From 6189ce40567ad691bb179f602a3b09edcf8631a7 Mon Sep 17 00:00:00 2001
From: Ismail Pelaseyed <homanp@gmail.com>
Date: Thu, 22 Feb 2024 00:28:05 -0800
Subject: [PATCH] Update dependencies and add gunicorn

---
 poetry.lock    | 888 +++++++++++++++++++++++++------------------------
 pyproject.toml |   3 +-
 2 files changed, 447 insertions(+), 444 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 90095172..31223d0e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -145,13 +145,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.2.0"
+version = "4.3.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
-    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
+    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
 ]
 
 [package.dependencies]
@@ -178,19 +178,19 @@ files = [
 
 [[package]]
 name = "astrapy"
-version = "0.7.4"
+version = "0.7.6"
 description = "AstraPy is a Pythonic SDK for DataStax Astra"
 optional = false
 python-versions = ">=3.8.0,<4.0.0"
 files = [
-    {file = "astrapy-0.7.4-py3-none-any.whl", hash = "sha256:4b3f61675cbbe0b5067f97f7f051022b56e30a9694ca3c75d8388084c456bd2d"},
-    {file = "astrapy-0.7.4.tar.gz", hash = "sha256:c438232d8b938204d730943786929675a42869a7b725eeb5a0323ea4ecca30ed"},
+    {file = "astrapy-0.7.6-py3-none-any.whl", hash = "sha256:294a9580ac9c1e61e692a76ad53374def2928c267a362099c67e2a0e32573290"},
+    {file = "astrapy-0.7.6.tar.gz", hash = "sha256:881c335efdcd528bf58caf6a38f98c03998cb56e5b4c7cf744d10bc3dbf7667a"},
 ]
 
 [package.dependencies]
-cassio = ">=0.1.3,<0.2.0"
+cassio = ">=0.1.4,<0.2.0"
 deprecation = ">=2.1.0,<2.2.0"
-httpx = {version = ">=0.25.1,<0.26.0", extras = ["http2"]}
+httpx = {version = ">=0.25.2,<1", extras = ["http2"]}
 toml = ">=0.10.2,<0.11.0"
 
 [[package]]
@@ -387,13 +387,13 @@ graph = ["gremlinpython (==3.4.6)"]
 
 [[package]]
 name = "cassio"
-version = "0.1.4"
+version = "0.1.5"
 description = "A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "cassio-0.1.4.tar.gz", hash = "sha256:df495c459ee5e9194e4780ac3ea1aaf79a4443e6d06f0eeb67aac6e3cd8c47aa"},
+    {file = "cassio-0.1.5-py3-none-any.whl", hash = "sha256:cf1d11f255c040bc0aede4963ca020840133377aa54f7f15d2f819d6553d52ce"},
+    {file = "cassio-0.1.5.tar.gz", hash = "sha256:88c50c34d46a1bfffca1e0b600318a6efef45e6c18a56ddabe208cbede8dcc27"},
 ]
 
 [package.dependencies]
@@ -631,13 +631,13 @@ test = ["coverage (>=4.2)", "importlib-metadata (>=2.0)", "pytest (>=3.0.3)", "p
 
 [[package]]
 name = "cohere"
-version = "4.47"
+version = "4.48"
 description = "Python SDK for the Cohere API"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "cohere-4.47-py3-none-any.whl", hash = "sha256:8b96a1ab57713eceffb4ffd58bf647055676fb741a4e5153c14296f9814c77fa"},
-    {file = "cohere-4.47.tar.gz", hash = "sha256:d689212079c1a545bd497b143cff7aa5632831fa6cf41bf7acc93b4a6effb839"},
+    {file = "cohere-4.48-py3-none-any.whl", hash = "sha256:d8a84900533725e62c536a73426e367cd97cde464e34d39bd2cf7fd18f3e319d"},
+    {file = "cohere-4.48.tar.gz", hash = "sha256:874578aad8c67d5b73f4705cf03341d94f302012288190613a6b1ed2fac3e010"},
 ]
 
 [package.dependencies]
@@ -775,43 +775,43 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "cryptography"
-version = "42.0.2"
+version = "42.0.4"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1091,42 +1091,42 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "fastavro"
-version = "1.9.3"
+version = "1.9.4"
 description = "Fast read/write of AVRO files"
 optional = false
 python-versions = ">=3.8"
 files = [
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 snappy = ["cramjam"]
 zstandard = ["zstandard"]
 
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 [package.extras]
@@ -1482,138 +1463,158 @@ test = ["objgraph", "psutil"]
 
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 ]
 
 [package.dependencies]
-grpcio = ">=1.60.1"
+grpcio = ">=1.62.0"
 protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
+[[package]]
+name = "gunicorn"
+version = "21.2.0"
+description = "WSGI HTTP Server for UNIX"
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
+
+[package.dependencies]
+packaging = "*"
+
+[package.extras]
+eventlet = ["eventlet (>=0.24.1)"]
+gevent = ["gevent (>=1.4.0)"]
+setproctitle = ["setproctitle"]
+tornado = ["tornado (>=0.2)"]
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -1653,13 +1654,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.2"
+version = "1.0.4"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
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+    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
 ]
 
 [package.dependencies]
@@ -1670,7 +1671,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
+trio = ["trio (>=0.22.0,<0.25.0)"]
 
 [[package]]
 name = "httpx"
@@ -1699,13 +1700,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.19.4"
+version = "0.20.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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@@ -3546,13 +3549,13 @@ tests-min = ["defusedxml", "packaging", "pytest"]
 
 [[package]]
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 [package.dependencies]
@@ -3614,22 +3617,22 @@ wcwidth = "*"
 
 [[package]]
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 description = ""
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 python-versions = ">=3.8"
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 [[package]]
@@ -3878,13 +3881,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
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 [[package]]
@@ -3903,13 +3906,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
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 ]
 
 [package.dependencies]
@@ -4530,28 +4533,28 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
-version = "0.2.1"
+version = "0.2.2"
 description = "An extremely fast Python linter and code formatter, written in Rust."
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 python-versions = ">=3.7"
 files = [
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+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "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,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "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", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.19)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "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", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -5412,20 +5414,20 @@ ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
-serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
+serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
 tokenizers = ["tokenizers (>=0.14,<0.19)"]
-torch = ["accelerate (>=0.21.0)", "torch (>=1.11,!=1.12.0)"]
+torch = ["accelerate (>=0.21.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -5664,13 +5666,13 @@ Pillow = ">=8.0.0"
 
 [[package]]
 name = "urllib3"
-version = "2.2.0"
+version = "2.2.1"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
-    {file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
+    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
+    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
 ]
 
 [package.extras]
@@ -5942,13 +5944,13 @@ test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "xlsxwriter"
-version = "3.1.9"
+version = "3.2.0"
 description = "A Python module for creating Excel XLSX files."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "XlsxWriter-3.1.9-py3-none-any.whl", hash = "sha256:b61c1a0c786f82644936c0936ec96ee96cd3afb9440094232f7faef9b38689f0"},
-    {file = "XlsxWriter-3.1.9.tar.gz", hash = "sha256:de810bf328c6a4550f4ffd6b0b34972aeb7ffcf40f3d285a0413734f9b63a929"},
+    {file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"},
+    {file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"},
 ]
 
 [[package]]
@@ -6072,4 +6074,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "a6ddd23ffbae5cd2b2c35f969b5014e766885d15dbb29df11719eaafcc41669a"
+content-hash = "39e95530e2f1fb5f36aff859c19dea1472f7cbe4d7c4d462a35b4e3cf1e39aee"
diff --git a/pyproject.toml b/pyproject.toml
index 22600543..ac15484a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,7 +19,7 @@ black = "^23.12.1"
 flake8 = "^7.0.0"
 vulture = "^2.11"
 python-decouple = "^3.8"
-semantic-router = {extras = ["fastembed"], version = "^0.0.22"}
+semantic-router = {version = "^0.0.22"}
 astrapy = "^0.7.4"
 openai = "^1.12.0"
 tqdm = "^4.66.2"
@@ -30,6 +30,7 @@ docx2txt = "^0.8"
 python-dotenv = "^1.0.1"
 unstructured = {version = "^0.12.4", extras = ["all-docs"], python = "<3.12"}
 e2b = "^0.14.4"
+gunicorn = "^21.2.0"
 
 [tool.poetry.group.dev.dependencies]
 termcolor = "^2.4.0"