github/privateGPT
1
0
Fork 1
mirror of https://github.com/imartinez/privateGPT.git synced 2025-09-01 15:19:05 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fixed ui.py and added tensorflow in poetry for ollama updated to mistral:7b-instruct-q5_K_M

Browse Source
This commit is contained in:
Dev Sanghani
2024-03-15 14:00:41 -04:00
parent 8e58a67d2d
commit b182cdb969
5 changed files with 473 additions and 19 deletions
Download Patch File Download Diff File Expand all files Collapse all files

442
poetry.lock generated
View File

@@ -1,4 +1,15 @@
# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]]
name = "absl-py"
version = "2.1.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
optional = false
python-versions = ">=3.7"
files = [
{file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
{file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
]
[[package]]
name = "aiofiles"
@@ -188,6 +199,21 @@ files = [
[package.extras]
tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
[[package]]
name = "astunparse"
version = "1.6.3"
description = "An AST unparser for Python"
optional = false
python-versions = "*"
files = [
{file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
{file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
]
[package.dependencies]
six = ">=1.6.1,<2.0"
wheel = ">=0.23.0,<1.0"
[[package]]
name = "async-timeout"
version = "4.0.3"
@@ -923,6 +949,61 @@ files = [
{file = "distro-1.8.0.tar.gz", hash = "sha256:02e111d1dc6a50abb8eed6bf31c3e48ed8b0830d1ea2a1b78c61765c2513fdd8"},
]
[[package]]
name = "dm-tree"
version = "0.1.8"
description = "Tree is a library for working with nested data structures."
optional = false
python-versions = "*"
files = [
{file = "dm-tree-0.1.8.tar.gz", hash = "sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430"},
{file = "dm_tree-0.1.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60"},
{file = "dm_tree-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39070ba268c0491af9fe7a58644d99e8b4f2cde6e5884ba3380bddc84ed43d5f"},
{file = "dm_tree-0.1.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef"},
{file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d20f2faa3672b52e5013f4077117bfb99c4cfc0b445d3bde1584c34032b57436"},
{file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5483dca4d7eb1a0d65fe86d3b6a53ae717face83c1f17e0887b1a4a64ae5c410"},
{file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1d7c26e431fc93cc7e0cba867eb000db6a05f6f2b25af11ac4e9dada88fc5bca"},
{file = "dm_tree-0.1.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d714371bb08839e4e5e29024fc95832d9affe129825ef38836b143028bd144"},
{file = "dm_tree-0.1.8-cp310-cp310-win_amd64.whl", hash = "sha256:d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee"},
{file = "dm_tree-0.1.8-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad16ceba90a56ec47cf45b21856d14962ac314787975ef786efb5e6e9ca75ec7"},
{file = "dm_tree-0.1.8-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:803bfc53b4659f447ac694dbd04235f94a73ef7c1fd1e0df7c84ac41e0bc963b"},
{file = "dm_tree-0.1.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:378cc8ad93c5fe3590f405a309980721f021c790ca1bdf9b15bb1d59daec57f5"},
{file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1607ce49aa42f010d1e5e616d92ce899d66835d4d8bea49679582435285515de"},
{file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:343a4a4ebaa127451ff971254a4be4084eb4bdc0b2513c32b46f6f728fd03f9e"},
{file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d"},
{file = "dm_tree-0.1.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83b7764de0d855338abefc6e3ee9fe40d301668310aa3baea3f778ff051f4393"},
{file = "dm_tree-0.1.8-cp311-cp311-win_amd64.whl", hash = "sha256:a5d819c38c03f0bb5b3b3703c60e4b170355a0fc6b5819325bf3d4ceb3ae7e80"},
{file = "dm_tree-0.1.8-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:ea9e59e0451e7d29aece402d9f908f2e2a80922bcde2ebfd5dcb07750fcbfee8"},
{file = "dm_tree-0.1.8-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:94d3f0826311f45ee19b75f5b48c99466e4218a0489e81c0f0167bda50cacf22"},
{file = "dm_tree-0.1.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:435227cf3c5dc63f4de054cf3d00183790bd9ead4c3623138c74dde7f67f521b"},
{file = "dm_tree-0.1.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09964470f76a5201aff2e8f9b26842976de7889300676f927930f6285e256760"},
{file = "dm_tree-0.1.8-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:75c5d528bb992981c20793b6b453e91560784215dffb8a5440ba999753c14ceb"},
{file = "dm_tree-0.1.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a94aba18a35457a1b5cd716fd7b46c5dafdc4cf7869b4bae665b91c4682a8e"},
{file = "dm_tree-0.1.8-cp312-cp312-win_amd64.whl", hash = "sha256:96a548a406a6fb15fe58f6a30a57ff2f2aafbf25f05afab00c8f5e5977b6c715"},
{file = "dm_tree-0.1.8-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8c60a7eadab64c2278861f56bca320b2720f163dca9d7558103c3b77f2416571"},
{file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af4b3d372f2477dcd89a6e717e4a575ca35ccc20cc4454a8a4b6f8838a00672d"},
{file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de287fabc464b8734be251e46e06aa9aa1001f34198da2b6ce07bd197172b9cb"},
{file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6"},
{file = "dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f7915660f59c09068e428613c480150180df1060561fd0d1470684ae7007bd1"},
{file = "dm_tree-0.1.8-cp37-cp37m-win_amd64.whl", hash = "sha256:b9f89a454e98806b44fe9d40ec9eee61f848388f7e79ac2371a55679bd5a3ac6"},
{file = "dm_tree-0.1.8-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0e9620ccf06393eb6b613b5e366469304622d4ea96ae6540b28a33840e6c89cf"},
{file = "dm_tree-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b095ba4f8ca1ba19350fd53cf1f8f3eb0bd406aa28af64a6dfc86707b32a810a"},
{file = "dm_tree-0.1.8-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d"},
{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c"},
{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8"},
{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68"},
{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134"},
{file = "dm_tree-0.1.8-cp38-cp38-win_amd64.whl", hash = "sha256:bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5"},
{file = "dm_tree-0.1.8-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f"},
{file = "dm_tree-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:250b692fb75f45f02e2f58fbef9ab338904ef334b90557565621fa251df267cf"},
{file = "dm_tree-0.1.8-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7"},
{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb"},
{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913"},
{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426"},
{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317"},
{file = "dm_tree-0.1.8-cp39-cp39-win_amd64.whl", hash = "sha256:8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368"},
]
[[package]]
name = "dnspython"
version = "2.4.2"
@@ -1017,7 +1098,7 @@ typing = ["typing-extensions (>=4.8)"]
name = "flatbuffers"
version = "23.5.26"
description = "The FlatBuffers serialization format for Python"
optional = true
optional = false
python-versions = "*"
files = [
{file = "flatbuffers-23.5.26-py2.py3-none-any.whl", hash = "sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1"},
@@ -1210,6 +1291,17 @@ smb = ["smbprotocol"]
ssh = ["paramiko"]
tqdm = ["tqdm"]
[[package]]
name = "gast"
version = "0.5.4"
description = "Python AST that abstracts the underlying Python version"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "gast-0.5.4-py3-none-any.whl", hash = "sha256:6fc4fa5fa10b72fb8aab4ae58bcb023058386e67b6fa2e3e34cec5c769360316"},
{file = "gast-0.5.4.tar.gz", hash = "sha256:9c270fe5f4b130969b54174de7db4e764b09b4f7f67ccfc32480e29f78348d97"},
]
[[package]]
name = "google-auth"
version = "2.25.2"
@@ -1233,6 +1325,21 @@ pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
reauth = ["pyu2f (>=0.1.5)"]
requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
[[package]]
name = "google-pasta"
version = "0.2.0"
description = "pasta is an AST-based Python refactoring library"
optional = false
python-versions = "*"
files = [
{file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
{file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
{file = "google_pasta-0.2.0-py3-none-any.whl", hash = "sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed"},
]
[package.dependencies]
six = "*"
[[package]]
name = "googleapis-common-protos"
version = "1.62.0"
@@ -1386,7 +1493,7 @@ test = ["objgraph", "psutil"]
name = "grpcio"
version = "1.60.0"
description = "HTTP/2-based RPC framework"
optional = true
optional = false
python-versions = ">=3.7"
files = [
{file = "grpcio-1.60.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:d020cfa595d1f8f5c6b343530cd3ca16ae5aefdd1e832b777f9f0eb105f5b139"},
@@ -1542,6 +1649,43 @@ files = [
hpack = ">=4.0,<5"
hyperframe = ">=6.0,<7"
[[package]]
name = "h5py"
version = "3.10.0"
description = "Read and write HDF5 files from Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "h5py-3.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b963fb772964fc1d1563c57e4e2e874022ce11f75ddc6df1a626f42bd49ab99f"},
{file = "h5py-3.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:012ab448590e3c4f5a8dd0f3533255bc57f80629bf7c5054cf4c87b30085063c"},
{file = "h5py-3.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:781a24263c1270a62cd67be59f293e62b76acfcc207afa6384961762bb88ea03"},
{file = "h5py-3.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f42e6c30698b520f0295d70157c4e202a9e402406f50dc08f5a7bc416b24e52d"},
{file = "h5py-3.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:93dd840bd675787fc0b016f7a05fc6efe37312a08849d9dd4053fd0377b1357f"},
{file = "h5py-3.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2381e98af081b6df7f6db300cd88f88e740649d77736e4b53db522d8874bf2dc"},
{file = "h5py-3.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:667fe23ab33d5a8a6b77970b229e14ae3bb84e4ea3382cc08567a02e1499eedd"},
{file = "h5py-3.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:90286b79abd085e4e65e07c1bd7ee65a0f15818ea107f44b175d2dfe1a4674b7"},
{file = "h5py-3.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c013d2e79c00f28ffd0cc24e68665ea03ae9069e167087b2adb5727d2736a52"},
{file = "h5py-3.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:92273ce69ae4983dadb898fd4d3bea5eb90820df953b401282ee69ad648df684"},
{file = "h5py-3.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c97d03f87f215e7759a354460fb4b0d0f27001450b18b23e556e7856a0b21c3"},
{file = "h5py-3.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:86df4c2de68257b8539a18646ceccdcf2c1ce6b1768ada16c8dcfb489eafae20"},
{file = "h5py-3.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba9ab36be991119a3ff32d0c7cbe5faf9b8d2375b5278b2aea64effbeba66039"},
{file = "h5py-3.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:2c8e4fda19eb769e9a678592e67eaec3a2f069f7570c82d2da909c077aa94339"},
{file = "h5py-3.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:492305a074327e8d2513011fa9fffeb54ecb28a04ca4c4227d7e1e9616d35641"},
{file = "h5py-3.10.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9450464b458cca2c86252b624279115dcaa7260a40d3cb1594bf2b410a2bd1a3"},
{file = "h5py-3.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd6f6d1384a9f491732cee233b99cd4bfd6e838a8815cc86722f9d2ee64032af"},
{file = "h5py-3.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3074ec45d3dc6e178c6f96834cf8108bf4a60ccb5ab044e16909580352010a97"},
{file = "h5py-3.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:212bb997a91e6a895ce5e2f365ba764debeaef5d2dca5c6fb7098d66607adf99"},
{file = "h5py-3.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5dfc65ac21fa2f630323c92453cadbe8d4f504726ec42f6a56cf80c2f90d6c52"},
{file = "h5py-3.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d4682b94fd36ab217352be438abd44c8f357c5449b8995e63886b431d260f3d3"},
{file = "h5py-3.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aece0e2e1ed2aab076c41802e50a0c3e5ef8816d60ece39107d68717d4559824"},
{file = "h5py-3.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:43a61b2c2ad65b1fabc28802d133eed34debcc2c8b420cb213d3d4ef4d3e2229"},
{file = "h5py-3.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:ae2f0201c950059676455daf92700eeb57dcf5caaf71b9e1328e6e6593601770"},
{file = "h5py-3.10.0.tar.gz", hash = "sha256:d93adc48ceeb33347eb24a634fb787efc7ae4644e6ea4ba733d099605045c049"},
]
[package.dependencies]
numpy = ">=1.17.3"
[[package]]
name = "hpack"
version = "4.0.0"
@@ -1876,6 +2020,26 @@ files = [
[package.dependencies]
referencing = ">=0.31.0"
[[package]]
name = "keras"
version = "3.0.5"
description = "Multi-backend Keras."
optional = false
python-versions = ">=3.9"
files = [
{file = "keras-3.0.5-py3-none-any.whl", hash = "sha256:4a022f2e97ea5a3db12ed809ffcb7ce1ef8d34feaeac52315ec8553ded2dcf97"},
{file = "keras-3.0.5.tar.gz", hash = "sha256:df3d3795e12c3f6035e811c43c13f1eb41e37241796a0fea120ede4ebe1c4496"},
]
[package.dependencies]
absl-py = "*"
dm-tree = "*"
h5py = "*"
ml-dtypes = "*"
namex = "*"
numpy = "*"
rich = "*"
[[package]]
name = "kiwisolver"
version = "1.4.5"
@@ -2015,6 +2179,26 @@ websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
[package.extras]
adal = ["adal (>=1.0.2)"]
[[package]]
name = "libclang"
version = "16.0.6"
description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
optional = false
python-versions = "*"
files = [
{file = "libclang-16.0.6-1-py2.py3-none-manylinux2014_aarch64.whl", hash = "sha256:88bc7e7b393c32e41e03ba77ef02fdd647da1f764c2cd028e69e0837080b79f6"},
{file = "libclang-16.0.6-1-py2.py3-none-manylinux2014_armv7l.whl", hash = "sha256:d80ed5827736ed5ec2bcedf536720476fd9d4fa4c79ef0cb24aea4c59332f361"},
{file = "libclang-16.0.6-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:da9e47ebc3f0a6d90fb169ef25f9fbcd29b4a4ef97a8b0e3e3a17800af1423f4"},
{file = "libclang-16.0.6-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:e1a5ad1e895e5443e205568c85c04b4608e4e973dae42f4dfd9cb46c81d1486b"},
{file = "libclang-16.0.6-py2.py3-none-manylinux2010_x86_64.whl", hash = "sha256:9dcdc730939788b8b69ffd6d5d75fe5366e3ee007f1e36a99799ec0b0c001492"},
{file = "libclang-16.0.6-py2.py3-none-manylinux2014_aarch64.whl", hash = "sha256:8130482120500476a027171f8f3c8dfc2536b591716eea71fc5da22cae13131b"},
{file = "libclang-16.0.6-py2.py3-none-manylinux2014_armv7l.whl", hash = "sha256:1e940048f51d0b0999099a9b78629ab8a64b62af5e9ff1b2b062439c21ee244d"},
{file = "libclang-16.0.6-py2.py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:f04e3060ae1f207f234d0608900c99c50edcb743e5e18276d78da2ddd727d39f"},
{file = "libclang-16.0.6-py2.py3-none-win_amd64.whl", hash = "sha256:daab4a11dae228f1efa9efa3fe638b493b14d8d52c71fb3c7019e2f1df4514c2"},
{file = "libclang-16.0.6-py2.py3-none-win_arm64.whl", hash = "sha256:4a9acbfd9c135a72f80d5dbff7588dfb0c81458244a89b9e83526e8595880e0a"},
{file = "libclang-16.0.6.tar.gz", hash = "sha256:4acdde39dfe410c877b4ccc0d4b57eb952100e4ee26bbdf6cfdb88e2033a7d31"},
]
[[package]]
name = "llama-cpp-python"
version = "0.2.53"
@@ -2296,11 +2480,26 @@ files = [
httpx = ">=0.20.0"
pydantic = ">=1.10"
[[package]]
name = "markdown"
version = "3.6"
description = "Python implementation of John Gruber's Markdown."
optional = false
python-versions = ">=3.8"
files = [
{file = "Markdown-3.6-py3-none-any.whl", hash = "sha256:48f276f4d8cfb8ce6527c8f79e2ee29708508bf4d40aa410fbc3b4ee832c850f"},
{file = "Markdown-3.6.tar.gz", hash = "sha256:ed4f41f6daecbeeb96e576ce414c41d2d876daa9a16cb35fa8ed8c2ddfad0224"},
]
[package.extras]
docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
testing = ["coverage", "pyyaml"]
[[package]]
name = "markdown-it-py"
version = "3.0.0"
description = "Python port of markdown-it. Markdown parsing, done right!"
optional = true
optional = false
python-versions = ">=3.8"
files = [
{file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
@@ -2461,13 +2660,45 @@ python-dateutil = ">=2.7"
name = "mdurl"
version = "0.1.2"
description = "Markdown URL utilities"
optional = true
optional = false
python-versions = ">=3.7"
files = [
{file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
]
[[package]]
name = "ml-dtypes"
version = "0.3.2"
description = ""
optional = false
python-versions = ">=3.9"
files = [
{file = "ml_dtypes-0.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7afde548890a92b41c0fed3a6c525f1200a5727205f73dc21181a2726571bb53"},
{file = "ml_dtypes-0.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1a746fe5fb9cd974a91070174258f0be129c592b93f9ce7df6cc336416c3fbd"},
{file = "ml_dtypes-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:961134ea44c7b8ca63eda902a44b58cd8bd670e21d62e255c81fba0a8e70d9b7"},
{file = "ml_dtypes-0.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:6b35c4e8ca957c877ac35c79ffa77724ecc3702a1e4b18b08306c03feae597bb"},
{file = "ml_dtypes-0.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:763697ab8a88d47443997a7cdf3aac7340049aed45f7521f6b0ec8a0594821fe"},
{file = "ml_dtypes-0.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b89b194e9501a92d289c1ffd411380baf5daafb9818109a4f49b0a1b6dce4462"},
{file = "ml_dtypes-0.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c34f2ba9660b21fe1034b608308a01be82bbef2a92fb8199f24dc6bad0d5226"},
{file = "ml_dtypes-0.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:6604877d567a29bfe7cc02969ae0f2425260e5335505cf5e7fefc3e5465f5655"},
{file = "ml_dtypes-0.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:93b78f53431c93953f7850bb1b925a17f0ab5d97527e38a7e865b5b4bc5cfc18"},
{file = "ml_dtypes-0.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a17ef2322e60858d93584e9c52a5be7dd6236b056b7fa1ec57f1bb6ba043e33"},
{file = "ml_dtypes-0.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8505946df1665db01332d885c2020b4cb9e84a8b1241eb4ba69d59591f65855"},
{file = "ml_dtypes-0.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:f47619d978ab1ae7dfdc4052ea97c636c6263e1f19bd1be0e42c346b98d15ff4"},
{file = "ml_dtypes-0.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c7b3fb3d4f6b39bcd4f6c4b98f406291f0d681a895490ee29a0f95bab850d53c"},
{file = "ml_dtypes-0.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a4c3fcbf86fa52d0204f07cfd23947ef05b4ad743a1a988e163caa34a201e5e"},
{file = "ml_dtypes-0.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91f8783fd1f2c23fd3b9ee5ad66b785dafa58ba3cdb050c4458021fa4d1eb226"},
{file = "ml_dtypes-0.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:7ba8e1fafc7fff3e643f453bffa7d082df1678a73286ce8187d3e825e776eb94"},
{file = "ml_dtypes-0.3.2.tar.gz", hash = "sha256:533059bc5f1764fac071ef54598db358c167c51a718f68f5bb55e3dee79d2967"},
]
[package.dependencies]
numpy = {version = ">=1.23.3", markers = "python_version >= \"3.11\""}
[package.extras]
dev = ["absl-py", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-xdist"]
[[package]]
name = "mmh3"
version = "4.0.1"
@@ -2712,6 +2943,17 @@ files = [
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "namex"
version = "0.0.7"
description = "A simple utility to separate the implementation of your Python package and its public API surface."
optional = false
python-versions = "*"
files = [
{file = "namex-0.0.7-py3-none-any.whl", hash = "sha256:8a4f062945f405d77cb66b907f16aa2fd83681945e998be840eb6c4154d40108"},
{file = "namex-0.0.7.tar.gz", hash = "sha256:84ba65bc4d22bd909e3d26bf2ffb4b9529b608cb3f9a4336f776b04204ced69b"},
]
[[package]]
name = "nest-asyncio"
version = "1.5.8"
@@ -3209,6 +3451,24 @@ files = [
{file = "opentelemetry_util_http-0.42b0.tar.gz", hash = "sha256:665e7d372837811aa08cbb9102d4da862441d1c9b1795d649ef08386c8a3cbbd"},
]
[[package]]
name = "opt-einsum"
version = "3.3.0"
description = "Optimizing numpys einsum function"
optional = false
python-versions = ">=3.5"
files = [
{file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"},
{file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"},
]
[package.dependencies]
numpy = ">=1.7"
[package.extras]
docs = ["numpydoc", "sphinx (==1.2.3)", "sphinx-rtd-theme", "sphinxcontrib-napoleon"]
tests = ["pytest", "pytest-cov", "pytest-pep8"]
[[package]]
name = "orjson"
version = "3.9.15"
@@ -3539,7 +3799,7 @@ virtualenv = ">=20.10.0"
name = "protobuf"
version = "4.25.1"
description = ""
optional = true
optional = false
python-versions = ">=3.8"
files = [
{file = "protobuf-4.25.1-cp310-abi3-win32.whl", hash = "sha256:193f50a6ab78a970c9b4f148e7c750cfde64f59815e86f686c22e26b4fe01ce7"},
@@ -3891,7 +4151,7 @@ files = [
name = "pygments"
version = "2.17.2"
description = "Pygments is a syntax highlighting package written in Python."
optional = true
optional = false
python-versions = ">=3.7"
files = [
{file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
@@ -4181,7 +4441,6 @@ files = [
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -4394,7 +4653,7 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
name = "rich"
version = "13.7.0"
description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
optional = true
optional = false
python-versions = ">=3.7.0"
files = [
{file = "rich-13.7.0-py3-none-any.whl", hash = "sha256:6da14c108c4866ee9520bbffa71f6fe3962e193b7da68720583850cd4548e235"},
@@ -4899,6 +5158,138 @@ files = [
[package.extras]
doc = ["reno", "sphinx", "tornado (>=4.5)"]
[[package]]
name = "tensorboard"
version = "2.16.2"
description = "TensorBoard lets you watch Tensors Flow"
optional = false
python-versions = ">=3.9"
files = [
{file = "tensorboard-2.16.2-py3-none-any.whl", hash = "sha256:9f2b4e7dad86667615c0e5cd072f1ea8403fc032a299f0072d6f74855775cc45"},
]
[package.dependencies]
absl-py = ">=0.4"
grpcio = ">=1.48.2"
markdown = ">=2.6.8"
numpy = ">=1.12.0"
protobuf = ">=3.19.6,<4.24.0 || >4.24.0"
setuptools = ">=41.0.0"
six = ">1.9"
tensorboard-data-server = ">=0.7.0,<0.8.0"
werkzeug = ">=1.0.1"
[[package]]
name = "tensorboard-data-server"
version = "0.7.2"
description = "Fast data loading for TensorBoard"
optional = false
python-versions = ">=3.7"
files = [
{file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"},
{file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"},
{file = "tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl", hash = "sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530"},
]
[[package]]
name = "tensorflow"
version = "2.16.1"
description = "TensorFlow is an open source machine learning framework for everyone."
optional = false
python-versions = ">=3.9"
files = [
{file = "tensorflow-2.16.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:ab79f156dd746c2dae906e3b4c5daac3855742941752e5a2c28f094c56eed466"},
{file = "tensorflow-2.16.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:8e376ab46fb1df18a1f927d77011d36ecf7b717a81cbfe4a941c7bf5236939b3"},
{file = "tensorflow-2.16.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae0554471d472b8095f8a5204d878389d0d4bc88f6ef6edcd477b952dff5cfab"},
{file = "tensorflow-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e96047657c64459a36a0cc211a3d003df96c7be3f95a84f7b705715f5697270"},
{file = "tensorflow-2.16.1-cp310-cp310-win_amd64.whl", hash = "sha256:21a3c6d76a39f52754c389326f6bef8aef3c26b5bc89ca365add4a69483e569e"},
{file = "tensorflow-2.16.1-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:f8a5b83ca4bf1813da158f63479cfdf848c0761e5120258417b3a96074a489f5"},
{file = "tensorflow-2.16.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:cc2065d1d27f9f89fea8a0fe8fdf6c437ae60987cd7f2928e0d00e532e79e44d"},
{file = "tensorflow-2.16.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:617df9fa2d697c4bc22fa3ee87eb01d580ab1bd0438fea15c4ec2f2870c40bb0"},
{file = "tensorflow-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930c61100cce3a5cb63d30fe6776504405214e8398a26ca968222ecb8b8f9404"},
{file = "tensorflow-2.16.1-cp311-cp311-win_amd64.whl", hash = "sha256:093573a8eb93ef9511e7015b8de9659ed27156f2f05e6d1211f8f4cb76407ee1"},
{file = "tensorflow-2.16.1-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:09cac3c6a8fbf85a9b95491b58086154dd00a09956ed31823bb45c6605f0e881"},
{file = "tensorflow-2.16.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:bbf06d879070dfce2617c7d2bb19696bb1b2bcbb3b4ae009520e7166dd75dfc2"},
{file = "tensorflow-2.16.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c612cdd436bb55b8dae1ecdd1d253496c95b006870b7165b8480c6606b8622aa"},
{file = "tensorflow-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a123fbb5788ba30d1113ce01bb166ddf85056fcb40e287c32a929ebfa4aa061"},
{file = "tensorflow-2.16.1-cp312-cp312-win_amd64.whl", hash = "sha256:1c5611e7357b7a4bc6dccc60750c91e27cdff82622fc917848f22add5ab8de26"},
{file = "tensorflow-2.16.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:e9cf3fba7f389ff8b8342c5fbebb2529321e0ce9e03d7bcb3657ee0876686c36"},
{file = "tensorflow-2.16.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:42858b5d14159a2b9cc01c7f5a88e063b0601f20430cb358374005a67da38114"},
{file = "tensorflow-2.16.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92152aa77c402684e9066885515af6a45d88455c4453a818052c7369357078d8"},
{file = "tensorflow-2.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03b946e73bf48d857928329b8b321b00b42fe1b4f774c6580666683b0629689f"},
{file = "tensorflow-2.16.1-cp39-cp39-win_amd64.whl", hash = "sha256:8231a9d7bba92a51231dcdcc3073920ad7d22fa88c64c7e2ecb7f1feac9d5fcb"},
]
[package.dependencies]
absl-py = ">=1.0.0"
astunparse = ">=1.6.0"
flatbuffers = ">=23.5.26"
gast = ">=0.2.1,<0.5.0 || >0.5.0,<0.5.1 || >0.5.1,<0.5.2 || >0.5.2"
google-pasta = ">=0.1.1"
grpcio = ">=1.24.3,<2.0"
h5py = ">=3.10.0"
keras = ">=3.0.0"
libclang = ">=13.0.0"
ml-dtypes = ">=0.3.1,<0.4.0"
numpy = {version = ">=1.23.5,<2.0.0", markers = "python_version <= \"3.11\""}
opt-einsum = ">=2.3.2"
packaging = "*"
protobuf = ">=3.20.3,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
requests = ">=2.21.0,<3"
setuptools = "*"
six = ">=1.12.0"
tensorboard = ">=2.16,<2.17"
tensorflow-io-gcs-filesystem = {version = ">=0.23.1", markers = "python_version < \"3.12\""}
termcolor = ">=1.1.0"
typing-extensions = ">=3.6.6"
wrapt = ">=1.11.0"
[package.extras]
and-cuda = ["nvidia-cublas-cu12 (==12.3.4.1)", "nvidia-cuda-cupti-cu12 (==12.3.101)", "nvidia-cuda-nvcc-cu12 (==12.3.107)", "nvidia-cuda-nvrtc-cu12 (==12.3.107)", "nvidia-cuda-runtime-cu12 (==12.3.101)", "nvidia-cudnn-cu12 (==8.9.7.29)", "nvidia-cufft-cu12 (==11.0.12.1)", "nvidia-curand-cu12 (==10.3.4.107)", "nvidia-cusolver-cu12 (==11.5.4.101)", "nvidia-cusparse-cu12 (==12.2.0.103)", "nvidia-nccl-cu12 (==2.19.3)", "nvidia-nvjitlink-cu12 (==12.3.101)"]
[[package]]
name = "tensorflow-io-gcs-filesystem"
version = "0.36.0"
description = "TensorFlow IO"
optional = false
python-versions = ">=3.7, <3.12"
files = [
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:702c6df62b38095ff613c433546d9424d4f33902a5ab26b00fd26457e27a99fa"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e9b8aaca2789af356c42afda0f52380f82e5abb2f3c0b85087833fcfe03875d8"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c477aed96864ceae77d7051c3b687f28813aba7320fc5dd552164fad6ec8d1a1"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be1ff92559dfa23048b01179a1827081947583f5c6f9986ccac471df8a29322a"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:72c3ca4b8c0d8dbdd970699d05a100107cf200317ad8e6a8373e2c37225cd552"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:848e8e89a0f49258c7782189c938d8d1162d989da1a80c79f95c7af3ef6006c8"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d72db1ab03edb65fa1e98d06e504ccbc64282d38ab3589afb6db66dc448d1c1"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bd4d946b5fa23220daa473a80e511a5fb27493d7e49d17dff0bb43bb0a31f32"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fa346fd1dd9f57848b73874007440504f060fadd689fa1cc29cc49817d0eeaf3"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:0a4437824424a4423cf86162cb8b21b1bec24698194332748b50bb952e62ab9f"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:31806bd7ac2db789161bc720747de22947063265561a4c17be54698fd9780b03"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc0e57976c1aa035af6281f0330cfb8dd50eee2f63412ecc84d60ff5075d29b7"},
{file = "tensorflow_io_gcs_filesystem-0.36.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e97ff5c280eb10f699098ae21057be2b146d39e8a906cd5db91f2ea6c34e47d0"},
]
[package.extras]
tensorflow = ["tensorflow (>=2.15.0,<2.16.0)"]
tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.15.0,<2.16.0)"]
tensorflow-cpu = ["tensorflow-cpu (>=2.15.0,<2.16.0)"]
tensorflow-gpu = ["tensorflow-gpu (>=2.15.0,<2.16.0)"]
tensorflow-rocm = ["tensorflow-rocm (>=2.15.0,<2.16.0)"]
[[package]]
name = "termcolor"
version = "2.4.0"
description = "ANSI color formatting for output in terminal"
optional = false
python-versions = ">=3.8"
files = [
{file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
{file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
]
[package.extras]
tests = ["pytest", "pytest-cov"]
[[package]]
name = "tiktoken"
version = "0.5.2"
@@ -5740,6 +6131,37 @@ files = [
{file = "websockets-11.0.3.tar.gz", hash = "sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016"},
]
[[package]]
name = "werkzeug"
version = "3.0.1"
description = "The comprehensive WSGI web application library."
optional = false
python-versions = ">=3.8"
files = [
{file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"},
{file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"},
]
[package.dependencies]
MarkupSafe = ">=2.1.1"
[package.extras]
watchdog = ["watchdog (>=2.3)"]
[[package]]
name = "wheel"
version = "0.43.0"
description = "A built-package format for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "wheel-0.43.0-py3-none-any.whl", hash = "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"},
{file = "wheel-0.43.0.tar.gz", hash = "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85"},
]
[package.extras]
test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
[[package]]
name = "wrapt"
version = "1.16.0"
@@ -5956,4 +6378,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.11,<3.12"
content-hash = "689df29f4f2209e7ae6638563f4bb25700d1454098d0c728a164a708d42fa377"
content-hash = "f19dac9e420b83a03d747f5d560571f89a61f724159d2e0a5f6f4e6e8cfcdd2f"

8
private_gpt/ui/ui.py
View File

@@ -30,7 +30,7 @@ THIS_DIRECTORY_RELATIVE = Path(__file__).parent.relative_to(PROJECT_ROOT_PATH)
# Should be "private_gpt/ui/avatar-bot.ico"
AVATAR_BOT = THIS_DIRECTORY_RELATIVE / "avatar-bot.ico"
UI_TAB_TITLE = "My Private GPT"
UI_TAB_TITLE = "MTU Teaching Assitant"
SOURCES_SEPARATOR = "\n\n Sources: \n"
@@ -87,8 +87,8 @@ class PrivateGptUi:
self._system_prompt = self._get_default_system_prompt(self.mode)
def _chat(self, message: str, history: list[list[str]], mode: str, *_: Any) -> Any:
# Modify the _chat method to set the mode to "Query Docs" by default
mode = "Query Docs"
# Modify the _chat method to set the mode to "Query Files" by default
mode = "Query Files"
def yield_deltas(completion_gen: CompletionGen) -> Iterable[str]:
full_response: str = ""
stream = completion_gen.response
@@ -437,7 +437,7 @@ class PrivateGptUi:
_ = gr.ChatInterface(
self._chat,
chatbot=gr.Chatbot(
label=f"LLM: {settings().llm.mode}",
label=f"MTU Teaching Assistant:8002",
show_copy_button=True,
elem_id="chatbot",
render=False,

1
pyproject.toml
View File

@@ -37,6 +37,7 @@ asyncpg = {version="^0.29.0", optional = true}
boto3 = {version ="^1.34.51", optional = true}
# Optional UI
gradio = {version ="^4.19.2", optional = true}
tensorflow = "^2.16.1"
[tool.poetry.extras]
ui = ["gradio"]

2
settings-ollama.yaml
View File

@@ -11,7 +11,7 @@ embedding:
mode: ollama
ollama:
llm_model: mistral
llm_model: mistral:7b-instruct-q5_K_M
embedding_model: nomic-embed-text
api_base: http://localhost:11434
tfs_z: 1.0 # Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting.

39
settings.yaml
View File

@@ -23,14 +23,45 @@ ui:
enabled: true
path: /
default_chat_system_prompt: >
You are a helpful, respectful and honest assistant.
You are a helpful, respectful and honest teaching assistant.
You job is to help students with providing explanations to their questions.
Always answer as helpfully as possible and follow ALL given instructions.
Do not speculate or make up information.
Do not reference any given instructions or context.
default_query_system_prompt: >
You can only answer questions about the provided context.
If you know the answer but it is not based in the provided context, don't provide
the answer, just state the answer is not in the context provided.
Your scope of response is strictly limited to the ingested and indexed
subject material documents pertaining to the domains of cybersecurity education,
cybersecurity, machine learning, big data, and Artificial Intelligence. When a
question is presented, parse it to ascertain the core topic and the intent,
centering your analysis within the specified realms.
Your responses should be crafted with direct relevance to the query's topic,
specifically grounded in the mentioned fields, and avoid any tangential information.
Strive for explanatory answers that bolster the user's comprehension of the concepts,
using examples and analogies to elucidate more intricate points when suitable.
Adhere strictly to the content within the provided materials. In instances where
the query cannot be addressed using the supplied documents, notify the user
accordingly. Refrain from introducing unvetted external information not contained
within the educational documents at hand.
Engage users with follow-up inquiries to guarantee thorough understanding, and
suggest additional exploration within the documents when it is relevant. Maintain
a conversational tone to render the information accessible and to stimulate
engagement.
Uphold a neutral and supportive demeanor throughout, fostering an educational
atmosphere. Clearly indicate when a response extends beyond the remit of the
provided material, and avoid speculation. Your engagement should remain within
the academic confines of cybersecurity, machine learning, big data, and Artificial
Intelligence.
Finally, solicit feedback actively on the explanations rendered to enable continuous
learning and adaptation to student needs, with a particular focus on the areas
of cybersecurity, machine learning, big data, and Artificial Intelligence education.
Incorporate a feedback mechanism to enhance the pertinence and quality of the
educational content dynamically.
delete_file_button_enabled: true
delete_all_files_button_enabled: true