5b09e9ddd776d6854b9873"},
|
||||
|
|
@ -2034,7 +2034,7 @@ name = "jcloud"
|
|||
version = "0.2.10"
|
||||
description = "Simplify deploying and managing Jina projects on Jina Cloud"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "jcloud-0.2.10.tar.gz", hash = "sha256:40f9e0f8cbef4a711d58941939e206923eb1fdd65941f7b4ded4f448cc5a927f"},
|
||||
|
|
@ -2077,7 +2077,7 @@ name = "jina"
|
|||
version = "3.15.2"
|
||||
description = "Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · MLOps"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "jina-3.15.2.tar.gz", hash = "sha256:41c3fbe14736edf34e69b0245410554347b209aa01f4cf8e2c65d6e3972ba0b0"},
|
||||
|
|
@ -2195,7 +2195,7 @@ name = "jina-hubble-sdk"
|
|||
version = "0.38.0"
|
||||
description = "SDK for Hubble API at Jina AI."
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "jina-hubble-sdk-0.38.0.tar.gz", hash = "sha256:1667917ed16d75eddd1e0d3b8e9d78ffd611de59500abeca48b05040c7571c4c"},
|
||||
|
|
@ -2216,6 +2216,24 @@ rich = "*"
|
|||
[package.extras]
|
||||
full = ["aiohttp", "black (==22.3.0)", "docker", "filelock", "flake8 (==4.0.1)", "importlib-metadata", "isort (==5.10.1)", "mock (==4.0.3)", "pathspec", "pytest (==7.0.0)", "pytest-asyncio (==0.19.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.7.0)", "python-jose", "pyyaml", "requests", "rich"]
|
||||
|
||||
[[package]]
|
||||
name = "jinja2"
|
||||
version = "3.1.2"
|
||||
description = "A very fast and expressive template engine."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
|
||||
{file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
MarkupSafe = ">=2.0"
|
||||
|
||||
[package.extras]
|
||||
i18n = ["Babel (>=2.7)"]
|
||||
|
||||
[[package]]
|
||||
name = "joblib"
|
||||
version = "1.2.0"
|
||||
|
|
@ -2559,6 +2577,66 @@ profiling = ["gprof2dot"]
|
|||
rtd = ["attrs", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
|
||||
testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
|
||||
|
||||
[[package]]
|
||||
name = "markupsafe"
|
||||
version = "2.1.2"
|
||||
description = "Safely add untrusted strings to HTML/XML markup."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:665a36ae6f8f20a4676b53224e33d456a6f5a72657d9c83c2aa00765072f31f7"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:340bea174e9761308703ae988e982005aedf427de816d1afe98147668cc03036"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22152d00bf4a9c7c83960521fc558f55a1adbc0631fbb00a9471e097b19d72e1"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28057e985dace2f478e042eaa15606c7efccb700797660629da387eb289b9323"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca244fa73f50a800cf8c3ebf7fd93149ec37f5cb9596aa8873ae2c1d23498601"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d9d971ec1e79906046aa3ca266de79eac42f1dbf3612a05dc9368125952bd1a1"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:7e007132af78ea9df29495dbf7b5824cb71648d7133cf7848a2a5dd00d36f9ff"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7313ce6a199651c4ed9d7e4cfb4aa56fe923b1adf9af3b420ee14e6d9a73df65"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-win32.whl", hash = "sha256:c4a549890a45f57f1ebf99c067a4ad0cb423a05544accaf2b065246827ed9603"},
|
||||
{file = "MarkupSafe-2.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:835fb5e38fd89328e9c81067fd642b3593c33e1e17e2fdbf77f5676abb14a156"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2ec4f2d48ae59bbb9d1f9d7efb9236ab81429a764dedca114f5fdabbc3788013"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:608e7073dfa9e38a85d38474c082d4281f4ce276ac0010224eaba11e929dd53a"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:65608c35bfb8a76763f37036547f7adfd09270fbdbf96608be2bead319728fcd"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2bfb563d0211ce16b63c7cb9395d2c682a23187f54c3d79bfec33e6705473c6"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:da25303d91526aac3672ee6d49a2f3db2d9502a4a60b55519feb1a4c7714e07d"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:9cad97ab29dfc3f0249b483412c85c8ef4766d96cdf9dcf5a1e3caa3f3661cf1"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:085fd3201e7b12809f9e6e9bc1e5c96a368c8523fad5afb02afe3c051ae4afcc"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1bea30e9bf331f3fef67e0a3877b2288593c98a21ccb2cf29b74c581a4eb3af0"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-win32.whl", hash = "sha256:7df70907e00c970c60b9ef2938d894a9381f38e6b9db73c5be35e59d92e06625"},
|
||||
{file = "MarkupSafe-2.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:e55e40ff0cc8cc5c07996915ad367fa47da6b3fc091fdadca7f5403239c5fec3"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a6e40afa7f45939ca356f348c8e23048e02cb109ced1eb8420961b2f40fb373a"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf877ab4ed6e302ec1d04952ca358b381a882fbd9d1b07cccbfd61783561f98a"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63ba06c9941e46fa389d389644e2d8225e0e3e5ebcc4ff1ea8506dce646f8c8a"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f1cd098434e83e656abf198f103a8207a8187c0fc110306691a2e94a78d0abb2"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:55f44b440d491028addb3b88f72207d71eeebfb7b5dbf0643f7c023ae1fba619"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:a6f2fcca746e8d5910e18782f976489939d54a91f9411c32051b4aab2bd7c513"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:0b462104ba25f1ac006fdab8b6a01ebbfbce9ed37fd37fd4acd70c67c973e460"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-win32.whl", hash = "sha256:7668b52e102d0ed87cb082380a7e2e1e78737ddecdde129acadb0eccc5423859"},
|
||||
{file = "MarkupSafe-2.1.2-cp37-cp37m-win_amd64.whl", hash = "sha256:6d6607f98fcf17e534162f0709aaad3ab7a96032723d8ac8750ffe17ae5a0666"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a806db027852538d2ad7555b203300173dd1b77ba116de92da9afbc3a3be3eed"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a4abaec6ca3ad8660690236d11bfe28dfd707778e2442b45addd2f086d6ef094"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f03a532d7dee1bed20bc4884194a16160a2de9ffc6354b3878ec9682bb623c54"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4cf06cdc1dda95223e9d2d3c58d3b178aa5dacb35ee7e3bbac10e4e1faacb419"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22731d79ed2eb25059ae3df1dfc9cb1546691cc41f4e3130fe6bfbc3ecbbecfa"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:f8ffb705ffcf5ddd0e80b65ddf7bed7ee4f5a441ea7d3419e861a12eaf41af58"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8db032bf0ce9022a8e41a22598eefc802314e81b879ae093f36ce9ddf39ab1ba"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2298c859cfc5463f1b64bd55cb3e602528db6fa0f3cfd568d3605c50678f8f03"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-win32.whl", hash = "sha256:50c42830a633fa0cf9e7d27664637532791bfc31c731a87b202d2d8ac40c3ea2"},
|
||||
{file = "MarkupSafe-2.1.2-cp38-cp38-win_amd64.whl", hash = "sha256:bb06feb762bade6bf3c8b844462274db0c76acc95c52abe8dbed28ae3d44a147"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:99625a92da8229df6d44335e6fcc558a5037dd0a760e11d84be2260e6f37002f"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8bca7e26c1dd751236cfb0c6c72d4ad61d986e9a41bbf76cb445f69488b2a2bd"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40627dcf047dadb22cd25ea7ecfe9cbf3bbbad0482ee5920b582f3809c97654f"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40dfd3fefbef579ee058f139733ac336312663c6706d1163b82b3003fb1925c4"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:090376d812fb6ac5f171e5938e82e7f2d7adc2b629101cec0db8b267815c85e2"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2e7821bffe00aa6bd07a23913b7f4e01328c3d5cc0b40b36c0bd81d362faeb65"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:c0a33bc9f02c2b17c3ea382f91b4db0e6cde90b63b296422a939886a7a80de1c"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:b8526c6d437855442cdd3d87eede9c425c4445ea011ca38d937db299382e6fa3"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-win32.whl", hash = "sha256:137678c63c977754abe9086a3ec011e8fd985ab90631145dfb9294ad09c102a7"},
|
||||
{file = "MarkupSafe-2.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:0576fe974b40a400449768941d5d0858cc624e3249dfd1e0c33674e5c7ca7aed"},
|
||||
{file = "MarkupSafe-2.1.2.tar.gz", hash = "sha256:abcabc8c2b26036d62d4c746381a6f7cf60aafcc653198ad678306986b09450d"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "marshmallow"
|
||||
version = "3.19.0"
|
||||
|
|
@ -3082,7 +3160,7 @@ name = "opentelemetry-api"
|
|||
version = "1.18.0"
|
||||
description = "OpenTelemetry Python API"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_api-1.18.0-py3-none-any.whl", hash = "sha256:d05bcc94ec239fd76fd90d784c5e3ad081a8a1ac2ffc8a2c83a49ace052d1492"},
|
||||
|
|
@ -3099,7 +3177,7 @@ name = "opentelemetry-exporter-otlp"
|
|||
version = "1.18.0"
|
||||
description = "OpenTelemetry Collector Exporters"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_exporter_otlp-1.18.0-py3-none-any.whl", hash = "sha256:2b8d18aa3f8fa360df2fe6c274132cf38939a02f8aa621d6ed060a920aa9e4c6"},
|
||||
|
|
@ -3115,7 +3193,7 @@ name = "opentelemetry-exporter-otlp-proto-common"
|
|||
version = "1.18.0"
|
||||
description = "OpenTelemetry Protobuf encoding"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_exporter_otlp_proto_common-1.18.0-py3-none-any.whl", hash = "sha256:276073ccc8c6e6570fe05ca8ca0de77d662bc89bc614ec8bfbc855112f7e25e3"},
|
||||
|
|
@ -3130,7 +3208,7 @@ name = "opentelemetry-exporter-otlp-proto-grpc"
|
|||
version = "1.18.0"
|
||||
description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_exporter_otlp_proto_grpc-1.18.0-py3-none-any.whl", hash = "sha256:c773bc9df2c9d6464f0d5936963399b2fc440f0616c1277f29512d540ad7e0a2"},
|
||||
|
|
@ -3155,7 +3233,7 @@ name = "opentelemetry-exporter-otlp-proto-http"
|
|||
version = "1.18.0"
|
||||
description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_exporter_otlp_proto_http-1.18.0-py3-none-any.whl", hash = "sha256:c22110705473f1c61bd4d74ded3b8bd3fac66ffbe7d9ba376267d8539919ed90"},
|
||||
|
|
@ -3180,7 +3258,7 @@ name = "opentelemetry-exporter-prometheus"
|
|||
version = "1.12.0rc1"
|
||||
description = "Prometheus Metric Exporter for OpenTelemetry"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "opentelemetry-exporter-prometheus-1.12.0rc1.tar.gz", hash = "sha256:f10c6c243d69d5b63f755885b36a4ce8ef2cdf3e737c4e6bf00f32e87668f0a9"},
|
||||
|
|
@ -3197,7 +3275,7 @@ name = "opentelemetry-instrumentation"
|
|||
version = "0.39b0"
|
||||
description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_instrumentation-0.39b0-py3-none-any.whl", hash = "sha256:fcfd74413159fe797e343104f7e85a3f8146713634debcac10a057ac7f1eb011"},
|
||||
|
|
@ -3214,7 +3292,7 @@ name = "opentelemetry-instrumentation-aiohttp-client"
|
|||
version = "0.39b0"
|
||||
description = "OpenTelemetry aiohttp client instrumentation"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_instrumentation_aiohttp_client-0.39b0-py3-none-any.whl", hash = "sha256:315adf314f35532677b7ae2abd9a663ec86df7183594605592f0e89e599d86ca"},
|
||||
|
|
@ -3237,7 +3315,7 @@ name = "opentelemetry-instrumentation-asgi"
|
|||
version = "0.39b0"
|
||||
description = "ASGI instrumentation for OpenTelemetry"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_instrumentation_asgi-0.39b0-py3-none-any.whl", hash = "sha256:cb9cbf56e32be12b0e5e70c21cf27999f10920afc73110457f4e4b0ec4078c5f"},
|
||||
|
|
@ -3260,7 +3338,7 @@ name = "opentelemetry-instrumentation-fastapi"
|
|||
version = "0.39b0"
|
||||
description = "OpenTelemetry FastAPI Instrumentation"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_instrumentation_fastapi-0.39b0-py3-none-any.whl", hash = "sha256:33223b46393ef63229d35c4e0903e900674d3dfc65ada49fbfd51db8742295cb"},
|
||||
|
|
@ -3283,7 +3361,7 @@ name = "opentelemetry-instrumentation-grpc"
|
|||
version = "0.39b0"
|
||||
description = "OpenTelemetry gRPC instrumentation"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_instrumentation_grpc-0.39b0-py3-none-any.whl", hash = "sha256:1ab7a1e4a43efd8e827d1666065253fdc4dca76ca7bcf43417fe7523999e3145"},
|
||||
|
|
@ -3306,7 +3384,7 @@ name = "opentelemetry-proto"
|
|||
version = "1.18.0"
|
||||
description = "OpenTelemetry Python Proto"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_proto-1.18.0-py3-none-any.whl", hash = "sha256:34d1c49283f0246a58761d9322d5a79702a09afda0bb181bb6378ed26862e446"},
|
||||
|
|
@ -3321,7 +3399,7 @@ name = "opentelemetry-sdk"
|
|||
version = "1.18.0"
|
||||
description = "OpenTelemetry Python SDK"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_sdk-1.18.0-py3-none-any.whl", hash = "sha256:a097cc1e0db6ff33b4d250a9350dc17975d24a22aa667fca2866e60c51306723"},
|
||||
|
|
@ -3339,7 +3417,7 @@ name = "opentelemetry-semantic-conventions"
|
|||
version = "0.39b0"
|
||||
description = "OpenTelemetry Semantic Conventions"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_semantic_conventions-0.39b0-py3-none-any.whl", hash = "sha256:0dd7a9dc0dfde2335f643705bba8f7c44182c797bc208b7601f0b8e8211cfd5c"},
|
||||
|
|
@ -3351,7 +3429,7 @@ name = "opentelemetry-util-http"
|
|||
version = "0.39b0"
|
||||
description = "Web util for OpenTelemetry"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "opentelemetry_util_http-0.39b0-py3-none-any.whl", hash = "sha256:587c3f8931b8a1e910a04fd736e8ff1386fe25c09dc92dc85104679112221483"},
|
||||
|
|
@ -3662,7 +3740,7 @@ name = "prometheus-client"
|
|||
version = "0.17.0"
|
||||
description = "Python client for the Prometheus monitoring system."
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "prometheus_client-0.17.0-py3-none-any.whl", hash = "sha256:a77b708cf083f4d1a3fb3ce5c95b4afa32b9c521ae363354a4a910204ea095ce"},
|
||||
|
|
@ -4156,7 +4234,7 @@ name = "python-jose"
|
|||
version = "3.3.0"
|
||||
description = "JOSE implementation in Python"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "python-jose-3.3.0.tar.gz", hash = "sha256:55779b5e6ad599c6336191246e95eb2293a9ddebd555f796a65f838f07e5d78a"},
|
||||
|
|
@ -4190,7 +4268,7 @@ name = "python-multipart"
|
|||
version = "0.0.6"
|
||||
description = "A streaming multipart parser for Python"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "python_multipart-0.0.6-py3-none-any.whl", hash = "sha256:ee698bab5ef148b0a760751c261902cd096e57e10558e11aca17646b74ee1c18"},
|
||||
|
|
@ -4613,6 +4691,166 @@ files = [
|
|||
{file = "ruff-0.0.254.tar.gz", hash = "sha256:0eb66c9520151d3bd950ea43b3a088618a8e4e10a5014a72687881e6f3606312"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "scikit-learn"
|
||||
version = "1.2.2"
|
||||
description = "A set of python modules for machine learning and data mining"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "scikit-learn-1.2.2.tar.gz", hash = "sha256:8429aea30ec24e7a8c7ed8a3fa6213adf3814a6efbea09e16e0a0c71e1a1a3d7"},
|
||||
{file = "scikit_learn-1.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99cc01184e347de485bf253d19fcb3b1a3fb0ee4cea5ee3c43ec0cc429b6d29f"},
|
||||
{file = "scikit_learn-1.2.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e6e574db9914afcb4e11ade84fab084536a895ca60aadea3041e85b8ac963edb"},
|
||||
{file = "scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fe83b676f407f00afa388dd1fdd49e5c6612e551ed84f3b1b182858f09e987d"},
|
||||
{file = "scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e2642baa0ad1e8f8188917423dd73994bf25429f8893ddbe115be3ca3183584"},
|
||||
{file = "scikit_learn-1.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ad66c3848c0a1ec13464b2a95d0a484fd5b02ce74268eaa7e0c697b904f31d6c"},
|
||||
{file = "scikit_learn-1.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:dfeaf8be72117eb61a164ea6fc8afb6dfe08c6f90365bde2dc16456e4bc8e45f"},
|
||||
{file = "scikit_learn-1.2.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:fe0aa1a7029ed3e1dcbf4a5bc675aa3b1bc468d9012ecf6c6f081251ca47f590"},
|
||||
{file = "scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:065e9673e24e0dc5113e2dd2b4ca30c9d8aa2fa90f4c0597241c93b63130d233"},
|
||||
{file = "scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf036ea7ef66115e0d49655f16febfa547886deba20149555a41d28f56fd6d3c"},
|
||||
{file = "scikit_learn-1.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:8b0670d4224a3c2d596fd572fb4fa673b2a0ccfb07152688ebd2ea0b8c61025c"},
|
||||
{file = "scikit_learn-1.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9c710ff9f9936ba8a3b74a455ccf0dcf59b230caa1e9ba0223773c490cab1e51"},
|
||||
{file = "scikit_learn-1.2.2-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:2dd3ffd3950e3d6c0c0ef9033a9b9b32d910c61bd06cb8206303fb4514b88a49"},
|
||||
{file = "scikit_learn-1.2.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:44b47a305190c28dd8dd73fc9445f802b6ea716669cfc22ab1eb97b335d238b1"},
|
||||
{file = "scikit_learn-1.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:953236889928d104c2ef14027539f5f2609a47ebf716b8cbe4437e85dce42744"},
|
||||
{file = "scikit_learn-1.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:7f69313884e8eb311460cc2f28676d5e400bd929841a2c8eb8742ae78ebf7c20"},
|
||||
{file = "scikit_learn-1.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8156db41e1c39c69aa2d8599ab7577af53e9e5e7a57b0504e116cc73c39138dd"},
|
||||
{file = "scikit_learn-1.2.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:fe175ee1dab589d2e1033657c5b6bec92a8a3b69103e3dd361b58014729975c3"},
|
||||
{file = "scikit_learn-1.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7d5312d9674bed14f73773d2acf15a3272639b981e60b72c9b190a0cffed5bad"},
|
||||
{file = "scikit_learn-1.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea061bf0283bf9a9f36ea3c5d3231ba2176221bbd430abd2603b1c3b2ed85c89"},
|
||||
{file = "scikit_learn-1.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:6477eed40dbce190f9f9e9d0d37e020815825b300121307942ec2110302b66a3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
joblib = ">=1.1.1"
|
||||
numpy = ">=1.17.3"
|
||||
scipy = ">=1.3.2"
|
||||
threadpoolctl = ">=2.0.0"
|
||||
|
||||
[package.extras]
|
||||
benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
|
||||
docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
|
||||
examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
|
||||
tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=5.3.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "scipy"
|
||||
version = "1.10.1"
|
||||
description = "Fundamental algorithms for scientific computing in Python"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "<3.12,>=3.8"
|
||||
files = [
|
||||
{file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"},
|
||||
{file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.19.5,<1.27.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
|
||||
doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
|
||||
test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
||||
|
||||
[[package]]
|
||||
name = "sentence-transformers"
|
||||
version = "2.2.2"
|
||||
description = "Multilingual text embeddings"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6.0"
|
||||
files = [
|
||||
{file = "sentence-transformers-2.2.2.tar.gz", hash = "sha256:dbc60163b27de21076c9a30d24b5b7b6fa05141d68cf2553fa9a77bf79a29136"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
huggingface-hub = ">=0.4.0"
|
||||
nltk = "*"
|
||||
numpy = "*"
|
||||
scikit-learn = "*"
|
||||
scipy = "*"
|
||||
sentencepiece = "*"
|
||||
torch = ">=1.6.0"
|
||||
torchvision = "*"
|
||||
tqdm = "*"
|
||||
transformers = ">=4.6.0,<5.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "sentencepiece"
|
||||
version = "0.1.99"
|
||||
description = "SentencePiece python wrapper"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0eb528e70571b7c02723e5804322469b82fe7ea418c96051d0286c0fa028db73"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:77d7fafb2c4e4659cbdf303929503f37a26eabc4ff31d3a79bf1c5a1b338caa7"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:be9cf5b9e404c245aeb3d3723c737ba7a8f5d4ba262ef233a431fa6c45f732a0"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:baed1a26464998f9710d20e52607c29ffd4293e7c71c6a1f83f51ad0911ec12c"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9832f08bb372d4c8b567612f8eab9e36e268dff645f1c28f9f8e851be705f6d1"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:019e7535108e309dae2b253a75834fc3128240aa87c00eb80732078cdc182588"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-win32.whl", hash = "sha256:fa16a830416bb823fa2a52cbdd474d1f7f3bba527fd2304fb4b140dad31bb9bc"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-win_amd64.whl", hash = "sha256:14b0eccb7b641d4591c3e12ae44cab537d68352e4d3b6424944f0c447d2348d5"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6d3c56f24183a1e8bd61043ff2c58dfecdc68a5dd8955dc13bab83afd5f76b81"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ed6ea1819fd612c989999e44a51bf556d0ef6abfb553080b9be3d347e18bcfb7"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2a0260cd1fb7bd8b4d4f39dc2444a8d5fd4e0a0c4d5c899810ef1abf99b2d45"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a1abff4d1ff81c77cac3cc6fefa34fa4b8b371e5ee51cb7e8d1ebc996d05983"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:004e6a621d4bc88978eecb6ea7959264239a17b70f2cbc348033d8195c9808ec"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db361e03342c41680afae5807590bc88aa0e17cfd1a42696a160e4005fcda03b"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-win32.whl", hash = "sha256:2d95e19168875b70df62916eb55428a0cbcb834ac51d5a7e664eda74def9e1e0"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-win_amd64.whl", hash = "sha256:f90d73a6f81248a909f55d8e6ef56fec32d559e1e9af045f0b0322637cb8e5c7"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:62e24c81e74bd87a6e0d63c51beb6527e4c0add67e1a17bac18bcd2076afcfeb"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:57efcc2d51caff20d9573567d9fd3f854d9efe613ed58a439c78c9f93101384a"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6a904c46197993bd1e95b93a6e373dca2f170379d64441041e2e628ad4afb16f"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d89adf59854741c0d465f0e1525b388c0d174f611cc04af54153c5c4f36088c4"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-win32.whl", hash = "sha256:47c378146928690d1bc106fdf0da768cebd03b65dd8405aa3dd88f9c81e35dba"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-win_amd64.whl", hash = "sha256:9ba142e7a90dd6d823c44f9870abdad45e6c63958eb60fe44cca6828d3b69da2"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b7b1a9ae4d7c6f1f867e63370cca25cc17b6f4886729595b885ee07a58d3cec3"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0f644c9d4d35c096a538507b2163e6191512460035bf51358794a78515b74f7"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c8843d23a0f686d85e569bd6dcd0dd0e0cbc03731e63497ca6d5bacd18df8b85"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33e6f690a1caebb4867a2e367afa1918ad35be257ecdb3455d2bbd787936f155"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-win32.whl", hash = "sha256:8a321866c2f85da7beac74a824b4ad6ddc2a4c9bccd9382529506d48f744a12c"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-win_amd64.whl", hash = "sha256:c42f753bcfb7661c122a15b20be7f684b61fc8592c89c870adf52382ea72262d"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:85b476406da69c70586f0bb682fcca4c9b40e5059814f2db92303ea4585c650c"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cfbcfe13c69d3f87b7fcd5da168df7290a6d006329be71f90ba4f56bc77f8561"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:445b0ec381af1cd4eef95243e7180c63d9c384443c16c4c47a28196bd1cda937"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6890ea0f2b4703f62d0bf27932e35808b1f679bdb05c7eeb3812b935ba02001"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fb71af492b0eefbf9f2501bec97bcd043b6812ab000d119eaf4bd33f9e283d03"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:27b866b5bd3ddd54166bbcbf5c8d7dd2e0b397fac8537991c7f544220b1f67bc"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-win32.whl", hash = "sha256:b133e8a499eac49c581c3c76e9bdd08c338cc1939e441fee6f92c0ccb5f1f8be"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-win_amd64.whl", hash = "sha256:0eaf3591dd0690a87f44f4df129cf8d05d8a4029b5b6709b489b8e27f9a9bcff"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:38efeda9bbfb55052d482a009c6a37e52f42ebffcea9d3a98a61de7aee356a28"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6c030b081dc1e1bcc9fadc314b19b740715d3d566ad73a482da20d7d46fd444c"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:84dbe53e02e4f8a2e45d2ac3e430d5c83182142658e25edd76539b7648928727"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b0f55d0a0ee1719b4b04221fe0c9f0c3461dc3dabd77a035fa2f4788eb3ef9a"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18e800f206cd235dc27dc749299e05853a4e4332e8d3dfd81bf13d0e5b9007d9"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ae1c40cda8f9d5b0423cfa98542735c0235e7597d79caf318855cdf971b2280"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-win32.whl", hash = "sha256:c84ce33af12ca222d14a1cdd37bd76a69401e32bc68fe61c67ef6b59402f4ab8"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-win_amd64.whl", hash = "sha256:350e5c74d739973f1c9643edb80f7cc904dc948578bcb1d43c6f2b173e5d18dd"},
|
||||
{file = "sentencepiece-0.1.99.tar.gz", hash = "sha256:189c48f5cb2949288f97ccdb97f0473098d9c3dcf5a3d99d4eabe719ec27297f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "67.8.0"
|
||||
|
|
@ -4834,6 +5072,18 @@ typing-extensions = ">=4.4.0,<5.0.0"
|
|||
[package.extras]
|
||||
dev = ["aiohttp (>=3.8.1)", "click (>=8.1.2)", "msgpack (>=1.0.3)"]
|
||||
|
||||
[[package]]
|
||||
name = "threadpoolctl"
|
||||
version = "3.1.0"
|
||||
description = "threadpoolctl"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"},
|
||||
{file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tiktoken"
|
||||
version = "0.3.3"
|
||||
|
|
@ -4959,6 +5209,85 @@ files = [
|
|||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "torch"
|
||||
version = "2.0.1"
|
||||
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "torch-2.0.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:8ced00b3ba471856b993822508f77c98f48a458623596a4c43136158781e306a"},
|
||||
{file = "torch-2.0.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:359bfaad94d1cda02ab775dc1cc386d585712329bb47b8741607ef6ef4950747"},
|
||||
{file = "torch-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:7c84e44d9002182edd859f3400deaa7410f5ec948a519cc7ef512c2f9b34d2c4"},
|
||||
{file = "torch-2.0.1-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:567f84d657edc5582d716900543e6e62353dbe275e61cdc36eda4929e46df9e7"},
|
||||
{file = "torch-2.0.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:787b5a78aa7917465e9b96399b883920c88a08f4eb63b5a5d2d1a16e27d2f89b"},
|
||||
{file = "torch-2.0.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:e617b1d0abaf6ced02dbb9486803abfef0d581609b09641b34fa315c9c40766d"},
|
||||
{file = "torch-2.0.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:b6019b1de4978e96daa21d6a3ebb41e88a0b474898fe251fd96189587408873e"},
|
||||
{file = "torch-2.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:dbd68cbd1cd9da32fe5d294dd3411509b3d841baecb780b38b3b7b06c7754434"},
|
||||
{file = "torch-2.0.1-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:ef654427d91600129864644e35deea761fb1fe131710180b952a6f2e2207075e"},
|
||||
{file = "torch-2.0.1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:25aa43ca80dcdf32f13da04c503ec7afdf8e77e3a0183dd85cd3e53b2842e527"},
|
||||
{file = "torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:5ef3ea3d25441d3957348f7e99c7824d33798258a2bf5f0f0277cbcadad2e20d"},
|
||||
{file = "torch-2.0.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:0882243755ff28895e8e6dc6bc26ebcf5aa0911ed81b2a12f241fc4b09075b13"},
|
||||
{file = "torch-2.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:f66aa6b9580a22b04d0af54fcd042f52406a8479e2b6a550e3d9f95963e168c8"},
|
||||
{file = "torch-2.0.1-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:1adb60d369f2650cac8e9a95b1d5758e25d526a34808f7448d0bd599e4ae9072"},
|
||||
{file = "torch-2.0.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:1bcffc16b89e296826b33b98db5166f990e3b72654a2b90673e817b16c50e32b"},
|
||||
{file = "torch-2.0.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:e10e1597f2175365285db1b24019eb6f04d53dcd626c735fc502f1e8b6be9875"},
|
||||
{file = "torch-2.0.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:423e0ae257b756bb45a4b49072046772d1ad0c592265c5080070e0767da4e490"},
|
||||
{file = "torch-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:8742bdc62946c93f75ff92da00e3803216c6cce9b132fbca69664ca38cfb3e18"},
|
||||
{file = "torch-2.0.1-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:c62df99352bd6ee5a5a8d1832452110435d178b5164de450831a3a8cc14dc680"},
|
||||
{file = "torch-2.0.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:671a2565e3f63b8fe8e42ae3e36ad249fe5e567435ea27b94edaa672a7d0c416"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
jinja2 = "*"
|
||||
networkx = "*"
|
||||
sympy = "*"
|
||||
typing-extensions = "*"
|
||||
|
||||
[package.extras]
|
||||
opt-einsum = ["opt-einsum (>=3.3)"]
|
||||
|
||||
[[package]]
|
||||
name = "torchvision"
|
||||
version = "0.15.2"
|
||||
description = "image and video datasets and models for torch deep learning"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "torchvision-0.15.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7754088774e810c5672b142a45dcf20b1bd986a5a7da90f8660c43dc43fb850c"},
|
||||
{file = "torchvision-0.15.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37eb138e13f6212537a3009ac218695483a635c404b6cc1d8e0d0d978026a86d"},
|
||||
{file = "torchvision-0.15.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:54143f7cc0797d199b98a53b7d21c3f97615762d4dd17ad45a41c7e80d880e73"},
|
||||
{file = "torchvision-0.15.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:1eefebf5fbd01a95fe8f003d623d941601c94b5cec547b420da89cb369d9cf96"},
|
||||
{file = "torchvision-0.15.2-cp310-cp310-win_amd64.whl", hash = "sha256:96fae30c5ca8423f4b9790df0f0d929748e32718d88709b7b567d2f630c042e3"},
|
||||
{file = "torchvision-0.15.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5f35f6bd5bcc4568e6522e4137fa60fcc72f4fa3e615321c26cd87e855acd398"},
|
||||
{file = "torchvision-0.15.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:757505a0ab2be7096cb9d2bf4723202c971cceddb72c7952a7e877f773de0f8a"},
|
||||
{file = "torchvision-0.15.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:012ad25cfd9019ff9b0714a168727e3845029be1af82296ff1e1482931fa4b80"},
|
||||
{file = "torchvision-0.15.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:b02a7ffeaa61448737f39a4210b8ee60234bda0515a0c0d8562f884454105b0f"},
|
||||
{file = "torchvision-0.15.2-cp311-cp311-win_amd64.whl", hash = "sha256:10be76ceded48329d0a0355ac33da131ee3993ff6c125e4a02ab34b5baa2472c"},
|
||||
{file = "torchvision-0.15.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8f12415b686dba884fb086f53ac803f692be5a5cdd8a758f50812b30fffea2e4"},
|
||||
{file = "torchvision-0.15.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:31211c01f8b8ec33b8a638327b5463212e79a03e43c895f88049f97af1bd12fd"},
|
||||
{file = "torchvision-0.15.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:c55f9889e436f14b4f84a9c00ebad0d31f5b4626f10cf8018e6c676f92a6d199"},
|
||||
{file = "torchvision-0.15.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:9a192f2aa979438f23c20e883980b23d13268ab9f819498774a6d2eb021802c2"},
|
||||
{file = "torchvision-0.15.2-cp38-cp38-win_amd64.whl", hash = "sha256:c07071bc8d02aa8fcdfe139ab6a1ef57d3b64c9e30e84d12d45c9f4d89fb6536"},
|
||||
{file = "torchvision-0.15.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4790260fcf478a41c7ecc60a6d5200a88159fdd8d756e9f29f0f8c59c4a67a68"},
|
||||
{file = "torchvision-0.15.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:987ab62225b4151a11e53fd06150c5258ced24ac9d7c547e0e4ab6fbca92a5ce"},
|
||||
{file = "torchvision-0.15.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:63df26673e66cba3f17e07c327a8cafa3cce98265dbc3da329f1951d45966838"},
|
||||
{file = "torchvision-0.15.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:b85f98d4cc2f72452f6792ab4463a3541bc5678a8cdd3da0e139ba2fe8b56d42"},
|
||||
{file = "torchvision-0.15.2-cp39-cp39-win_amd64.whl", hash = "sha256:07c462524cc1bba5190c16a9d47eac1fca024d60595a310f23c00b4ffff18b30"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = "*"
|
||||
pillow = ">=5.3.0,<8.3.0 || >=8.4.0"
|
||||
requests = "*"
|
||||
torch = "2.0.1"
|
||||
|
||||
[package.extras]
|
||||
scipy = ["scipy"]
|
||||
|
||||
[[package]]
|
||||
name = "tornado"
|
||||
version = "6.3.2"
|
||||
|
|
@ -5017,6 +5346,74 @@ files = [
|
|||
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
|
||||
test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.29.0"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "transformers-4.29.0-py3-none-any.whl", hash = "sha256:51f89cbdd515dffac38c002277511d004e1a12a284ab852a4d5641430a409d1f"},
|
||||
{file = "transformers-4.29.0.tar.gz", hash = "sha256:b5dff9ce3708dc6639d892435fa69c51dee5c89870f888fa59ef0fc3baa3d8c7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
huggingface-hub = ">=0.11.0,<1.0"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
pyyaml = ">=5.1"
|
||||
regex = "!=2019.12.17"
|
||||
requests = "*"
|
||||
tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
|
||||
tqdm = ">=4.27"
|
||||
|
||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.19.0)"]
|
||||
all = ["Pillow", "accelerate (>=0.19.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.6.9)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "numba (<0.57.0)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
|
||||
audio = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.19.0)", "deepspeed (>=0.8.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.19.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.8.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.19.0)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.6.9)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "numba (<0.57.0)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "numba (<0.57.0)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.19.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "numba (<0.57.0)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
docs = ["Pillow", "accelerate (>=0.19.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.6.9)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "numba (<0.57.0)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
|
||||
docs-specific = ["hf-doc-builder"]
|
||||
fairscale = ["fairscale (>0.3)"]
|
||||
flax = ["flax (>=0.4.1,<=0.6.9)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8,<=0.1.4)"]
|
||||
flax-speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
integrations = ["optuna", "ray[tune]", "sigopt"]
|
||||
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.6)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241,<=0.0.259)", "urllib3 (<2.0.0)"]
|
||||
ray = ["ray[tune]"]
|
||||
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf (<=3.20.2)", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"]
|
||||
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
timm = ["timm"]
|
||||
tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
|
||||
torch = ["accelerate (>=0.19.0)", "torch (>=1.9,!=1.12.0)"]
|
||||
torch-speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.11.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.2)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow"]
|
||||
|
||||
[[package]]
|
||||
name = "typer"
|
||||
version = "0.7.0"
|
||||
|
|
@ -5374,7 +5771,7 @@ name = "websocket-client"
|
|||
version = "1.5.2"
|
||||
description = "WebSocket client for Python with low level API options"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "websocket-client-1.5.2.tar.gz", hash = "sha256:c7d67c13b928645f259d9b847ab5b57fd2d127213ca41ebd880de1f553b7c23b"},
|
||||
|
|
@ -5736,4 +6133,4 @@ deploy = ["langchain-serve"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<3.12"
|
||||
content-hash = "ba932035d31d7784a0df6690b2078f1f4a0f37f63b87e7f211c738807b46b313"
|
||||
content-hash = "abbb024a67e3326821999f9a0a6164b13e877b0b72d1cd6912ca694c83fffa22"
|
||||
|
|
|
|||
|
|
@ -53,6 +53,8 @@ langchain-serve = { version = "^0.0.33", optional = true }
|
|||
qdrant-client = "^1.2.0"
|
||||
websockets = "^11.0.3"
|
||||
weaviate-client = "^3.19.2"
|
||||
jina = "3.15.2"
|
||||
sentence-transformers = "^2.2.2"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
black = "^23.1.0"
|
||||
|
|
|
|||
|
|
@ -44,6 +44,8 @@ documentloaders:
|
|||
- ReadTheDocsLoader
|
||||
embeddings:
|
||||
- OpenAIEmbeddings
|
||||
- HuggingFaceEmbeddings
|
||||
|
||||
llms:
|
||||
- OpenAI
|
||||
# - AzureOpenAI
|
||||
|
|
|
|||
|
|
@ -5,6 +5,13 @@ from langflow.template.frontend_node.base import FrontendNode
|
|||
|
||||
|
||||
class LLMFrontendNode(FrontendNode):
|
||||
@staticmethod
|
||||
def format_openai_field(field: TemplateField):
|
||||
if "openai" in field.name.lower():
|
||||
field.display_name = (
|
||||
field.name.title().replace("Openai", "OpenAI").replace("_", " ")
|
||||
).replace("Api", "API")
|
||||
|
||||
@staticmethod
|
||||
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
|
||||
display_names_dict = {
|
||||
|
|
@ -39,3 +46,5 @@ class LLMFrontendNode(FrontendNode):
|
|||
elif field.name in ["model_name", "temperature"]:
|
||||
field.advanced = False
|
||||
field.show = True
|
||||
|
||||
LLMFrontendNode.format_openai_field(field)
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue