Adds Join The Waitlist button, Vectara, Metaphor in Beta and other fixes (#744)
This commit is contained in:
Gabriel Luiz Freitas Almeida
GitHub
commit
79858561a6
14 changed files with 277 additions and 139 deletions
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@ -65,7 +65,6 @@ class DocumentProcessor(CustomComponent):
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light: "img/document_processor.png",
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}}
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style={{
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width: "40%",
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margin: "0 auto",
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display: "flex",
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justifyContent: "center",
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230
poetry.lock
generated
230
poetry.lock
generated
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@ -2,13 +2,13 @@
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[[package]]
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name = "aiofiles"
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version = "23.1.0"
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version = "23.2.1"
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description = "File support for asyncio."
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optional = false
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python-versions = ">=3.7,<4.0"
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python-versions = ">=3.7"
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files = [
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{file = "aiofiles-23.1.0-py3-none-any.whl", hash = "sha256:9312414ae06472eb6f1d163f555e466a23aed1c8f60c30cccf7121dba2e53eb2"},
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{file = "aiofiles-23.1.0.tar.gz", hash = "sha256:edd247df9a19e0db16534d4baaf536d6609a43e1de5401d7a4c1c148753a1635"},
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{file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"},
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{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
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]
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[[package]]
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@ -1065,13 +1065,13 @@ files = [
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[[package]]
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name = "dnspython"
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version = "2.4.1"
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version = "2.4.2"
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description = "DNS toolkit"
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optional = false
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python-versions = ">=3.8,<4.0"
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files = [
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{file = "dnspython-2.4.1-py3-none-any.whl", hash = "sha256:5b7488477388b8c0b70a8ce93b227c5603bc7b77f1565afe8e729c36c51447d7"},
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{file = "dnspython-2.4.1.tar.gz", hash = "sha256:c33971c79af5be968bb897e95c2448e11a645ee84d93b265ce0b7aabe5dfdca8"},
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{file = "dnspython-2.4.2-py3-none-any.whl", hash = "sha256:57c6fbaaeaaf39c891292012060beb141791735dbb4004798328fc2c467402d8"},
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{file = "dnspython-2.4.2.tar.gz", hash = "sha256:8dcfae8c7460a2f84b4072e26f1c9f4101ca20c071649cb7c34e8b6a93d58984"},
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]
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[package.extras]
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@ -2779,13 +2779,13 @@ i18n = ["Babel (>=2.7)"]
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[[package]]
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name = "joblib"
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version = "1.3.1"
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version = "1.3.2"
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description = "Lightweight pipelining with Python functions"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "joblib-1.3.1-py3-none-any.whl", hash = "sha256:89cf0529520e01b3de7ac7b74a8102c90d16d54c64b5dd98cafcd14307fdf915"},
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{file = "joblib-1.3.1.tar.gz", hash = "sha256:1f937906df65329ba98013dc9692fe22a4c5e4a648112de500508b18a21b41e3"},
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{file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
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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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@ -2909,12 +2909,12 @@ langchain = ">=0.0.239"
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[[package]]
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name = "langchain-serve"
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version = "0.0.59"
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version = "0.0.60"
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description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
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optional = true
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python-versions = "*"
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files = [
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{file = "langchain-serve-0.0.59.tar.gz", hash = "sha256:28ff4ba1b640223158413296ac5b9198eac7cbd206d3386855ad00066a9f91d6"},
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{file = "langchain-serve-0.0.60.tar.gz", hash = "sha256:bfcc2e7c2a3cd3b4cde5ff45043cc9c8d437704941b02d166185d8334a120561"},
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]
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[package.dependencies]
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@ -2934,13 +2934,13 @@ test = ["psutil", "pytest", "pytest-asyncio"]
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[[package]]
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name = "langsmith"
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version = "0.0.19"
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version = "0.0.20"
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description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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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 = "langsmith-0.0.19-py3-none-any.whl", hash = "sha256:ae240030fd0b98e9467fbf19ac6d58a0a4ffcc1db8462625141dae6178e62c68"},
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{file = "langsmith-0.0.19.tar.gz", hash = "sha256:e91a2cd101456e2f8d6015c9ea371d6556eb6072a1b20d4793479855163ae28f"},
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{file = "langsmith-0.0.20-py3-none-any.whl", hash = "sha256:c393a45f6da79c7dfbeb778eebce660020d1c26ec9579fe997c8455a6765e4b4"},
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{file = "langsmith-0.0.20.tar.gz", hash = "sha256:825056a6ee4583e3dd473e7f47ef45e85841517d84162fbb164771aae4aa391d"},
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]
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[package.dependencies]
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@ -3315,6 +3315,20 @@ files = [
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{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
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]
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[[package]]
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name = "metaphor-python"
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version = "0.1.11"
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description = "A Python package for the Metaphor API."
