diff --git a/config.json b/config.json
index 06c0101..52597c4 100644
--- a/config.json
+++ b/config.json
@@ -168,6 +168,15 @@
       "constraints": ["node.labels.node_vm_type==gpu"],
       "build": false
     },
+    {
+      "serviceName": "dsp",
+      "modelBasePath": "src/dsp/local/.",
+      "apiBasePath": "/dsp/local",
+      "containerPort": 8000,
+      "environment": {
+        "OPENAI_API_KEY": "${OPENAI_API_KEY}"
+      }
+    },
     {
       "serviceName": "text_translation_bhashini",
       "modelBasePath": "src/text_translation/bhashini/remote/.",
diff --git a/poetry.lock b/poetry.lock
index 053f643..00b6d5a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,33 @@
 # This file is automatically @generated by Poetry 1.5.0 and should not be changed by hand.
 
+[[package]]
+name = "accelerate"
+version = "0.21.0"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "accelerate-0.21.0-py3-none-any.whl", hash = "sha256:e2609d37f2c6a56e36a0612feae6ff6d9daac9759f4899432b86b1dc97024ebb"},
+    {file = "accelerate-0.21.0.tar.gz", hash = "sha256:e2959a0bf74d97c0b3c0e036ed96065142a060242281d27970d4c4e34f11ca59"},
+]
+
+[package.dependencies]
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+torch = ">=1.10.0"
+
+[package.extras]
+dev = ["black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "tqdm", "transformers", "urllib3 (<2.0.0)"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
+test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "tensorboard", "wandb"]
+testing = ["datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"]
+
 [[package]]
 name = "aiofiles"
 version = "23.1.0"
@@ -164,6 +192,104 @@ files = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 
+[[package]]
+name = "appnope"
+version = "0.1.3"
+description = "Disable App Nap on macOS >= 10.9"
+optional = false
+python-versions = "*"
+files = [
+    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
+    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+]
+
+[[package]]
+name = "argon2-cffi"
+version = "21.3.0"
+description = "The secure Argon2 password hashing algorithm."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "argon2-cffi-21.3.0.tar.gz", hash = "sha256:d384164d944190a7dd7ef22c6aa3ff197da12962bd04b17f64d4e93d934dba5b"},
+    {file = "argon2_cffi-21.3.0-py3-none-any.whl", hash = "sha256:8c976986f2c5c0e5000919e6de187906cfd81fb1c72bf9d88c01177e77da7f80"},
+]
+
+[package.dependencies]
+argon2-cffi-bindings = "*"
+
+[package.extras]
+dev = ["cogapp", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "pre-commit", "pytest", "sphinx", "sphinx-notfound-page", "tomli"]
+docs = ["furo", "sphinx", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
+
+[[package]]
+name = "argon2-cffi-bindings"
+version = "21.2.0"
+description = "Low-level CFFI bindings for Argon2"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"},
+    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"},
+    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d"},
+    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae"},
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+    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e"},
+    {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082"},
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+    {file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"},
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+    {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5"},
+    {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"},
+    {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7"},
+    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"},
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+    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"},
+    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"},
+    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"},
+]
+
+[package.dependencies]
+cffi = ">=1.0.1"
+
+[package.extras]
+dev = ["cogapp", "pre-commit", "pytest", "wheel"]
+tests = ["pytest"]
+
+[[package]]
+name = "arrow"
+version = "1.2.3"
+description = "Better dates & times for Python"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "arrow-1.2.3-py3-none-any.whl", hash = "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"},
+    {file = "arrow-1.2.3.tar.gz", hash = "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1"},
+]
+
+[package.dependencies]
+python-dateutil = ">=2.7.0"
+
+[[package]]
+name = "asttokens"
+version = "2.2.1"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = "*"
+files = [
+    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
+    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+]
+
+[package.dependencies]
+six = "*"
+
+[package.extras]
+test = ["astroid", "pytest"]
+
 [[package]]
 name = "async-cache"
 version = "1.1.1"
@@ -174,6 +300,20 @@ files = [
     {file = "async-cache-1.1.1.tar.gz", hash = "sha256:81aa9ccd19fb06784aaf30bd5f2043dc0a23fc3e998b93d0c2c17d1af9803393"},
 ]
 
+[[package]]
+name = "async-lru"
+version = "2.0.4"
+description = "Simple LRU cache for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
+    {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "async-timeout"
 version = "4.0.2"
@@ -216,6 +356,75 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
 tests = ["attrs[tests-no-zope]", "zope-interface"]
 tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 
+[[package]]
+name = "babel"
+version = "2.12.1"
+description = "Internationalization utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "Babel-2.12.1-py3-none-any.whl", hash = "sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610"},
+    {file = "Babel-2.12.1.tar.gz", hash = "sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"},
+]
+
+[[package]]
+name = "backcall"
+version = "0.2.0"
+description = "Specifications for callback functions passed in to an API"
+optional = false
+python-versions = "*"
+files = [
+    {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
+    {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
+]
+
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.2"
+description = "Screen-scraping library"
+optional = false
+python-versions = ">=3.6.0"
+files = [
+    {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
+    {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
+]
+
+[package.dependencies]
+soupsieve = ">1.2"
+
+[package.extras]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
+
+[[package]]
+name = "bleach"
+version = "6.0.0"
+description = "An easy safelist-based HTML-sanitizing tool."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "bleach-6.0.0-py3-none-any.whl", hash = "sha256:33c16e3353dbd13028ab4799a0f89a83f113405c766e9c122df8a06f5b85b3f4"},
+    {file = "bleach-6.0.0.tar.gz", hash = "sha256:1a1a85c1595e07d8db14c5f09f09e6433502c51c595970edc090551f0db99414"},
+]
+
+[package.dependencies]
+six = ">=1.9.0"
+webencodings = "*"
+
+[package.extras]
+css = ["tinycss2 (>=1.1.0,<1.2)"]
+
 [[package]]
 name = "blinker"
 version = "1.5"
@@ -391,6 +600,82 @@ files = [
     {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
 ]
 
+[[package]]
+name = "cffi"
+version = "1.15.1"
+description = "Foreign Function Interface for Python calling C code."
+optional = false
+python-versions = "*"
+files = [
+    {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"},
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+    {file = "cffi-1.15.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:9ad5db27f9cabae298d151c85cf2bad1d359a1b9c686a275df03385758e2f914"},
+    {file = "cffi-1.15.1-cp27-cp27m-win32.whl", hash = "sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3"},
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+
+[package.dependencies]
+pycparser = "*"
+
 [[package]]
 name = "charset-normalizer"
 version = "3.1.0"
@@ -529,6 +814,25 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "comm"
+version = "0.1.4"
+description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
+[package.dependencies]
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+
+[package.extras]
+lint = ["black (>=22.6.0)", "mdformat (>0.7)", "mdformat-gfm (>=0.3.5)", "ruff (>=0.0.156)"]
+test = ["pytest"]
+typing = ["mypy (>=0.990)"]
+
 [[package]]
 name = "confection"
 version = "0.0.4"
@@ -708,6 +1012,55 @@ tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elast
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
+[[package]]
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+version = "1.6.7"
+description = "An implementation of the Debug Adapter Protocol for Python"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
+
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+    {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
+]
+
 [[package]]
 name = "dill"
 version = "0.3.6"
@@ -736,6 +1089,29 @@ files = [
 [package.dependencies]
 six = ">=1.4.0"
 
+[[package]]
+name = "dsp-ml"
+version = "0.1.5"
+description = "Demonstrate-Search-Predict"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "dsp-ml-0.1.5.tar.gz", hash = "sha256:1d5ec5e20a729f607216adcf681d712946b6eac970c5e058e73451cc5b696091"},
+    {file = "dsp_ml-0.1.5-py3-none-any.whl", hash = "sha256:92133f3b8757e7d62ba8e5b98de95eb03fd0126f9c96f42e47808f8ab5ea60de"},
+]
+
+[package.dependencies]
+backoff = "*"
+datasets = "*"
+joblib = "*"
+jupyter = "*"
+openai = "*"
+pandas = "*"
+regex = "*"
+spacy = "*"
+tqdm = "*"
+ujson = "*"
+
 [[package]]
 name = "en-core-web-sm"
 version = "3.4.1"
@@ -786,6 +1162,20 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "executing"
+version = "1.2.0"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = "*"
+files = [
+    {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"},
+    {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"},
+]
+
+[package.extras]
+tests = ["asttokens", "littleutils", "pytest", "rich"]
+
 [[package]]
 name = "fastcoref"
 version = "2.1.6"
@@ -809,6 +1199,20 @@ wandb = {version = ">=0.13.4", optional = true, markers = "extra == \"train\""}
 [package.extras]
 train = ["wandb (>=0.13.4)"]
 
+[[package]]
+name = "fastjsonschema"
+version = "2.18.0"
+description = "Fastest Python implementation of JSON schema"
+optional = false
+python-versions = "*"
+files = [
+    {file = "fastjsonschema-2.18.0-py3-none-any.whl", hash = "sha256:128039912a11a807068a7c87d0da36660afbfd7202780db26c4aa7153cfdc799"},
+    {file = "fastjsonschema-2.18.0.tar.gz", hash = "sha256:e820349dd16f806e4bd1467a138dced9def4bc7d6213a34295272a6cac95b5bd"},
+]
+
+[package.extras]
+devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
+
 [[package]]
 name = "filelock"
 version = "3.12.0"
@@ -887,6 +1291,17 @@ ufo = ["fs (>=2.2.0,<3)"]
 unicode = ["unicodedata2 (>=15.0.0)"]
 woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
+[[package]]
+name = "fqdn"
+version = "1.5.1"
+description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
+optional = false
+python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
+files = [
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+    {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
+]
+
 [[package]]
 name = "frozenlist"
 version = "1.3.3"
@@ -1441,6 +1856,124 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
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+test = ["coverage", "jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-cov", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
+
+[[package]]
+name = "jupyterlab"
+version = "4.0.4"
+description = "JupyterLab computational environment"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "jupyterlab-4.0.4-py3-none-any.whl", hash = "sha256:23eef35d22be8f2ad9b873ec41ceb2e8c3b0dc8ae740c0f973e2de09e587530f"},
+    {file = "jupyterlab-4.0.4.tar.gz", hash = "sha256:049449a56d93202ed204e0e86f96f5a3447a08cfc09fb012fd239e178651cb34"},
+]
+
+[package.dependencies]
+async-lru = ">=1.0.0"
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
+ipykernel = "*"
+jinja2 = ">=3.0.3"
+jupyter-core = "*"
+jupyter-lsp = ">=2.0.0"
+jupyter-server = ">=2.4.0,<3"
+jupyterlab-server = ">=2.19.0,<3"
+notebook-shim = ">=0.2"
+packaging = "*"
+tomli = {version = "*", markers = "python_version < \"3.11\""}
+tornado = ">=6.2.0"
+traitlets = "*"
+
+[package.extras]
+dev = ["black[jupyter] (==23.3.0)", "build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.0.271)"]
+docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8)", "sphinx-copybutton"]
+docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
+test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
+
+[[package]]
+name = "jupyterlab-pygments"
+version = "0.2.2"
+description = "Pygments theme using JupyterLab CSS variables"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyterlab_pygments-0.2.2-py2.py3-none-any.whl", hash = "sha256:2405800db07c9f770863bcf8049a529c3dd4d3e28536638bd7c1c01d2748309f"},
+    {file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"},
+]
+
+[[package]]
+name = "jupyterlab-server"
+version = "2.24.0"
+description = "A set of server components for JupyterLab and JupyterLab like applications."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyterlab_server-2.24.0-py3-none-any.whl", hash = "sha256:5f077e142bb8dc9b843d960f940c513581bceca3793a0d80f9c67d9522c4e876"},
+    {file = "jupyterlab_server-2.24.0.tar.gz", hash = "sha256:4e6f99e0a5579bbbc32e449c4dbb039561d4f1a7827d5733273ed56738f21f07"},
+]
+
+[package.dependencies]
+babel = ">=2.10"
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
+jinja2 = ">=3.0.3"
+json5 = ">=0.9.0"
+jsonschema = ">=4.17.3"
+jupyter-server = ">=1.21,<3"
+packaging = ">=21.3"
+requests = ">=2.28"
+
+[package.extras]
+docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"]
+openapi = ["openapi-core (>=0.16.1,<0.17.0)", "ruamel-yaml"]
+test = ["hatch", "ipykernel", "jupyterlab-server[openapi]", "openapi-spec-validator (>=0.5.1,<0.7.0)", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"]
+
+[[package]]
+name = "jupyterlab-widgets"
+version = "3.0.8"
+description = "Jupyter interactive widgets for JupyterLab"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jupyterlab_widgets-3.0.8-py3-none-any.whl", hash = "sha256:4715912d6ceab839c9db35953c764b3214ebbc9161c809f6e0510168845dfdf5"},
+    {file = "jupyterlab_widgets-3.0.8.tar.gz", hash = "sha256:d428ab97b8d87cc7c54cbf37644d6e0f0e662f23876e05fa460a73ec3257252a"},
+]
+
 [[package]]
 name = "kiwisolver"
 version = "1.4.4"
@@ -1702,6 +2584,20 @@ pillow = ">=6.2.0"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.6"
+description = "Inline Matplotlib backend for Jupyter"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
+    {file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"},
+]
+
+[package.dependencies]
+traitlets = "*"
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -1713,6 +2609,17 @@ files = [
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
 ]
 
+[[package]]
+name = "mistune"
+version = "3.0.1"
+description = "A sane and fast Markdown parser with useful plugins and renderers"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mistune-3.0.1-py3-none-any.whl", hash = "sha256:b9b3e438efbb57c62b5beb5e134dab664800bdf1284a7ee09e8b12b13eb1aac6"},
+    {file = "mistune-3.0.1.tar.gz", hash = "sha256:e912116c13aa0944f9dc530db38eb88f6a77087ab128f49f84a48f4c05ea163c"},
+]
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -1876,6 +2783,98 @@ files = [
     {file = "murmurhash-1.0.9.tar.gz", hash = "sha256:fe7a38cb0d3d87c14ec9dddc4932ffe2dbc77d75469ab80fd5014689b0e07b58"},
 ]
 
+[[package]]
+name = "nbclient"
+version = "0.8.0"
+description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "nbclient-0.8.0-py3-none-any.whl", hash = "sha256:25e861299e5303a0477568557c4045eccc7a34c17fc08e7959558707b9ebe548"},
+    {file = "nbclient-0.8.0.tar.gz", hash = "sha256:f9b179cd4b2d7bca965f900a2ebf0db4a12ebff2f36a711cb66861e4ae158e55"},
+]
+
+[package.dependencies]
+jupyter-client = ">=6.1.12"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+nbformat = ">=5.1"
+traitlets = ">=5.4"
+
+[package.extras]
+dev = ["pre-commit"]
+docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
+test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
+
+[[package]]
+name = "nbconvert"
+version = "7.7.3"
+description = "Converting Jupyter Notebooks"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "nbconvert-7.7.3-py3-none-any.whl", hash = "sha256:3022adadff3f86578a47fab7c2228bb3ca9c56a24345642a22f917f6168b48fc"},
+    {file = "nbconvert-7.7.3.tar.gz", hash = "sha256:4a5996bf5f3cd16aa0431897ba1aa4c64842c2079f434b3dc6b8c4b252ef3355"},
+]
+
+[package.dependencies]
+beautifulsoup4 = "*"
+bleach = "!=5.0.0"
+defusedxml = "*"
+importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
+jinja2 = ">=3.0"
+jupyter-core = ">=4.7"
+jupyterlab-pygments = "*"
+markupsafe = ">=2.0"
+mistune = ">=2.0.3,<4"
+nbclient = ">=0.5.0"
+nbformat = ">=5.7"
+packaging = "*"
+pandocfilters = ">=1.4.1"
+pygments = ">=2.4.1"
+tinycss2 = "*"
+traitlets = ">=5.1"
+
+[package.extras]
+all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"]
+docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"]
+qtpdf = ["nbconvert[qtpng]"]
+qtpng = ["pyqtwebengine (>=5.15)"]
+serve = ["tornado (>=6.1)"]
+test = ["flaky", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"]
+webpdf = ["playwright"]
+
+[[package]]
+name = "nbformat"
+version = "5.9.2"
+description = "The Jupyter Notebook format"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "nbformat-5.9.2-py3-none-any.whl", hash = "sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9"},
+    {file = "nbformat-5.9.2.tar.gz", hash = "sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192"},
+]
+
+[package.dependencies]
+fastjsonschema = "*"
+jsonschema = ">=2.6"
+jupyter-core = "*"
+traitlets = ">=5.1"
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
+test = ["pep440", "pre-commit", "pytest", "testpath"]
+
+[[package]]
+name = "nest-asyncio"
+version = "1.5.7"
+description = "Patch asyncio to allow nested event loops"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "nest_asyncio-1.5.7-py3-none-any.whl", hash = "sha256:5301c82941b550b3123a1ea772ba9a1c80bad3a182be8c1a5ae6ad3be57a9657"},
+    {file = "nest_asyncio-1.5.7.tar.gz", hash = "sha256:6a80f7b98f24d9083ed24608977c09dd608d83f91cccc24c9d2cba6d10e01c10"},
+]
+
 [[package]]
 name = "networkx"
 version = "3.1"
@@ -1894,6 +2893,46 @@ doc = ["nb2plots (>=0.6)", "numpydoc (>=1.5)", "pillow (>=9.4)", "pydata-sphinx-
 extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.10)", "sympy (>=1.10)"]
 test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
+[[package]]
+name = "notebook"
+version = "7.0.2"
+description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "notebook-7.0.2-py3-none-any.whl", hash = "sha256:c77b1499dc9b07ce4f4f26990dcb25b2107b434f2536766b51a72a4228d9a4b6"},
+    {file = "notebook-7.0.2.tar.gz", hash = "sha256:d70d6a07418c829bd5f54337ce993b7105261d9026f9d3fe68e9b8aa1a20da9a"},
+]
+
+[package.dependencies]
+jupyter-server = ">=2.4.0,<3"
+jupyterlab = ">=4.0.2,<5"
+jupyterlab-server = ">=2.22.1,<3"
+notebook-shim = ">=0.2,<0.3"
+tornado = ">=6.2.0"
+
+[package.extras]
+dev = ["hatch", "pre-commit"]
+docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
+test = ["ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.22.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"]
+
+[[package]]
+name = "notebook-shim"
+version = "0.2.3"
+description = "A shim layer for notebook traits and config"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "notebook_shim-0.2.3-py3-none-any.whl", hash = "sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7"},
+    {file = "notebook_shim-0.2.3.tar.gz", hash = "sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9"},
+]
+
+[package.dependencies]
+jupyter-server = ">=1.8,<3"
+
+[package.extras]
+test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"]
+
 [[package]]
 name = "numpy"
 version = "1.24.2"
@@ -2126,6 +3165,17 @@ files = [
 httpx = "*"
 pytest = "*"
 
+[[package]]
+name = "overrides"
+version = "7.4.0"
+description = "A decorator to automatically detect mismatch when overriding a method."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "overrides-7.4.0-py3-none-any.whl", hash = "sha256:3ad24583f86d6d7a49049695efe9933e67ba62f0c7625d53c59fa832ce4b8b7d"},
+    {file = "overrides-7.4.0.tar.gz", hash = "sha256:9502a3cca51f4fac40b5feca985b6703a5c1f6ad815588a7ca9e285b9dca6757"},
+]
+
 [[package]]
 name = "packaging"
 version = "23.1"
@@ -2203,6 +3253,32 @@ sql-other = ["SQLAlchemy (>=1.4.16)"]
 test = ["hypothesis (>=6.34.2)", "pytest (>=7.0.0)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.6.3)"]
 
+[[package]]
+name = "pandocfilters"
+version = "1.5.0"
+description = "Utilities for writing pandoc filters in python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "pandocfilters-1.5.0-py2.py3-none-any.whl", hash = "sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f"},
+    {file = "pandocfilters-1.5.0.tar.gz", hash = "sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38"},
+]
+
+[[package]]
+name = "parso"
+version = "0.8.3"
+description = "A Python Parser"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"},
+    {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"},
+]
+
+[package.extras]
+qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
+testing = ["docopt", "pytest (<6.0.0)"]
+
 [[package]]
 name = "pathtools"
 version = "0.1.2"
@@ -2235,6 +3311,31 @@ gcs = ["google-cloud-storage (>=1.26.0,<2.0.0)"]
 s3 = ["boto3"]
 test = ["mock", "pytest", "pytest-coverage", "typer-cli"]
 
+[[package]]
+name = "pexpect"
+version = "4.8.0"
+description = "Pexpect allows easy control of interactive console applications."
+optional = false
+python-versions = "*"
+files = [
+    {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"},
+    {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"},
+]
+
+[package.dependencies]
+ptyprocess = ">=0.5"
+
+[[package]]
+name = "pickleshare"
+version = "0.7.5"
+description = "Tiny 'shelve'-like database with concurrency support"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pickleshare-0.7.5-py2.py3-none-any.whl", hash = "sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"},
+    {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"},
+]
+
 [[package]]
 name = "pillow"
 version = "9.5.0"
@@ -2343,6 +3444,21 @@ pip = ">=6.0.0"
 [package.extras]
 graphviz = ["graphviz"]
 
+[[package]]
+name = "platformdirs"
+version = "3.10.0"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "platformdirs-3.10.0-py3-none-any.whl", hash = "sha256:d7c24979f292f916dc9cbf8648319032f551ea8c49a4c9bf2fb556a02070ec1d"},
+    {file = "platformdirs-3.10.0.tar.gz", hash = "sha256:b45696dab2d7cc691a3226759c0d3b00c47c8b6e293d96f6436f733303f77f6d"},
+]
+
+[package.extras]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+
 [[package]]
 name = "plotly"
 version = "5.14.1"
@@ -2425,6 +3541,34 @@ files = [
     {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
 ]
 
+[[package]]
+name = "prometheus-client"
+version = "0.17.1"
+description = "Python client for the Prometheus monitoring system."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "prometheus_client-0.17.1-py3-none-any.whl", hash = "sha256:e537f37160f6807b8202a6fc4764cdd19bac5480ddd3e0d463c3002b34462101"},
+    {file = "prometheus_client-0.17.1.tar.gz", hash = "sha256:21e674f39831ae3f8acde238afd9a27a37d0d2fb5a28ea094f0ce25d2cbf2091"},
+]
+
+[package.extras]
+twisted = ["twisted"]
+
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.39"
+description = "Library for building powerful interactive command lines in Python"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "prompt_toolkit-3.0.39-py3-none-any.whl", hash = "sha256:9dffbe1d8acf91e3de75f3b544e4842382fc06c6babe903ac9acb74dc6e08d88"},
+    {file = "prompt_toolkit-3.0.39.tar.gz", hash = "sha256:04505ade687dc26dc4284b1ad19a83be2f2afe83e7a828ace0c72f3a1df72aac"},
+]
+
+[package.dependencies]
+wcwidth = "*"
+
 [[package]]
 name = "proto-plus"
 version = "1.22.2"
@@ -2490,6 +3634,31 @@ files = [
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+description = "Run a subprocess in a pseudo terminal"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "rsa"
 version = "4.9"
@@ -2986,6 +4506,22 @@ dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool",
 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 = "send2trash"
+version = "1.8.2"
+description = "Send file to trash natively under Mac OS X, Windows and Linux"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+files = [
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+]
+
+[package.extras]
+nativelib = ["pyobjc-framework-Cocoa", "pywin32"]
+objc = ["pyobjc-framework-Cocoa"]
+win32 = ["pywin32"]
+
 [[package]]
 name = "sentry-sdk"
 version = "1.28.1"
@@ -3182,6 +4718,17 @@ files = [
     {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
 ]
 
+[[package]]
+name = "soupsieve"
+version = "2.4.1"
+description = "A modern CSS selector implementation for Beautiful Soup."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "spacy"
 version = "3.4.4"
@@ -3438,6 +4985,25 @@ files = [
 [package.dependencies]
 catalogue = ">=2.0.3,<2.1.0"
 
+[[package]]
+name = "stack-data"
+version = "0.6.2"
+description = "Extract data from python stack frames and tracebacks for informative displays"
+optional = false
+python-versions = "*"
+files = [
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+
+[package.dependencies]
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
+pure-eval = "*"
+
+[package.extras]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+
 [[package]]
 name = "sympy"
 version = "1.11.1"
@@ -3466,6 +5032,26 @@ files = [
 [package.extras]
 doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
+[[package]]
+name = "terminado"
+version = "0.17.1"
+description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
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+[package.dependencies]
+ptyprocess = {version = "*", markers = "os_name != \"nt\""}
+pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
+tornado = ">=6.1.0"
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
+
 [[package]]
 name = "thinc"
 version = "8.1.9"
@@ -3597,6 +5183,24 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
+[[package]]
+name = "tinycss2"
+version = "1.2.1"
+description = "A tiny CSS parser"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+webencodings = ">=0.4"
+
+[package.extras]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["flake8", "isort", "pytest"]
+
 [[package]]
 name = "tokenizers"
 version = "0.13.3"
@@ -3728,6 +5332,26 @@ typing-extensions = "*"
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
 
+[[package]]
+name = "tornado"
+version = "6.3.2"
+description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
+optional = false
+python-versions = ">= 3.8"
+files = [
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+    {file = "tornado-6.3.2.tar.gz", hash = "sha256:4b927c4f19b71e627b13f3db2324e4ae660527143f9e1f2e2fb404f3a187e2ba"},
+]
+
 [[package]]
 name = "tqdm"
 version = "4.65.0"
@@ -3748,6 +5372,21 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "traitlets"
+version = "5.9.0"
+description = "Traitlets Python configuration system"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"},
+    {file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"},
+]
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
+
 [[package]]
 name = "transformers"
 version = "4.25.1"
@@ -3892,6 +5531,90 @@ files = [
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 ]
 
+[[package]]
+name = "ujson"
+version = "5.8.0"
+description = "Ultra fast JSON encoder and decoder for Python"
+optional = false
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+]
+
+[[package]]
+name = "uri-template"
+version = "1.3.0"
+description = "RFC 6570 URI Template Processor"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
+    {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
+]
+
+[package.extras]
+dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"]
+
 [[package]]
 name = "urllib3"
 version = "1.26.15"
@@ -3960,6 +5683,59 @@ files = [
     {file = "wasabi-0.10.1.tar.gz", hash = "sha256:c8e372781be19272942382b14d99314d175518d7822057cb7a97010c4259d249"},
 ]
 
+[[package]]
+name = "wcwidth"
+version = "0.2.6"
+description = "Measures the displayed width of unicode strings in a terminal"
+optional = false
+python-versions = "*"
+files = [
+    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
+    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+]
+
+[[package]]
+name = "webcolors"
+version = "1.13"
+description = "A library for working with the color formats defined by HTML and CSS."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "webcolors-1.13-py3-none-any.whl", hash = "sha256:29bc7e8752c0a1bd4a1f03c14d6e6a72e93d82193738fa860cbff59d0fcc11bf"},
+    {file = "webcolors-1.13.tar.gz", hash = "sha256:c225b674c83fa923be93d235330ce0300373d02885cef23238813b0d5668304a"},
+]
+
+[package.extras]
+docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"]
+tests = ["pytest", "pytest-cov"]
+
+[[package]]
+name = "webencodings"
+version = "0.5.1"
+description = "Character encoding aliases for legacy web content"
+optional = false
+python-versions = "*"
+files = [
+    {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
+    {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
+]
+
+[[package]]
+name = "websocket-client"
+version = "1.6.1"
+description = "WebSocket client for Python with low level API options"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "websocket-client-1.6.1.tar.gz", hash = "sha256:c951af98631d24f8df89ab1019fc365f2227c0892f12fd150e935607c79dd0dd"},
+    {file = "websocket_client-1.6.1-py3-none-any.whl", hash = "sha256:f1f9f2ad5291f0225a49efad77abf9e700b6fef553900623060dad6e26503b9d"},
+]
+
+[package.extras]
+docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
 [[package]]
 name = "werkzeug"
 version = "2.2.3"
@@ -3991,6 +5767,17 @@ files = [
 [package.extras]
 test = ["pytest (>=6.0.0)"]
 
+[[package]]
+name = "widgetsnbextension"
+version = "4.0.8"
+description = "Jupyter interactive widgets for Jupyter Notebook"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "widgetsnbextension-4.0.8-py3-none-any.whl", hash = "sha256:2e37f0ce9da11651056280c7efe96f2db052fe8fc269508e3724f5cbd6c93018"},
+    {file = "widgetsnbextension-4.0.8.tar.gz", hash = "sha256:9ec291ba87c2dfad42c3d5b6f68713fa18be1acd7476569516b2431682315c17"},
+]
+
 [[package]]
 name = "wsproto"
 version = "1.2.0"
@@ -4217,4 +6004,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <3.11"
-content-hash = "a0387be75e6a509ccd1fa73e0d5f1a7309699d1b731f28efd2e4a922b24eda2b"
+content-hash = "8415be27bca74656db6c7fd1decf94f95ede7327fc41948610ff4d1510c157f3"
diff --git a/pyproject.toml b/pyproject.toml
index 0d4b779..27245c4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,6 +34,8 @@ pydub = "^0.25.1"
 google-cloud-translate = "^3.11.1"
 en-core-web-sm = {url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.1/en_core_web_sm-3.4.1-py3-none-any.whl"}
 fastcoref = {extras = ["train"], version = "^2.1.6"}
+dsp-ml = "^0.1.5"
+accelerate = "^0.21.0"
 
 
 [build-system]
diff --git a/repository_data.json b/repository_data.json
index 3a095ff..a09ddae 100644
--- a/repository_data.json
+++ b/repository_data.json
@@ -121,14 +121,6 @@
                 }
             }
         },
-        "search": {
-            "word_score": {
-                "local": {
-                    "__is_async": true,
-                     "__is_base": true,
-                    "model_class": "Model",
-                    "request_class": "ModelRequest"
-                }
             }
         }
     }
diff --git a/src/dsp/README.md b/src/dsp/README.md
new file mode 100644
index 0000000..ac99b13
--- /dev/null
+++ b/src/dsp/README.md
@@ -0,0 +1,3 @@
+# DSP (Demonstrate, Search, Predict)
+
+[DSP](https://github.com/stanfordnlp/dspy) to further augment RAG. This module is to specifically make DSP work for long passage answers required for questions rather than short factoid answers.
\ No newline at end of file
diff --git a/src/dsp/__init__.py b/src/dsp/__init__.py
new file mode 100644
index 0000000..49202e0
--- /dev/null
+++ b/src/dsp/__init__.py
@@ -0,0 +1 @@
+from .local import *
\ No newline at end of file
diff --git a/src/dsp/local/Dockerfile b/src/dsp/local/Dockerfile
new file mode 100644
index 0000000..3cea204
--- /dev/null
+++ b/src/dsp/local/Dockerfile
@@ -0,0 +1,15 @@
+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
+
+WORKDIR /app
+
+
+#install requirements
+COPY requirements.txt requirements.txt
+RUN pip3 install -r requirements.txt
+
+# Copy the rest of the application code to the working directory
+COPY . /app/
+EXPOSE 8000
+# Set the entrypoint for the container
+CMD ["hypercorn", "--bind", "0.0.0.0:8000", "api:app"]
\ No newline at end of file
diff --git a/src/dsp/local/README.md b/src/dsp/local/README.md
new file mode 100644
index 0000000..f7c1a85
--- /dev/null
+++ b/src/dsp/local/README.md
@@ -0,0 +1,12 @@
+# DSP
+
+## Test Deployment
+
+- Git clone the repo and cd to the project location.
+- cd to `local`, i.e., `cd ./src/dsp/local`.
+- Use openai api key.
+- Start your docker engine and `docker build -t dsp .`.
+- Do `docker run -p 8000:8000 dsp`.
+- `curl -X POST -H "Content-Type: application/json" -d '{"text": TEXT, "train": TRAIN, "server": SERVER, "model": MODEL}' http://0.0.0.0:8000`.
+
+`TEXT` is the question. `TRAIN` is the labeled samples required in list format. Ex: `[("Question1", ["Answer1"]), ("Question2", ["Answer2"])]`. `SERVER` is the retrieval model server's api endpoint. Make sure to implement the server so the endpoints work as required for [this](https://github.com/stanfordnlp/dspy/blob/main/dsp/modules/colbertv2.py). `MODEL` is the hugging face model that you may want to use instead of gpt-3+, it is optional. Leave it blank if you want to use gpt-3+.
diff --git a/src/dsp/local/__init__.py b/src/dsp/local/__init__.py
new file mode 100644
index 0000000..3940fff
--- /dev/null
+++ b/src/dsp/local/__init__.py
@@ -0,0 +1,2 @@
+from .request import ModelRequest
+from .model import Model
diff --git a/src/dsp/local/api.py b/src/dsp/local/api.py
new file mode 100644
index 0000000..74c6979
--- /dev/null
+++ b/src/dsp/local/api.py
@@ -0,0 +1,24 @@
+from model import Model
+from request import ModelRequest
+from quart import Quart, request
+import aiohttp
+
+app = Quart(__name__)
+
+model = None
+
+@app.before_serving
+async def startup():
+    app.client = aiohttp.ClientSession()
+    global model
+    model = Model(app)
+
+@app.route('/', methods=['POST'])
+async def embed():
+    global model
+    data = await request.get_json()
+    req = ModelRequest(**data)
+    return model.inference(req)
+
+if __name__ == "__main__":
+    app.run()
\ No newline at end of file
diff --git a/src/dsp/local/model.py b/src/dsp/local/model.py
new file mode 100644
index 0000000..b6762f2
--- /dev/null
+++ b/src/dsp/local/model.py
@@ -0,0 +1,18 @@
+from request import ModelRequest
+import dsp
+from utils import DSP
+
+
+class Model():
+    def __new__(cls, context):
+        cls.context = context
+        if not hasattr(cls, 'instance'):
+            cls.dsp = DSP()
+            cls.instance = super(Model, cls).__new__(cls)
+        return cls.instance
+    
+
+    def inference(self, request: ModelRequest):
+        train = [dsp.Example(question=question, answer=answer) for question, answer in request.train]
+        answer, history = self.dsp(request.text, train, request.server, request.hf_model)
+        return {"text": answer, "history": history}
diff --git a/src/dsp/local/request.py b/src/dsp/local/request.py
new file mode 100644
index 0000000..9840c93
--- /dev/null
+++ b/src/dsp/local/request.py
@@ -0,0 +1,13 @@
+import json
+
+
+class ModelRequest():
+    def __init__(self, text, train, server: str, model: str=None):
+        self.text = text
+        self.train = train
+        self.server = server
+        self.hf_model = model
+
+    def to_json(self):
+        return json.dumps(self, default=lambda o: o.__dict__,
+                          sort_keys=True, indent=4)
\ No newline at end of file
diff --git a/src/dsp/local/requirements.txt b/src/dsp/local/requirements.txt
new file mode 100644
index 0000000..2113f4b
--- /dev/null
+++ b/src/dsp/local/requirements.txt
@@ -0,0 +1,4 @@
+dsp-ml
+accelerate
+torch
+tiktoken
\ No newline at end of file
diff --git a/src/dsp/local/utils.py b/src/dsp/local/utils.py
new file mode 100644
index 0000000..a6c9386
--- /dev/null
+++ b/src/dsp/local/utils.py
@@ -0,0 +1,191 @@
+import os
+import dsp
+import tiktoken
+from dsp.utils import deduplicate
+
+
+openai_key = os.getenv("OPENAI_API_KEY")
+
+
+class DSP():
+    def __init__(self):
+        self.lm = dsp.GPT3(model='gpt-3.5-turbo-16k', api_key=openai_key, model_type='chat')
+        self.sbert_reranker = dsp.SentenceTransformersCrossEncoder("cross-encoder/ms-marco-MiniLM-L-12-v2")
+
+        self.encoding = tiktoken.get_encoding("cl100k_base")
+
+        self.qa_template_with_CoT = None
+        self.rewrite_template = None
+        self.hop_template = None
+        self.train = None
+        self.__generate_templates()
+
+    def __call__(self, server: str, hf_model: str, question: str, train) -> str:
+        self.rm = dsp.ColBERTv2(url=server)
+        try:
+            self.lm = dsp.HFModel(hf_model)
+        except:
+            self.lm = dsp.GPT3(model=hf_model, api_key=openai_key, model_type='chat')
+        dsp.settings.configure(lm=self.lm, rm=self.rm, reranker=self.sbert_reranker)
+        self.train = train
+        return self.multihop_QA_v2(question), self.lm.inspect_history(n=3)
+
+    def __generate_templates(self):
+        Question = dsp.Type(prefix="Question:", desc="${the question to be answered}")
+        Answer = dsp.Type(prefix="Answer:", desc="${a crisp and concise answer without redundant information}", format=dsp.format_answers)
+
+        qa_template = dsp.Template(instructions="Answer questions with concise answers without redundant information.", question=Question(), answer=Answer())
+
+        Rationale = dsp.Type(
+            prefix="Rationale: Let's think step by step.",
+            desc="${a step-by-step deduction that identifies the correct response, which will be provided below}"
+        )
+        
+        self.qa_template_with_CoT = dsp.Template(
+            instructions=qa_template.instructions,
+            context=Context(), question=Question(), rationale=Rationale(), answer=Answer()
+        )
+        
+        Context = dsp.Type(
+            prefix="Context:\n",
+            desc="${sources that may contain relevant content}",
+            format=dsp.passages2text
+        )
+        
+        SearchRationale = dsp.Type(
+            prefix="Rationale: Let's think step by step. To answer this question, we first need to find out",
+            desc="${the missing information}"
+        )
+        
+        SearchQuery = dsp.Type(
+            prefix="Search Query:",
+            desc="${a simple question for seeking the missing information}"
+        )
+        
+        self.rewrite_template = dsp.Template(
+            instructions="Write a search query that will help answer a complex question.",
+            question=Question(), rationale=SearchRationale(), query=SearchQuery()
+        )
+
+        CondenseRationale = dsp.Type(
+            prefix="Rationale: Let's think step by step. Based on the context, we have learned the following.",
+            desc="${information from the context that provides useful clues}"
+        )
+        
+        self.hop_template = dsp.Template(
+            instructions=self.rewrite_template.instructions,
+            context=Context(), question=Question(), rationale=CondenseRationale(), query=SearchQuery()
+        )
+
+        True_Answer = dsp.Type(prefix="The correct answer: ", desc="${The true answer}")
+        Predicted_Answer = dsp.Type(prefix="Another answer: ", desc="${The answer to compare to}")
+        Resp = dsp.Type(prefix="Response: ", desc="${True (or) False}")
+
+        self.answer_match_template = dsp.Template(
+            instructions="Return True if the essence of both answers are same else return False. Respond with only 'True' and 'False'.",
+            true_answer=True_Answer(), predicted_answer=Predicted_Answer(), response=Resp()
+        )
+
+    def __answer_match(self, true_ans, pred_ans):
+        match_example = dsp.Example(true_answer=true_ans, predicted_answer=pred_ans, demos=[])
+        _, completions = dsp.generate(self.answer_match_template)(match_example, stage='answer_match')
+        return completions[0].response
+    
+    def __count_tokens(self, text):
+        num_tokens = len(self.encoding.encode(text))
+        return num_tokens
+
+    @dsp.transformation
+    def QA_predict(self, example: dsp.Example, sc=True, return_store=False):
+        temp = str(example)
+        if sc:
+            example, completions = dsp.generate(self.qa_template_with_CoT, n=20, temperature=0.7)(example, stage='qa')
+            completions = dsp.majority(completions)
+        else:
+            example, completions = dsp.generate(self.qa_template_with_CoT)(example, stage='qa')
+    
+        if return_store:
+            len_tokens = self.__count_tokens(temp)
+            store = {
+                "question": example.question,
+                "context": example.context,
+                "rationale": completions[0].rationale,
+                "len_tokens": len_tokens
+            }
+            return example.copy(answer=completions.answer), store
+        return example.copy(answer=completions.answer)
+
+    @dsp.transformation
+    def multihop_search_v1(self, example: dsp.Example, max_hops=2, k=2) -> dsp.Example:
+        example.context = []
+    
+        for hop in range(max_hops):
+            # Generate a query based
+            template = self.rewrite_template if hop == 0 else self.hop_template
+            example, completions = dsp.generate(template)(example, stage=f'h{hop}')
+
+            # Retrieve k results based on the query generated
+            passages = dsp.retrieve(completions.query, k=k)
+
+            # Update the context by concatenating old and new passages
+            example.context = deduplicate(example.context + passages)
+
+        return example
+
+    @dsp.transformation
+    def multihop_attempt(self, d: dsp.Example) -> dsp.Example:
+        # Prepare unaugmented demonstrations for the example.
+        x = dsp.Example(question=d.question, demos=dsp.all_but(self.train, d))
+    
+        # Search. 
+        # Annotate demonstrations for multihop_search_v2 with the simpler multihop_search_v1 pipeline.
+        x = self.multihop_search_v1(x)
+    
+        # Predict. And skip examples where predict fails.
+        x = self.QA_predict(x, sc=False)
+        if not self.__answer_match(x.answer, d.answer) == "True": return None
+    
+        return d.copy(**x)
+
+    @dsp.transformation
+    def multihop_demonstrate(self, x: dsp.Example) -> dsp.Example:
+        demos = dsp.sample(self.train, k=7)
+        x.demos = dsp.annotate(self.multihop_attempt)(demos, k=3, return_all=True)
+        return x
+
+    @dsp.transformation
+    def multihop_search_v2(self, example: dsp.Example, max_hops=2, k=5) -> dsp.Example:
+        example.context = []
+        store = []
+        
+        for hop in range(max_hops):
+            # Generate queries
+            template = self.rewrite_template if hop == 0 else self.hop_template
+
+            len_tokens = self.__count_tokens(str(example))
+            example, completions = dsp.generate(template, n=10, temperature=0.7)(example, stage=f'h{hop}')
+        
+            # Collect the queries and search with result fusion
+            queries = [c.query for c in completions] + [example.question]
+            example.context = dsp.retrieveEnsemble(queries, k=k)
+
+            # Arrange the passages for the next hop
+            if hop > 0:
+                example.context = [completions[0].rationale] + example.context
+
+            store.append({
+                "question": queries,
+                "rationale": completions[0].rationale,
+                "context": example.context,
+                "len_tokens": len_tokens
+            })
+    
+        return example, store
+
+    def multihop_QA_v2(self, question: str) -> str:
+        x = dsp.Example(question=question)
+        x = self.multihop_demonstrate(x)
+        x, stores = self.multihop_search_v2(x)
+        x, store = self.QA_predict(x, return_store=True)
+        stores.append(store)
+        return x.answer, stores
\ No newline at end of file