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optional = false
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python-versions = "*"
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files = [
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{file = "metaphor-python-0.1.11.tar.gz", hash = "sha256:80fd993c44cc9d453d99eb65b95147d305f542fdd6fda699e3852e3100beb6ec"},
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{file = "metaphor_python-0.1.11-py3-none-any.whl", hash = "sha256:0d759ecdf73492a4bafd404d0444935c172bcc4a89334f4f6780863ba488b238"},
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]
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[package.dependencies]
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requests = "*"
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[[package]]
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name = "monotonic"
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version = "1.6"
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@ -5557,99 +5571,99 @@ websockets = ">=10.3,<11.0"
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[[package]]
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name = "regex"
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version = "2023.6.3"
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version = "2023.8.8"
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description = "Alternative regular expression module, to replace re."
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optional = false
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python-versions = ">=3.6"
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||||
{file = "regex-2023.8.8-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f0ccf3e01afeb412a1a9993049cb160d0352dba635bbca7762b2dc722aa5742a"},
|
||||
{file = "regex-2023.8.8-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:2e9216e0d2cdce7dbc9be48cb3eacb962740a09b011a116fd7af8c832ab116ca"},
|
||||
{file = "regex-2023.8.8-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:5cd9cd7170459b9223c5e592ac036e0704bee765706445c353d96f2890e816c8"},
|
||||
{file = "regex-2023.8.8-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:4873ef92e03a4309b3ccd8281454801b291b689f6ad45ef8c3658b6fa761d7ac"},
|
||||
{file = "regex-2023.8.8-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:239c3c2a339d3b3ddd51c2daef10874410917cd2b998f043c13e2084cb191684"},
|
||||
{file = "regex-2023.8.8-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1005c60ed7037be0d9dea1f9c53cc42f836188227366370867222bda4c3c6bd7"},
|
||||
{file = "regex-2023.8.8-cp37-cp37m-win32.whl", hash = "sha256:e6bd1e9b95bc5614a7a9c9c44fde9539cba1c823b43a9f7bc11266446dd568e3"},
|
||||
{file = "regex-2023.8.8-cp37-cp37m-win_amd64.whl", hash = "sha256:9a96edd79661e93327cfeac4edec72a4046e14550a1d22aa0dd2e3ca52aec921"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f2181c20ef18747d5f4a7ea513e09ea03bdd50884a11ce46066bb90fe4213675"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a2ad5add903eb7cdde2b7c64aaca405f3957ab34f16594d2b78d53b8b1a6a7d6"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9233ac249b354c54146e392e8a451e465dd2d967fc773690811d3a8c240ac601"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:920974009fb37b20d32afcdf0227a2e707eb83fe418713f7a8b7de038b870d0b"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd2b6c5dfe0929b6c23dde9624483380b170b6e34ed79054ad131b20203a1a63"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96979d753b1dc3b2169003e1854dc67bfc86edf93c01e84757927f810b8c3c93"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2ae54a338191e1356253e7883d9d19f8679b6143703086245fb14d1f20196be9"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2162ae2eb8b079622176a81b65d486ba50b888271302190870b8cc488587d280"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:c884d1a59e69e03b93cf0dfee8794c63d7de0ee8f7ffb76e5f75be8131b6400a"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:cf9273e96f3ee2ac89ffcb17627a78f78e7516b08f94dc435844ae72576a276e"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:83215147121e15d5f3a45d99abeed9cf1fe16869d5c233b08c56cdf75f43a504"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:3f7454aa427b8ab9101f3787eb178057c5250478e39b99540cfc2b889c7d0586"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f0640913d2c1044d97e30d7c41728195fc37e54d190c5385eacb52115127b882"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-win32.whl", hash = "sha256:0c59122ceccb905a941fb23b087b8eafc5290bf983ebcb14d2301febcbe199c7"},
|
||||
{file = "regex-2023.8.8-cp38-cp38-win_amd64.whl", hash = "sha256:c12f6f67495ea05c3d542d119d270007090bad5b843f642d418eb601ec0fa7be"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:82cd0a69cd28f6cc3789cc6adeb1027f79526b1ab50b1f6062bbc3a0ccb2dbc3"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:bb34d1605f96a245fc39790a117ac1bac8de84ab7691637b26ab2c5efb8f228c"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:987b9ac04d0b38ef4f89fbc035e84a7efad9cdd5f1e29024f9289182c8d99e09"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9dd6082f4e2aec9b6a0927202c85bc1b09dcab113f97265127c1dc20e2e32495"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7eb95fe8222932c10d4436e7a6f7c99991e3fdd9f36c949eff16a69246dee2dc"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7098c524ba9f20717a56a8d551d2ed491ea89cbf37e540759ed3b776a4f8d6eb"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4b694430b3f00eb02c594ff5a16db30e054c1b9589a043fe9174584c6efa8033"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b2aeab3895d778155054abea5238d0eb9a72e9242bd4b43f42fd911ef9a13470"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:988631b9d78b546e284478c2ec15c8a85960e262e247b35ca5eaf7ee22f6050a"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:67ecd894e56a0c6108ec5ab1d8fa8418ec0cff45844a855966b875d1039a2e34"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:14898830f0a0eb67cae2bbbc787c1a7d6e34ecc06fbd39d3af5fe29a4468e2c9"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:f2200e00b62568cfd920127782c61bc1c546062a879cdc741cfcc6976668dfcf"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9691a549c19c22d26a4f3b948071e93517bdf86e41b81d8c6ac8a964bb71e5a6"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-win32.whl", hash = "sha256:6ab2ed84bf0137927846b37e882745a827458689eb969028af8032b1b3dac78e"},
|
||||
{file = "regex-2023.8.8-cp39-cp39-win_amd64.whl", hash = "sha256:5543c055d8ec7801901e1193a51570643d6a6ab8751b1f7dd9af71af467538bb"},
|
||||
{file = "regex-2023.8.8.tar.gz", hash = "sha256:fcbdc5f2b0f1cd0f6a56cdb46fe41d2cce1e644e3b68832f3eeebc5fb0f7712e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -6652,13 +6666,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.65.1"
|
||||
version = "4.66.0"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tqdm-4.65.1-py3-none-any.whl", hash = "sha256:16181c62ad2c6f8f6f29876e66322faad1c7fd3cc70aa9cc25ff63e50d1da031"},
|
||||
{file = "tqdm-4.65.1.tar.gz", hash = "sha256:2cb0075cc5269f8edac40bdeb757cc36ab5b6648caf014822b67e1a49fba141d"},
|
||||
{file = "tqdm-4.66.0-py3-none-any.whl", hash = "sha256:39d459c7140b7890174e69d4d68d6291bc774a55b4bc5d93c0b760798ac5a03e"},
|
||||
{file = "tqdm-4.66.0.tar.gz", hash = "sha256:cc6e7e52202d894e66632c5c8a9330bd0e3ff35d2965c93ca832114a3d865362"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -7579,4 +7593,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<3.11"
|
||||
content-hash = "cfce7822aedd150c0bda5f0dbf4ada3a3d80d0a7d968c081a5dfd9a61d5088ad"
|
||||
content-hash = "53bb67a463c4ad0d3dd30c89e30750fc31be5530ee54539d4df34fd82ecf7bc1"
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
[tool.poetry]
|
||||
name = "langflow"
|
||||
version = "0.4.5"
|
||||
version = "0.4.6"
|
||||
description = "A Python package with a built-in web application"
|
||||
authors = ["Logspace <contact@logspace.ai>"]
|
||||
maintainers = [
|
||||
|
|
@ -78,6 +78,7 @@ psycopg = "^3.1.9"
|
|||
psycopg-binary = "^3.1.9"
|
||||
fastavro = "^1.8.0"
|
||||
langchain-experimental = "^0.0.8"
|
||||
metaphor-python = "^0.1.11"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
black = "^23.1.0"
|
||||
|
|
|
|||
56
src/backend/langflow/components/toolkits/Metaphor.py
Normal file
56
src/backend/langflow/components/toolkits/Metaphor.py
Normal file
|
|
@ -0,0 +1,56 @@
|
|||
from typing import List, Union
|
||||
from langflow import CustomComponent
|
||||
|
||||
from metaphor_python import Metaphor # type: ignore
|
||||
from langchain.tools import Tool
|
||||
from langchain.agents import tool
|
||||
from langchain.agents.agent_toolkits.base import BaseToolkit
|
||||
|
||||
|
||||
class MetaphorToolkit(CustomComponent):
|
||||
display_name: str = "Metaphor"
|
||||
description: str = "Metaphor Toolkit"
|
||||
documentation = (
|
||||
"https://python.langchain.com/docs/integrations/tools/metaphor_search"
|
||||
)
|
||||
beta = True
|
||||
# api key should be password = True
|
||||
field_config = {
|
||||
"metaphor_api_key": {"display_name": "Metaphor API Key", "password": True},
|
||||
"code": {"advanced": True},
|
||||
}
|
||||
|
||||
def build(
|
||||
self,
|
||||
metaphor_api_key: str,
|
||||
use_autoprompt: bool = True,
|
||||
search_num_results: int = 5,
|
||||
similar_num_results: int = 5,
|
||||
) -> Union[Tool, BaseToolkit]:
|
||||
# If documents, then we need to create a Vectara instance using .from_documents
|
||||
client = Metaphor(api_key=metaphor_api_key)
|
||||
|
||||
@tool
|
||||
def search(query: str):
|
||||
"""Call search engine with a query."""
|
||||
return client.search(
|
||||
query, use_autoprompt=use_autoprompt, num_results=search_num_results
|
||||
)
|
||||
|
||||
@tool
|
||||
def get_contents(ids: List[str]):
|
||||
"""Get contents of a webpage.
|
||||
|
||||
The ids passed in should be a list of ids as fetched from `search`.
|
||||
"""
|
||||
return client.get_contents(ids)
|
||||
|
||||
@tool
|
||||
def find_similar(url: str):
|
||||
"""Get search results similar to a given URL.
|
||||
|
||||
The url passed in should be a URL returned from `search`
|
||||
"""
|
||||
return client.find_similar(url, num_results=similar_num_results)
|
||||
|
||||
return [search, get_contents, find_similar] # type: ignore
|
||||
0
src/backend/langflow/components/toolkits/__init__.py
Normal file
0
src/backend/langflow/components/toolkits/__init__.py
Normal file
50
src/backend/langflow/components/vectorstores/Vectara.py
Normal file
50
src/backend/langflow/components/vectorstores/Vectara.py
Normal file
|
|
@ -0,0 +1,50 @@
|
|||
from typing import Optional, Union
|
||||
from langflow import CustomComponent
|
||||
|
||||
from langchain.vectorstores import Vectara
|
||||
from langchain.schema import Document
|
||||
from langchain.vectorstores.base import VectorStore
|
||||
from langchain.schema import BaseRetriever
|
||||
from langchain.embeddings.base import Embeddings
|
||||
|
||||
|
||||
class VectaraComponent(CustomComponent):
|
||||
display_name: str = "Vectara"
|
||||
description: str = "Implementation of Vector Store using Vectara"
|
||||
documentation = (
|
||||
"https://python.langchain.com/docs/integrations/vectorstores/vectara"
|
||||
)
|
||||
beta = True
|
||||
# api key should be password = True
|
||||
field_config = {
|
||||
"vectara_customer_id": {"display_name": "Vectara Customer ID"},
|
||||
"vectara_corpus_id": {"display_name": "Vectara Corpus ID"},
|
||||
"vectara_api_key": {"display_name": "Vectara API Key", "password": True},
|
||||
"code": {"show": False},
|
||||
"documents": {"display_name": "Documents"},
|
||||
"embedding": {"display_name": "Embedding"},
|
||||
}
|
||||
|
||||
def build(
|
||||
self,
|
||||
vectara_customer_id: str,
|
||||
vectara_corpus_id: str,
|
||||
vectara_api_key: str,
|
||||
embedding: Optional[Embeddings] = None,
|
||||
documents: Optional[Document] = None,
|
||||
) -> Union[VectorStore, BaseRetriever]:
|
||||
# If documents, then we need to create a Vectara instance using .from_documents
|
||||
if documents is not None and embedding is not None:
|
||||
return Vectara.from_documents(
|
||||
documents=documents, # type: ignore
|
||||
vectara_customer_id=vectara_customer_id,
|
||||
vectara_corpus_id=vectara_corpus_id,
|
||||
vectara_api_key=vectara_api_key,
|
||||
embedding=embedding,
|
||||
)
|
||||
|
||||
return Vectara(
|
||||
vectara_customer_id=vectara_customer_id,
|
||||
vectara_corpus_id=vectara_corpus_id,
|
||||
vectara_api_key=vectara_api_key,
|
||||
)
|
||||
0
src/backend/langflow/components/vectorstores/__init__.py
Normal file
0
src/backend/langflow/components/vectorstores/__init__.py
Normal file
|
|
@ -66,6 +66,9 @@ class Component(BaseModel):
|
|||
elif "beta" in item_name:
|
||||
template_config["beta"] = ast.literal_eval(item_value)
|
||||
|
||||
elif "documentation" in item_name:
|
||||
template_config["documentation"] = ast.literal_eval(item_value)
|
||||
|
||||
return template_config
|
||||
|
||||
def build(self, *args: Any, **kwargs: Any) -> Any:
|
||||
|
|
|
|||
|
|
@ -92,9 +92,9 @@ class CustomComponent(Component, extra=Extra.allow):
|
|||
return build_method["args"]
|
||||
|
||||
@property
|
||||
def get_function_entrypoint_return_type(self) -> str:
|
||||
def get_function_entrypoint_return_type(self) -> List[str]:
|
||||
if not self.code:
|
||||
return ""
|
||||
return []
|
||||
tree = self.get_code_tree(self.code)
|
||||
|
||||
component_classes = [
|
||||
|
|
@ -103,7 +103,7 @@ class CustomComponent(Component, extra=Extra.allow):
|
|||
if self.code_class_base_inheritance in cls["bases"]
|
||||
]
|
||||
if not component_classes:
|
||||
return ""
|
||||
return []
|
||||
|
||||
# Assume the first Component class is the one we're interested in
|
||||
component_class = component_classes[0]
|
||||
|
|
@ -114,11 +114,21 @@ class CustomComponent(Component, extra=Extra.allow):
|
|||
]
|
||||
|
||||
if not build_methods:
|
||||
return ""
|
||||
return []
|
||||
|
||||
build_method = build_methods[0]
|
||||
return_type = build_method["return_type"]
|
||||
if not return_type:
|
||||
return []
|
||||
# If the return type is not a Union, then we just return it as a list
|
||||
if "Union" not in return_type:
|
||||
return [return_type] if return_type in self.return_type_valid_list else []
|
||||
|
||||
return build_method["return_type"]
|
||||
# If the return type is a Union, then we need to parse it
|
||||
return_type = return_type.replace("Union", "").replace("[", "").replace("]", "")
|
||||
return_type = return_type.split(",")
|
||||
return_type = [item.strip() for item in return_type]
|
||||
return [item for item in return_type if item in self.return_type_valid_list]
|
||||
|
||||
@property
|
||||
def get_main_class_name(self):
|
||||
|
|
|
|||
|
|
@ -130,8 +130,8 @@ def initialize_pinecone(class_object: Type[Pinecone], params: dict):
|
|||
|
||||
import pinecone # type: ignore
|
||||
|
||||
pinecone_api_key = params.get("pinecone_api_key")
|
||||
pinecone_env = params.get("pinecone_env")
|
||||
pinecone_api_key = params.pop("pinecone_api_key")
|
||||
pinecone_env = params.pop("pinecone_env")
|
||||
|
||||
if pinecone_api_key is None or pinecone_env is None:
|
||||
if os.getenv("PINECONE_API_KEY") is not None:
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
import ast
|
||||
import contextlib
|
||||
from typing import Any
|
||||
from typing import Any, List
|
||||
from langflow.api.utils import merge_nested_dicts_with_renaming
|
||||
from langflow.interface.agents.base import agent_creator
|
||||
from langflow.interface.chains.base import chain_creator
|
||||
|
|
@ -199,6 +199,9 @@ def update_attributes(frontend_node, template_config):
|
|||
if "beta" in template_config:
|
||||
frontend_node["beta"] = template_config["beta"]
|
||||
|
||||
if "documentation" in template_config:
|
||||
frontend_node["documentation"] = template_config["documentation"]
|
||||
|
||||
|
||||
def build_field_config(custom_component: CustomComponent):
|
||||
"""Build the field configuration for a custom component"""
|
||||
|
|
@ -257,26 +260,27 @@ def get_field_properties(extra_field):
|
|||
return field_name, field_type, field_value, field_required
|
||||
|
||||
|
||||
def add_base_classes(frontend_node, return_type):
|
||||
def add_base_classes(frontend_node, return_types: List[str]):
|
||||
"""Add base classes to the frontend node"""
|
||||
if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail={
|
||||
"error": (
|
||||
"Invalid return type should be one of: "
|
||||
f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}"
|
||||
),
|
||||
"traceback": traceback.format_exc(),
|
||||
},
|
||||
)
|
||||
for return_type in return_types:
|
||||
if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail={
|
||||
"error": (
|
||||
"Invalid return type should be one of: "
|
||||
f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}"
|
||||
),
|
||||
"traceback": traceback.format_exc(),
|
||||
},
|
||||
)
|
||||
|
||||
return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type)
|
||||
base_classes = get_base_classes(return_type_instance)
|
||||
return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type)
|
||||
base_classes = get_base_classes(return_type_instance)
|
||||
|
||||
for base_class in base_classes:
|
||||
if base_class not in CLASSES_TO_REMOVE:
|
||||
frontend_node.get("base_classes").append(base_class)
|
||||
for base_class in base_classes:
|
||||
if base_class not in CLASSES_TO_REMOVE:
|
||||
frontend_node.get("base_classes").append(base_class)
|
||||
|
||||
|
||||
def build_langchain_template_custom_component(custom_component: CustomComponent):
|
||||
|
|
|
|||
|
|
@ -241,7 +241,7 @@ def test_custom_component_get_function_entrypoint_return_type():
|
|||
code=code_default, function_entrypoint_name="build"
|
||||
)
|
||||
return_type = custom_component.get_function_entrypoint_return_type
|
||||
assert return_type == "Document"
|
||||
assert return_type == ["Document"]
|
||||
|
||||
|
||||
def test_custom_component_get_main_class_name():
|
||||
|
|
@ -436,7 +436,7 @@ class MyClass(CustomComponent):
|
|||
|
||||
custom_component = CustomComponent(code=my_code, function_entrypoint_name="build")
|
||||
return_type = custom_component.get_function_entrypoint_return_type
|
||||
assert return_type is None
|
||||
assert return_type == []
|
||||
|
||||
|
||||
def test_custom_component_get_main_class_name_no_main_class():
|
||||
|
|
@ -469,7 +469,7 @@ def test_build_config_no_code():
|
|||
component = CustomComponent(code=None)
|
||||
|
||||
assert component.get_function_entrypoint_args == ""
|
||||
assert component.get_function_entrypoint_return_type == ""
|
||||
assert component.get_function_entrypoint_return_type == []
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
|
|
|
|||
|
|
@ -9,4 +9,5 @@ def test_vectorstores_settings(client: TestClient):
|
|||
assert response.status_code == 200
|
||||
json_response = response.json()
|
||||
vectorstores = json_response["vectorstores"]
|
||||
assert set(vectorstores.keys()) == set(settings.VECTORSTORES)
|
||||
settings_vecs = set(settings.VECTORSTORES)
|
||||
assert all(vs in vectorstores for vs in settings_vecs)
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue