From 5b0ebe4d1116ff88691a0477e30eee6adf444a03 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 5 Feb 2024 17:20:05 +0000 Subject: [PATCH 01/22] Bump fastapi from 0.103.2 to 0.109.1 Bumps [fastapi](https://github.com/tiangolo/fastapi) from 0.103.2 to 0.109.1. - [Release notes](https://github.com/tiangolo/fastapi/releases) - [Commits](https://github.com/tiangolo/fastapi/compare/0.103.2...0.109.1) --- updated-dependencies: - dependency-name: fastapi dependency-type: direct:production ... Signed-off-by: dependabot[bot] --- poetry.lock | 25 ++++++++++++------------- pyproject.toml | 2 +- 2 files changed, 13 insertions(+), 14 deletions(-) diff --git a/poetry.lock b/poetry.lock index 43fba777..a77b44a6 100644 --- a/poetry.lock +++ b/poetry.lock @@ -888,23 +888,22 @@ files = [ [[package]] name = "fastapi" -version = "0.103.2" +version = "0.109.1" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = true -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "fastapi-0.103.2-py3-none-any.whl", hash = "sha256:3270de872f0fe9ec809d4bd3d4d890c6d5cc7b9611d721d6438f9dacc8c4ef2e"}, - {file = "fastapi-0.103.2.tar.gz", hash = "sha256:75a11f6bfb8fc4d2bec0bd710c2d5f2829659c0e8c0afd5560fdda6ce25ec653"}, + {file = "fastapi-0.109.1-py3-none-any.whl", hash = "sha256:510042044906b17b6d9149135d90886ade170bf615efcfb5533f568ae6d88534"}, + {file = "fastapi-0.109.1.tar.gz", hash = "sha256:5402389843a3561918634eb327e86b9ae98645a9e7696bede9074449c48d610a"}, ] [package.dependencies] -anyio = ">=3.7.1,<4.0.0" pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.27.0,<0.28.0" -typing-extensions = ">=4.5.0" +starlette = ">=0.35.0,<0.36.0" +typing-extensions = ">=4.8.0" [package.extras] -all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] [[package]] name = "fastjsonschema" @@ -4443,13 +4442,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] [[package]] name = "starlette" -version = "0.27.0" +version = "0.35.1" description = "The little ASGI library that shines." optional = true -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"}, - {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"}, + {file = "starlette-0.35.1-py3-none-any.whl", hash = "sha256:50bbbda9baa098e361f398fda0928062abbaf1f54f4fadcbe17c092a01eb9a25"}, + {file = "starlette-0.35.1.tar.gz", hash = "sha256:3e2639dac3520e4f58734ed22553f950d3f3cb1001cd2eaac4d57e8cdc5f66bc"}, ] [package.dependencies] @@ -5467,4 +5466,4 @@ llama-index-notebooks = ["bitsandbytes", "gradio", "ipykernel", "nbconvert"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "5789c283da2f80d3802af9df98d9f02c6dfe6cde85ae39a785134eaef9f2dabf" +content-hash = "a10ea29dfad11b5d7020a0d33e7fdce0de390db29e7496da4e06f895db1449f2" diff --git a/pyproject.toml b/pyproject.toml index 1b82fa2f..127e3a31 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,7 +21,7 @@ accelerate = "^0.25.0" bitsandbytes = { version="^0.41.1", optional=true } datasets = { version="^2.16.1", optional=true } faiss-cpu = { version="^1.7.4", optional=true } -fastapi = { version="^0.103.1", optional=true } +fastapi = { version="^0.109.1", optional=true } gitpython = "^3.1.41" gradio = { version = "^4.12.0", optional=true } httpx = "^0.26.0" From 2aaeebb3ee180a6e87287161e9d6bc09cab87a4d Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 12 Feb 2024 17:47:06 +0000 Subject: [PATCH 02/22] Bump python-multipart from 0.0.6 to 0.0.7 Bumps [python-multipart](https://github.com/andrew-d/python-multipart) from 0.0.6 to 0.0.7. - [Release notes](https://github.com/andrew-d/python-multipart/releases) - [Changelog](https://github.com/Kludex/python-multipart/blob/master/CHANGELOG.md) - [Commits](https://github.com/andrew-d/python-multipart/compare/0.0.6...0.0.7) --- updated-dependencies: - dependency-name: python-multipart dependency-type: indirect ... Signed-off-by: dependabot[bot] --- poetry.lock | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/poetry.lock b/poetry.lock index 43fba777..214fa764 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3453,17 +3453,17 @@ six = ">=1.5" [[package]] name = "python-multipart" -version = "0.0.6" +version = "0.0.7" description = "A streaming multipart parser for Python" -optional = true +optional = false python-versions = ">=3.7" files = [ - {file = "python_multipart-0.0.6-py3-none-any.whl", hash = "sha256:ee698bab5ef148b0a760751c261902cd096e57e10558e11aca17646b74ee1c18"}, - {file = "python_multipart-0.0.6.tar.gz", hash = "sha256:e9925a80bb668529f1b67c7fdb0a5dacdd7cbfc6fb0bff3ea443fe22bdd62132"}, + {file = "python_multipart-0.0.7-py3-none-any.whl", hash = "sha256:b1fef9a53b74c795e2347daac8c54b252d9e0df9c619712691c1cc8021bd3c49"}, + {file = "python_multipart-0.0.7.tar.gz", hash = "sha256:288a6c39b06596c1b988bb6794c6fbc80e6c369e35e5062637df256bee0c9af9"}, ] [package.extras] -dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==1.7.3)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"] +dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==2.2.0)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"] [[package]] name = "pytz" From fd4accc8611b396cab6cfd2d7786fce8226229cf Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 22 Feb 2024 22:15:18 +0000 Subject: [PATCH 03/22] Bump gradio from 4.15.0 to 4.19.2 Bumps [gradio](https://github.com/gradio-app/gradio) from 4.15.0 to 4.19.2. - [Release notes](https://github.com/gradio-app/gradio/releases) - [Changelog](https://github.com/gradio-app/gradio/blob/main/CHANGELOG.md) - [Commits](https://github.com/gradio-app/gradio/compare/gradio@4.15.0...gradio@4.19.2) --- updated-dependencies: - dependency-name: gradio dependency-type: direct:production ... Signed-off-by: dependabot[bot] --- poetry.lock | 70 +++++++++++++++++++++++++------------------------- pyproject.toml | 2 +- 2 files changed, 36 insertions(+), 36 deletions(-) diff --git a/poetry.lock b/poetry.lock index 43fba777..484d8799 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1169,13 +1169,13 @@ test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre [[package]] name = "gradio" -version = "4.15.0" +version = "4.19.2" description = "Python library for easily interacting with trained machine learning models" optional = true python-versions = ">=3.8" files = [ - {file = "gradio-4.15.0-py3-none-any.whl", hash = "sha256:fd6724d2caf5e3dc4ae4a43f728724cd62cae3095bd52b2873f92134606fe233"}, - {file = "gradio-4.15.0.tar.gz", hash = "sha256:f471479591c8ac31a0689ff6a7e3109475744e6d611bb3e727728e472109efb8"}, + {file = "gradio-4.19.2-py3-none-any.whl", hash = "sha256:acab4a35f556dbc3ae637469312738d154bcb73f0b8d5f4f65e4d067ecb1e0b1"}, + {file = "gradio-4.19.2.tar.gz", hash = "sha256:6fe5815bb4dfaeed1fc74223bffd91da70a1b463158af8c5e03d01bb09068a1d"}, ] [package.dependencies] @@ -1183,8 +1183,8 @@ aiofiles = ">=22.0,<24.0" altair = ">=4.2.0,<6.0" fastapi = "*" ffmpy = "*" -gradio-client = "0.8.1" -httpx = "*" +gradio-client = "0.10.1" +httpx = ">=0.24.1" huggingface-hub = ">=0.19.3" importlib-resources = ">=1.3,<7.0" jinja2 = "<4.0" @@ -1197,9 +1197,9 @@ pandas = ">=1.0,<3.0" pillow = ">=8.0,<11.0" pydantic = ">=2.0" pydub = "*" -python-multipart = "*" +python-multipart = ">=0.0.9" pyyaml = ">=5.0,<7.0" -ruff = ">=0.1.7" +ruff = ">=0.2.2" semantic-version = ">=2.0,<3.0" tomlkit = "0.12.0" typer = {version = ">=0.9,<1.0", extras = ["all"]} @@ -1211,18 +1211,18 @@ oauth = ["authlib", "itsdangerous"] [[package]] name = "gradio-client" -version = "0.8.1" +version = "0.10.1" description = "Python library for easily interacting with trained machine learning models" optional = true python-versions = ">=3.8" files = [ - 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files = [ {file = "websockets-11.0.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac"}, @@ -5458,6 +6890,21 @@ files = [ idna = ">=2.0" multidict = ">=4.0" +[[package]] +name = "zipp" +version = "3.17.0" +description = "Backport of pathlib-compatible object wrapper for zip files" +optional = false +python-versions = ">=3.8" +files = [ + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, +] + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + [extras] api-bot = ["fastapi", "pydantic", "requests", "uvicorn"] azure = ["pulumi", "pulumi-azure-native"] @@ -5467,4 +6914,4 @@ llama-index-notebooks = ["bitsandbytes", "gradio", "ipykernel", "nbconvert"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "5789c283da2f80d3802af9df98d9f02c6dfe6cde85ae39a785134eaef9f2dabf" +content-hash = "f61b25dbc73496bfe41a4a747f550f138988b262e861fd9c5bd3b6b90489c7aa" diff --git a/pyproject.toml b/pyproject.toml index 1b82fa2f..db7b24d3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,8 +28,7 @@ httpx = "^0.26.0" ipykernel = { version="^6.23.2", optional=true } langchain = "^0.0.354" llama-cpp-python = "^0.2.27" -llama-index = "^0.9.29" -llama-hub = "^0.0.74" +llama-index = "^0.10.0" nbconvert = { version = "^7.8.0", optional = true } nest_asyncio = "^1.5.8" openai = "^1.6.1" @@ -44,6 +43,12 @@ sentence-transformers = "^2.2.2" torch = "^2.1.2" transformers = "^4.36.2" uvicorn = { version="^0.23.2", optional=true } +llama-index-readers-github = "0.1.7" +llama-index-llms-azure-openai = "^0.1.4" +llama-index-llms-openai = "^0.1.6" +llama-index-llms-huggingface = "^0.1.3" +llama-index-llms-llama-cpp = "^0.1.3" +llama-index-readers-file = "^0.1.6" [tool.poetry.group.dev.dependencies] black = "^23.3.0" diff --git a/reginald/models/create_index.py b/reginald/models/create_index.py index efe32dbb..f3956670 100644 --- a/reginald/models/create_index.py +++ b/reginald/models/create_index.py @@ -2,14 +2,13 @@ import pathlib from typing import Any -from llama_index.llms import ( +from llama_index.core.base.llms.types import ( CompletionResponse, CompletionResponseGen, - CustomLLM, LLMMetadata, ) -from llama_index.llms.base import llm_completion_callback -from llama_index.llms.custom import CustomLLM +from llama_index.core.llms.callbacks import llm_completion_callback +from llama_index.core.llms.custom import CustomLLM from reginald.models.models.llama_index import DataIndexCreator, setup_service_context from reginald.models.setup_llm import DEFAULT_ARGS diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py index c516c818..8b3963b7 100644 --- a/reginald/models/models/llama_index.py +++ b/reginald/models/models/llama_index.py @@ -13,30 +13,29 @@ import pandas as pd from git import Repo from langchain.embeddings import HuggingFaceEmbeddings -from llama_hub.github_repo import GithubClient, GithubRepositoryReader - -# from llama_hub.github_repo_collaborators import ( -# GitHubCollaboratorsClient, -# GitHubRepositoryCollaboratorsReader, -# ) -from llama_hub.github_repo_issues import ( - GitHubIssuesClient, - GitHubRepositoryIssuesReader, -) -from llama_index import ( +from llama_index.core import ( Document, PromptHelper, + PromptTemplate, ServiceContext, + SimpleDirectoryReader, StorageContext, + VectorStoreIndex, load_index_from_storage, ) -from llama_index.indices.vector_store.base import VectorStoreIndex -from llama_index.llms import AzureOpenAI, HuggingFaceLLM, LlamaCPP, OpenAI -from llama_index.llms.base import BaseLLM -from llama_index.llms.llama_utils import completion_to_prompt, messages_to_prompt -from llama_index.prompts import PromptTemplate -from llama_index.readers import SimpleDirectoryReader -from llama_index.response.schema import RESPONSE_TYPE +from llama_index.core.base.llms.base import BaseLLM +from llama_index.core.base.response.schema import RESPONSE_TYPE +from llama_index.legacy.llms.llama_utils import completion_to_prompt, messages_to_prompt +from llama_index.llms.azure_openai import AzureOpenAI +from llama_index.llms.huggingface import HuggingFaceLLM +from llama_index.llms.llama_cpp import LlamaCPP +from llama_index.llms.openai import OpenAI +from llama_index.readers.github import ( + GithubClient, + GitHubIssuesClient, + GitHubRepositoryIssuesReader, + GithubRepositoryReader, +) from reginald.models.models.base import MessageResponse, ResponseModel from reginald.utils import get_env_var From 7f97e3b6d6364c6e1c3a1042912f0dcc6e944729 Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Wed, 28 Feb 2024 13:15:29 +0000 Subject: [PATCH 05/22] add llama-index-embeddings-langchain --- poetry.lock | 16 +++++++++++++++- pyproject.toml | 1 + 2 files changed, 16 insertions(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 82680274..41dcb1c7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2545,6 +2545,20 @@ local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1. postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"] query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"] +[[package]] +name = "llama-index-embeddings-langchain" +version = "0.1.2" +description = "llama-index embeddings langchain integration" +optional = false +python-versions = ">=3.8.1,<4.0" +files = [ + {file = "llama_index_embeddings_langchain-0.1.2-py3-none-any.whl", hash = "sha256:4c771cc4cee3b21d63054663c56b1b0d1b00f5d109b38da7c19d8e7505ab7ee3"}, + {file = "llama_index_embeddings_langchain-0.1.2.tar.gz", hash = "sha256:baf6e20649fa984bc1858a16ba90ba38e8a874611cfaf99015b3d77ef7e1ba69"}, +] + +[package.dependencies] +llama-index-core = ">=0.10.1,<0.11.0" + [[package]] name = "llama-index-embeddings-openai" version = "0.1.6" @@ -6914,4 +6928,4 @@ llama-index-notebooks = ["bitsandbytes", "gradio", "ipykernel", "nbconvert"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "f61b25dbc73496bfe41a4a747f550f138988b262e861fd9c5bd3b6b90489c7aa" +content-hash = "8901fb52f4c13ff3f7b716213aaeac5e774689c16f6f67b45be7cad925830545" diff --git a/pyproject.toml b/pyproject.toml index db7b24d3..4bef41d6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -49,6 +49,7 @@ llama-index-llms-openai = "^0.1.6" llama-index-llms-huggingface = "^0.1.3" llama-index-llms-llama-cpp = "^0.1.3" llama-index-readers-file = "^0.1.6" +llama-index-embeddings-langchain = "^0.1.2" [tool.poetry.group.dev.dependencies] black = "^23.3.0" From b730796c14bc6634408268fb81484ab4459e82c6 Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Wed, 28 Feb 2024 14:00:25 +0000 Subject: [PATCH 06/22] remove deprecated service context --- reginald/models/create_index.py | 10 +++--- reginald/models/models/llama_index.py | 48 +++++++++++++-------------- 2 files changed, 28 insertions(+), 30 deletions(-) diff --git a/reginald/models/create_index.py b/reginald/models/create_index.py index f3956670..debdd015 100644 --- a/reginald/models/create_index.py +++ b/reginald/models/create_index.py @@ -10,14 +10,14 @@ from llama_index.core.llms.callbacks import llm_completion_callback from llama_index.core.llms.custom import CustomLLM -from reginald.models.models.llama_index import DataIndexCreator, setup_service_context +from reginald.models.models.llama_index import DataIndexCreator, setup_settings from reginald.models.setup_llm import DEFAULT_ARGS from reginald.parser_utils import Parser, get_args class DummyLLM(CustomLLM): """ - Dummy LLM for passing into the ServiceContext below to create the index. + Dummy LLM for passing into the Settings below to create the index. The minimum required attributes are set here, but this LLM is not used anywhere else. """ @@ -64,8 +64,8 @@ def main(): args = get_args(parser) # pass args to create data index - logging.info("Setting up service context...") - service_context = setup_service_context( + logging.info("Setting up settings...") + settings = setup_settings( llm=DummyLLM(), max_input_size=args.max_input_size or DEFAULT_ARGS["max_input_size"], num_output=args.num_output or DEFAULT_ARGS["num_output"], @@ -80,7 +80,7 @@ def main(): data_creator = DataIndexCreator( data_dir=pathlib.Path(args.data_dir or DEFAULT_ARGS["data_dir"]).resolve(), which_index=args.which_index or DEFAULT_ARGS["which_index"], - service_context=service_context, + settings=settings, ) data_creator.create_index() data_creator.save_index() diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py index 8b3963b7..7c8a3ef5 100644 --- a/reginald/models/models/llama_index.py +++ b/reginald/models/models/llama_index.py @@ -17,7 +17,7 @@ Document, PromptHelper, PromptTemplate, - ServiceContext, + Settings, SimpleDirectoryReader, StorageContext, VectorStoreIndex, @@ -65,16 +65,16 @@ def compute_default_chunk_size(max_input_size: int, k: int) -> int: return ceil(max_input_size / (k + 1)) -def setup_service_context( +def setup_settings( llm: BaseLLM, max_input_size: int | str, num_output: int | str, chunk_overlap_ratio: float | str, chunk_size: int | str | None = None, k: int | str | None = None, -) -> ServiceContext: +) -> Settings: """ - Helper function to set up the service context. + Helper function to set up the settings. Can pass in either chunk_size or k. If chunk_size is not provided, it is computed as `ceil(max_input_size / k)`. @@ -99,8 +99,8 @@ def setup_service_context( Returns ------- - ServiceContext - Service context to use to create the index vectors. + Settings + Settings to use to create the index vectors. """ if chunk_size is None and k is None: raise ValueError("Either chunk_size or k must be provided.") @@ -136,15 +136,12 @@ def setup_service_context( chunk_overlap_ratio=chunk_overlap_ratio, ) - # construct the service context - service_context = ServiceContext.from_defaults( - llm=llm, - embed_model=embed_model, - prompt_helper=prompt_helper, - chunk_size=chunk_size, - ) - - return service_context + # construct the settings + Settings.llm = llm + Settings.embed_model = embed_model + Settings.prompt_helper = prompt_helper + Settings.chunk_size = chunk_size + return Settings class DataIndexCreator: @@ -152,7 +149,7 @@ def __init__( self, data_dir: pathlib.Path | str, which_index: str, - service_context: ServiceContext, + settings: Settings, ) -> None: """ Class for creating the data index. @@ -164,12 +161,12 @@ def __init__( which_index : str Which index to construct (if force_new_index is True) or use. Options are "handbook", "wikis", "public", or "all_data". - service_context : ServiceContext - Service context to use to create the index. + settings : Settings + Settings to use to create the index. """ self.data_dir: pathlib.Path = pathlib.Path(data_dir) self.which_index: str = which_index - self.service_context: ServiceContext = service_context + self.settings: Settings = settings self.documents: list[str] = [] self.index: VectorStoreIndex | None = None @@ -477,7 +474,7 @@ def create_index(self) -> VectorStoreIndex: # create index logging.info("Creating index...") self.index = VectorStoreIndex.from_documents( - self.documents, service_context=self.service_context + self.documents, settings=self.settings ) return self.index @@ -486,7 +483,7 @@ def save_index(self, directory: pathlib.Path | None = None) -> None: if directory is None: directory = self.data_dir / LLAMA_INDEX_DIR / self.which_index - # save the service context and persist the index + # save the settings and persist the index logging.info(f"Saving the index in {directory}...") self.index.storage_context.persist(persist_dir=directory) @@ -565,8 +562,8 @@ def __init__( # set up LLM llm = self._prep_llm() - # set up service context - service_context = setup_service_context( + # set up settings + settings = setup_settings( llm=llm, max_input_size=self.max_input_size, num_output=self.num_output, @@ -579,7 +576,7 @@ def __init__( data_creator = DataIndexCreator( which_index=self.which_index, data_dir=self.data_dir, - service_context=service_context, + settings=settings, ) self.index = data_creator.create_index() data_creator.save_index() @@ -592,7 +589,8 @@ def __init__( logging.info("Loading the pre-processed index") self.index = load_index_from_storage( - storage_context=storage_context, service_context=service_context + storage_context=storage_context, + settings=settings, ) response_mode = "simple_summarize" From 0b9eda2d5f56e42b83a6e450443187df1298e1c2 Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Wed, 28 Feb 2024 14:05:39 +0000 Subject: [PATCH 07/22] add retries --- reginald/models/models/llama_index.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py index 7c8a3ef5..9936cc10 100644 --- a/reginald/models/models/llama_index.py +++ b/reginald/models/models/llama_index.py @@ -262,6 +262,7 @@ def _load_handbook(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, + retries=3, filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE), filter_directories=(["content"], GithubRepositoryReader.FilterType.INCLUDE), ) @@ -288,6 +289,7 @@ def _load_rse_course(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, + retries=3, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, @@ -316,6 +318,7 @@ def _load_rds_course(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, + retries=3, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, @@ -344,6 +347,7 @@ def _load_turing_way(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, + retries=3, filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE), ) self.documents.extend(turing_way_loader.load_data(branch="main")) @@ -370,6 +374,7 @@ def _load_hut23(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, + retries=3, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, From 21bd180d18b2e49d26b5496d1bc7e3cc265c6c99 Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Mon, 4 Mar 2024 16:03:06 +0000 Subject: [PATCH 08/22] up no. of retries to 10 --- reginald/models/models/llama_index.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py index 9936cc10..75d1346a 100644 --- a/reginald/models/models/llama_index.py +++ b/reginald/models/models/llama_index.py @@ -262,7 +262,7 @@ def _load_handbook(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=3, + retries=10, filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE), filter_directories=(["content"], GithubRepositoryReader.FilterType.INCLUDE), ) @@ -289,7 +289,7 @@ def _load_rse_course(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=3, + retries=10, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, @@ -318,7 +318,7 @@ def _load_rds_course(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=3, + retries=10, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, @@ -347,7 +347,7 @@ def _load_turing_way(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=3, + retries=10, filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE), ) self.documents.extend(turing_way_loader.load_data(branch="main")) @@ -374,7 +374,7 @@ def _load_hut23(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=3, + retries=10, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, From 5c1048abd1354a7f7a045687e01c1dadfafc797b Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Fri, 15 Mar 2024 14:17:56 +0000 Subject: [PATCH 09/22] remove data mounting on bot --- azure/production/__main__.py | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/azure/production/__main__.py b/azure/production/__main__.py index 9d7945cf..8e5c56aa 100644 --- a/azure/production/__main__.py +++ b/azure/production/__main__.py @@ -132,16 +132,6 @@ resource_group_name=resource_group.name, restart_policy=containerinstance.ContainerGroupRestartPolicy.ALWAYS, sku=containerinstance.ContainerGroupSku.STANDARD, - volumes=[ - containerinstance.VolumeArgs( - azure_file=containerinstance.AzureFileVolumeArgs( - share_name=file_share.name, - storage_account_key=storage_account_key, - storage_account_name=storage_account.name, - ), - name="llama-data", - ), - ], ) # Define the container group for the data creation From bd98b51fad67d539f86b96067b3adf5110fae20a Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Fri, 15 Mar 2024 14:18:41 +0000 Subject: [PATCH 10/22] try with handbook data --- azure/production/__main__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/azure/production/__main__.py b/azure/production/__main__.py index 8e5c56aa..8ae58b0d 100644 --- a/azure/production/__main__.py +++ b/azure/production/__main__.py @@ -150,7 +150,7 @@ ), containerinstance.EnvironmentVariableArgs( name="LLAMA_INDEX_WHICH_INDEX", - value="all_data", + value="handbook", ), containerinstance.EnvironmentVariableArgs( name="LLAMA_INDEX_MAX_INPUT_SIZE", From 4d36f67b4cc2b6262bb8b7a04d6bcfca7c065b3d Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Fri, 15 Mar 2024 14:21:42 +0000 Subject: [PATCH 11/22] set retries to 3 --- reginald/models/models/llama_index.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py index 75d1346a..9936cc10 100644 --- a/reginald/models/models/llama_index.py +++ b/reginald/models/models/llama_index.py @@ -262,7 +262,7 @@ def _load_handbook(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=10, + retries=3, filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE), filter_directories=(["content"], GithubRepositoryReader.FilterType.INCLUDE), ) @@ -289,7 +289,7 @@ def _load_rse_course(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=10, + retries=3, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, @@ -318,7 +318,7 @@ def _load_rds_course(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=10, + retries=3, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, @@ -347,7 +347,7 @@ def _load_turing_way(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=10, + retries=3, filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE), ) self.documents.extend(turing_way_loader.load_data(branch="main")) @@ -374,7 +374,7 @@ def _load_hut23(self, gh_token: str) -> None: verbose=False, concurrent_requests=1, timeout=60, - retries=10, + retries=3, filter_file_extensions=( [".md", ".ipynb"], GithubRepositoryReader.FilterType.INCLUDE, From 92b92a263e4d00e60525b7a4f40f5631479a50ac Mon Sep 17 00:00:00 2001 From: rchan Date: Tue, 2 Apr 2024 16:41:18 +0200 Subject: [PATCH 12/22] update other libraries --- poetry.lock | 478 ++++++++++++++++++++++++++++++------------------- pyproject.toml | 37 ++-- 2 files changed, 309 insertions(+), 206 deletions(-) diff --git a/poetry.lock b/poetry.lock index 41dcb1c7..cb7385de 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "accelerate" -version = "0.25.0" +version = "0.28.0" description = "Accelerate" optional = false python-versions = ">=3.8.0" files = [ - {file = "accelerate-0.25.0-py3-none-any.whl", hash = "sha256:c7bb817eb974bba0ff3ea1ba0f24d55afb86d50e3d4fe98d6922dc69cf2ccff1"}, - {file = "accelerate-0.25.0.tar.gz", hash = "sha256:ecf55b0ab278a1dac8539dde0d276977aff04683f07ede73eaf02478538576a1"}, + {file = "accelerate-0.28.0-py3-none-any.whl", hash = "sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421"}, + {file = "accelerate-0.28.0.tar.gz", hash = "sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5"}, ] [package.dependencies] @@ -21,14 +21,14 @@ safetensors = ">=0.3.1" torch = ">=1.10.0" [package.extras] -dev = ["bitsandbytes", "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", "timm", "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)"] +dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed (<0.13.0)", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"] rich = ["rich"] sagemaker = ["sagemaker"] -test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"] -test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"] +test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"] test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"] -testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"] +testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] [[package]] name = "aiofiles" @@ -462,20 +462,6 @@ webencodings = "*" [package.extras] css = ["tinycss2 (>=1.1.0,<1.3)"] -[[package]] -name = "bs4" -version = "0.0.2" -description = "Dummy package for Beautiful Soup (beautifulsoup4)" -optional = false -python-versions = "*" -files = [ - {file = "bs4-0.0.2-py2.py3-none-any.whl", hash = "sha256:abf8742c0805ef7f662dce4b51cca104cffe52b835238afc169142ab9b3fbccc"}, - {file = "bs4-0.0.2.tar.gz", hash = "sha256:a48685c58f50fe127722417bae83fe6badf500d54b55f7e39ffe43b798653925"}, -] - -[package.dependencies] -beautifulsoup4 = "*" - [[package]] name = "build" version = "1.0.3" @@ -1476,20 +1462,21 @@ smmap = ">=3.0.1,<6" [[package]] name = "gitpython" -version = "3.1.42" +version = "3.1.43" description = "GitPython is a Python library used to interact with Git repositories" optional = false python-versions = ">=3.7" files = [ - {file = "GitPython-3.1.42-py3-none-any.whl", hash = "sha256:1bf9cd7c9e7255f77778ea54359e54ac22a72a5b51288c457c881057b7bb9ecd"}, - {file = "GitPython-3.1.42.tar.gz", hash = "sha256:2d99869e0fef71a73cbd242528105af1d6c1b108c60dfabd994bf292f76c3ceb"}, + {file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"}, + {file = "GitPython-3.1.43.tar.gz", hash = "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c"}, ] [package.dependencies] gitdb = ">=4.0.1,<5" [package.extras] -test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar"] +doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"] +test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"] [[package]] name = "google-auth" @@ -1811,13 +1798,13 @@ test = ["Cython (>=0.29.24,<0.30.0)"] [[package]] name = "httpx" -version = "0.26.0" +version = "0.27.0" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" files = [ - {file = "httpx-0.26.0-py3-none-any.whl", hash = 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(>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "torchaudio", "torchvision"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "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", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +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)"] @@ -6194,20 +6296,20 @@ 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)"] @@ -6928,4 +7030,4 @@ llama-index-notebooks = ["bitsandbytes", "gradio", "ipykernel", "nbconvert"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "8901fb52f4c13ff3f7b716213aaeac5e774689c16f6f67b45be7cad925830545" +content-hash = "5cb694927d226480d144719058f6e13a74abc79b7735078b254c5a829012c354" diff --git a/pyproject.toml b/pyproject.toml index 4bef41d6..aee68cf9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,39 +17,40 @@ readme = "README.md" [tool.poetry.dependencies] python = ">=3.11,<3.12" -accelerate = "^0.25.0" +accelerate = "^0.28.0" bitsandbytes = { version="^0.41.1", optional=true } datasets = { version="^2.16.1", optional=true } faiss-cpu = { version="^1.7.4", optional=true } fastapi = { version="^0.103.1", optional=true } -gitpython = "^3.1.41" +gitpython = "^3.1.43" gradio = { version = "^4.12.0", optional=true } -httpx = "^0.26.0" +httpx = "^0.27.0" ipykernel = { version="^6.23.2", optional=true } -langchain = "^0.0.354" -llama-cpp-python = "^0.2.27" -llama-index = "^0.10.0" +langchain = "^0.1.14" +llama-cpp-python = "^0.2.58" +llama-index = "^0.10.26" nbconvert = { version = "^7.8.0", optional = true } -nest_asyncio = "^1.5.8" -openai = "^1.6.1" -pandas = "^2.0.2" +nest_asyncio = "^1.6.0" +openai = "^1.16.0" +pandas = "^2.2.1" pulumi = { version = "^3.100.0", optional=true } pulumi-azure-native = { version = "^2.24.0", optional=true } pydantic = { version = "^2.4.1", optional=true } requests = { version = "^2.31.0", optional=true } -safetensors = "^0.3.3" +safetensors = "^0.4.2" slack-sdk = "^3.26.1" -sentence-transformers = "^2.2.2" -torch = "^2.1.2" -transformers = "^4.36.2" +sentence-transformers = "^2.6.1" +torch = "^2.2.2" +transformers = "^4.39.2" uvicorn = { version="^0.23.2", optional=true } -llama-index-readers-github = "0.1.7" -llama-index-llms-azure-openai = "^0.1.4" -llama-index-llms-openai = "^0.1.6" -llama-index-llms-huggingface = "^0.1.3" +llama-index-readers-github = "^0.1.7" +llama-index-llms-azure-openai = "^0.1.5" +llama-index-llms-openai = "^0.1.14" +llama-index-llms-huggingface = "^0.1.4" llama-index-llms-llama-cpp = "^0.1.3" -llama-index-readers-file = "^0.1.6" +llama-index-readers-file = "^0.1.13" llama-index-embeddings-langchain = "^0.1.2" +langchain-community = "^0.0.31" [tool.poetry.group.dev.dependencies] black = "^23.3.0" From c1c8b0ce17a6fc6045e03138793309ce577a4b4b Mon Sep 17 00:00:00 2001 From: rchan Date: Tue, 2 Apr 2024 16:42:17 +0200 Subject: [PATCH 13/22] add tokenizer to be passed in and set this to llama-cpp and huggingface models --- reginald/models/models/llama_index.py | 80 ++++++++++++++++++++++----- 1 file changed, 67 insertions(+), 13 deletions(-) diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py index 7c8a3ef5..00909717 100644 --- a/reginald/models/models/llama_index.py +++ b/reginald/models/models/llama_index.py @@ -12,7 +12,7 @@ import nest_asyncio import pandas as pd from git import Repo -from langchain.embeddings import HuggingFaceEmbeddings +from langchain_community.embeddings import HuggingFaceEmbeddings from llama_index.core import ( Document, PromptHelper, @@ -22,10 +22,11 @@ StorageContext, VectorStoreIndex, load_index_from_storage, + set_global_tokenizer, ) from llama_index.core.base.llms.base import BaseLLM from llama_index.core.base.response.schema import RESPONSE_TYPE -from llama_index.legacy.llms.llama_utils import completion_to_prompt, messages_to_prompt +from llama_index.core.settings import _Settings from llama_index.llms.azure_openai import AzureOpenAI from llama_index.llms.huggingface import HuggingFaceLLM from llama_index.llms.llama_cpp import LlamaCPP @@ -36,8 +37,10 @@ GitHubRepositoryIssuesReader, GithubRepositoryReader, ) +from transformers import AutoTokenizer from reginald.models.models.base import MessageResponse, ResponseModel +from reginald.models.models.llama_utils import completion_to_prompt, messages_to_prompt from reginald.utils import get_env_var nest_asyncio.apply() @@ -72,7 +75,8 @@ def setup_settings( chunk_overlap_ratio: float | str, chunk_size: int | str | None = None, k: int | str | None = None, -) -> Settings: + tokenizer: callable[str] | None = None, +) -> _Settings: """ Helper function to set up the settings. Can pass in either chunk_size or k. @@ -96,11 +100,14 @@ def setup_settings( k : int | str | None, optional `similarity_top_k` to use in chat or query engine, by default None + tokenizer : callable[str] | None, optional + Tokenizer to use. A callable function on a string. + Can also be None if using the default set by LlamaIndex. Returns ------- Settings - Settings to use to create the index vectors. + _Settings object to use to create the index vectors. """ if chunk_size is None and k is None: raise ValueError("Either chunk_size or k must be provided.") @@ -134,13 +141,21 @@ def setup_settings( num_output=num_output, chunk_size_limit=chunk_size, chunk_overlap_ratio=chunk_overlap_ratio, + tokenizer=tokenizer, ) - # construct the settings + # construct the settings (and logging the settings set) Settings.llm = llm + logging.info(f"Settings llm: {llm}") Settings.embed_model = embed_model + logging.info(f"Settings embed_model: {embed_model}") Settings.prompt_helper = prompt_helper + logging.info(f"Settings prompt_helper: {prompt_helper}") Settings.chunk_size = chunk_size + logging.info(f"Settings chunk_size: {chunk_size}") + Settings.tokenizer = tokenizer + logging.info(f"Settings tokenizer: {tokenizer}") + return Settings @@ -149,7 +164,7 @@ def __init__( self, data_dir: pathlib.Path | str, which_index: str, - settings: Settings, + settings: _Settings, ) -> None: """ Class for creating the data index. @@ -161,12 +176,12 @@ def __init__( which_index : str Which index to construct (if force_new_index is True) or use. Options are "handbook", "wikis", "public", or "all_data". - settings : Settings - Settings to use to create the index. + settings : _Settings + llama_index.core.settings._Settings object to use to create the index. """ self.data_dir: pathlib.Path = pathlib.Path(data_dir) self.which_index: str = which_index - self.settings: Settings = settings + self.settings: _Settings = settings self.documents: list[str] = [] self.index: VectorStoreIndex | None = None @@ -569,6 +584,8 @@ def __init__( num_output=self.num_output, chunk_size=self.chunk_size, chunk_overlap_ratio=self.chunk_overlap_ratio, + k=self.k, + tokenizer=self._prep_tokenizer(), ) if force_new_index: @@ -716,6 +733,24 @@ def _prep_llm(self) -> BaseLLM: "_prep_llm needs to be implemented by a subclass of LlamaIndex." ) + def _prep_tokenizer(self) -> callable[str] | None: + """ + Method to prepare the Tokenizer to be used. + + Returns + ------- + callable[str] | None + Tokenizer to use. A callable function on a string. + Can also be None if using the default set by LlamaIndex. + + Raises + ------ + NotImplemented + """ + raise NotImplementedError( + "_prep_tokenizer needs to be implemented by a subclass of LlamaIndex." + ) + def _respond(self, message: str, user_id: str) -> MessageResponse: """ Method to respond to a message in Slack. @@ -825,11 +860,20 @@ def _prep_llm(self) -> LlamaCPP: verbose=True, ) + def _prep_tokenizer(self) -> callable[str]: + # NOTE: this should depend on the model used, but hard coding Llama2-7b for now + logging.info("Setting up Llama2-7b-chat tokenizer") + tokenizer = AutoTokenizer.from_pretrained( + "meta-llama/Llama-2-7b-chat-hf" + ).encode + set_global_tokenizer(tokenizer) + return tokenizer + class LlamaIndexHF(LlamaIndex): def __init__( self, - model_name: str = "microsoft/phi-1_5", + model_name: str = "google/gemma-2b-it", device: str = "auto", *args: Any, **kwargs: Any, @@ -842,7 +886,7 @@ def __init__( ---------- model_name : str, optional Model name from Huggingface's model hub, - by default "microsoft/phi-1_5". + by default "google/gemma-2b-it". device : str, optional Device map to use for the LLM, by default "auto". """ @@ -860,14 +904,18 @@ def _prep_llm(self) -> HuggingFaceLLM: return HuggingFaceLLM( context_window=self.max_input_size, max_new_tokens=self.num_output, - # TODO: allow user to specify the query wrapper prompt for their model - query_wrapper_prompt=PromptTemplate("<|USER|>{query_str}<|ASSISTANT|>"), generate_kwargs={"temperature": 0.1, "do_sample": False}, tokenizer_name=self.model_name, model_name=self.model_name, device_map=self.device or "auto", ) + def _prep_tokenizer(self) -> callable[str]: + logging.info(f"Setting up Huggingface tokenizer for model {self.model_name}") + tokenizer = AutoTokenizer.from_pretrained(self.model_name).encode + set_global_tokenizer(tokenizer) + return tokenizer + class LlamaIndexGPTOpenAI(LlamaIndex): def __init__( @@ -902,6 +950,9 @@ def _prep_llm(self) -> OpenAI: api_key=self.openai_api_key, ) + def _prep_tokenizer(self) -> None: + return None + class LlamaIndexGPTAzure(LlamaIndex): def __init__( @@ -953,3 +1004,6 @@ def _prep_llm(self) -> AzureOpenAI: azure_endpoint=self.openai_api_base, api_version=self.openai_api_version, ) + + def _prep_tokenizer(self) -> None: + return None From 56bd4cd1e3968679b964721e62a7323125c21640 Mon Sep 17 00:00:00 2001 From: rchan Date: Tue, 2 Apr 2024 16:42:57 +0200 Subject: [PATCH 14/22] add messages_ and completion_ to_prompt functions --- reginald/models/models/llama_utils.py | 64 +++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) create mode 100644 reginald/models/models/llama_utils.py diff --git a/reginald/models/models/llama_utils.py b/reginald/models/models/llama_utils.py new file mode 100644 index 00000000..a825bf0a --- /dev/null +++ b/reginald/models/models/llama_utils.py @@ -0,0 +1,64 @@ +from typing import List, Optional, Sequence + +from llama_index.core.llms import ChatMessage, MessageRole + +BOS, EOS = "", "" +B_INST, E_INST = "[INST]", "[/INST]" +B_SYS, E_SYS = "<>\n", "\n<>\n\n" # use for Llama2 +# B_SYS, E_SYS = "", "\n\n" # use for Mistral +DEFAULT_SYSTEM_PROMPT = """\ +You are a helpful, respectful and honest assistant. \ +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. \ +""" + + +def messages_to_prompt( + messages: Sequence[ChatMessage], system_prompt: Optional[str] = None +) -> str: + string_messages: List[str] = [] + if messages[0].role == MessageRole.SYSTEM: + # pull out the system message (if it exists in messages) + system_message_str = messages[0].content or "" + messages = messages[1:] + else: + system_message_str = system_prompt or DEFAULT_SYSTEM_PROMPT + + system_message_str = f"{B_SYS} {system_message_str.strip()} {E_SYS}" + + for i in range(0, len(messages), 2): + # first message should always be a user + user_message = messages[i] + assert user_message.role == MessageRole.USER + + if i == 0: + # make sure system prompt is included at the start + str_message = f"{BOS} {B_INST} {system_message_str} " + else: + # end previous user-assistant interaction + string_messages[-1] += f" {EOS}" + # no need to include system prompt + str_message = f"{BOS} {B_INST} " + + # include user message content + str_message += f"{user_message.content} {E_INST}" + + if len(messages) > (i + 1): + # if assistant message exists, add to str_message + assistant_message = messages[i + 1] + assert assistant_message.role == MessageRole.ASSISTANT + str_message += f" {assistant_message.content}" + + string_messages.append(str_message) + + return "".join(string_messages) + + +def completion_to_prompt(completion: str, system_prompt: Optional[str] = None) -> str: + system_prompt_str = system_prompt or DEFAULT_SYSTEM_PROMPT + + return ( + f"{BOS} {B_INST} {B_SYS} {system_prompt_str.strip()} {E_SYS} " + f"{completion.strip()} {E_INST}" + ) From c78abecb3ce042c9c4bf132cf2c9f5e438e02cbb Mon Sep 17 00:00:00 2001 From: rchan Date: Tue, 2 Apr 2024 16:58:03 +0200 Subject: [PATCH 15/22] prep tokenizers for openai and azure models --- reginald/models/models/llama_index.py | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py index 00909717..2d649cb9 100644 --- a/reginald/models/models/llama_index.py +++ b/reginald/models/models/llama_index.py @@ -951,7 +951,12 @@ def _prep_llm(self) -> OpenAI: ) def _prep_tokenizer(self) -> None: - return None + import tiktoken + + logging.info(f"Setting up tiktoken tokenizer for model {self.model_name}") + tokenizer = tiktoken.encoding_for_model(self.model_name).encode + set_global_tokenizer(tokenizer) + return tokenizer class LlamaIndexGPTAzure(LlamaIndex): @@ -1006,4 +1011,9 @@ def _prep_llm(self) -> AzureOpenAI: ) def _prep_tokenizer(self) -> None: - return None + import tiktoken + + logging.info(f"Setting up tiktoken tokenizer for model {self.model_name}") + tokenizer = tiktoken.encoding_for_model("gpt-4").encode + set_global_tokenizer(tokenizer) + return tokenizer From 0707d2876ea57dad10e067740b04b159a46fa788 Mon Sep 17 00:00:00 2001 From: rchan Date: Tue, 2 Apr 2024 17:03:39 +0200 Subject: [PATCH 16/22] add tiktoken dependency for gpt tokenizers --- poetry.lock | 2 +- pyproject.toml | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index cb7385de..ca2c179e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -7030,4 +7030,4 @@ llama-index-notebooks = ["bitsandbytes", "gradio", "ipykernel", "nbconvert"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "5cb694927d226480d144719058f6e13a74abc79b7735078b254c5a829012c354" +content-hash = "dc66a9e27ff4998f0e63c4166d0f8344075458113a7bb1f545eb6cd2a3586037" diff --git a/pyproject.toml b/pyproject.toml index aee68cf9..3448cf35 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,6 +51,7 @@ llama-index-llms-llama-cpp = "^0.1.3" llama-index-readers-file = "^0.1.13" llama-index-embeddings-langchain = "^0.1.2" langchain-community = "^0.0.31" +tiktoken = "^0.6.0" [tool.poetry.group.dev.dependencies] black = "^23.3.0" From b3692050bd1aeb1c0eddd729150c89ff92e1d376 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 4 Apr 2024 08:03:29 +0000 Subject: [PATCH 17/22] Bump pillow from 10.2.0 to 10.3.0 Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.2.0 to 10.3.0. - [Release notes](https://github.com/python-pillow/Pillow/releases) - [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst) - [Commits](https://github.com/python-pillow/Pillow/compare/10.2.0...10.3.0) --- updated-dependencies: - dependency-name: pillow dependency-type: indirect ... Signed-off-by: dependabot[bot] --- poetry.lock | 143 +++++++++++++++++++++++++++------------------------- 1 file changed, 73 insertions(+), 70 deletions(-) diff --git a/poetry.lock b/poetry.lock index ca2c179e..e3543bc2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 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 = "accelerate" @@ -3646,6 +3646,7 @@ optional = false python-versions = ">=3" files = [ {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"}, + {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux2014_aarch64.whl", hash = "sha256:211a63e7b30a9d62f1a853e19928fbb1a750e3f17a13a3d1f98ff0ced19478dd"}, {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-win_amd64.whl", hash = "sha256:1b2e317e437433753530792f13eece58f0aec21a2b05903be7bffe58a606cbd1"}, ] @@ -4129,79 +4130,80 @@ ptyprocess = ">=0.5" [[package]] name = "pillow" -version = "10.2.0" +version = "10.3.0" description = "Python Imaging Library (Fork)" optional = false python-versions = ">=3.8" files = [ - {file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"}, - {file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = 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"nbconvert"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "dc66a9e27ff4998f0e63c4166d0f8344075458113a7bb1f545eb6cd2a3586037" +content-hash = "f78744285bbbab25c9333228d7fc038ab129770496c31fc8c2c473aab138c6de" diff --git a/pyproject.toml b/pyproject.toml index 3448cf35..e1530e58 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "reginald" -version = "0.1.0" +version="0.1.0" description = "A Slack bot for REG Hack Week 2023" authors = ["Evelina Gabasova ", "James Robinson ", @@ -21,22 +21,22 @@ accelerate = "^0.28.0" bitsandbytes = { version="^0.41.1", optional=true } datasets = { version="^2.16.1", optional=true } faiss-cpu = { version="^1.7.4", optional=true } -fastapi = { version="^0.103.1", optional=true } +fastapi = { version="^0.110.1", optional=true } gitpython = "^3.1.43" -gradio = { version = "^4.12.0", optional=true } +gradio = { version="^4.25.0", optional=true } httpx = "^0.27.0" ipykernel = { version="^6.23.2", optional=true } langchain = "^0.1.14" llama-cpp-python = "^0.2.58" llama-index = "^0.10.26" -nbconvert = { version = "^7.8.0", optional = true } +nbconvert = { version="^7.8.0", optional=true } nest_asyncio = "^1.6.0" openai = "^1.16.0" pandas = "^2.2.1" -pulumi = { version = "^3.100.0", optional=true } -pulumi-azure-native = { version = "^2.24.0", optional=true } -pydantic = { version = "^2.4.1", optional=true } -requests = { version = "^2.31.0", optional=true } +pulumi = { version="^3.100.0", optional=true } +pulumi-azure-native = { version="^2.24.0", optional=true } +pydantic = { version="^2.4.1", optional=true } +requests = { version="^2.31.0", optional=true } safetensors = "^0.4.2" slack-sdk = "^3.26.1" sentence-transformers = "^2.6.1" @@ -54,7 +54,7 @@ langchain-community = "^0.0.31" tiktoken = "^0.6.0" [tool.poetry.group.dev.dependencies] -black = "^23.3.0" +black = "^24.3.0" isort = "^5.12.0" pre-commit = "^3.3.2" From 67d0b012383032d3b0798ad3043380d3f50d0929 Mon Sep 17 00:00:00 2001 From: rchan Date: Thu, 4 Apr 2024 10:26:14 +0200 Subject: [PATCH 19/22] revert format for version in pyproject.toml --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e1530e58..989e9892 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "reginald" -version="0.1.0" +version= " 0.1.0" description = "A Slack bot for REG Hack Week 2023" authors = ["Evelina Gabasova ", "James Robinson ", From de9e6bfb708b4747dcf13d75c880f8767d3e32b4 Mon Sep 17 00:00:00 2001 From: Rosie Wood Date: Thu, 4 Apr 2024 14:40:56 +0100 Subject: [PATCH 20/22] set index to all_data --- azure/production/__main__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/azure/production/__main__.py b/azure/production/__main__.py index 8ae58b0d..8e5c56aa 100644 --- a/azure/production/__main__.py +++ b/azure/production/__main__.py @@ -150,7 +150,7 @@ ), containerinstance.EnvironmentVariableArgs( name="LLAMA_INDEX_WHICH_INDEX", - value="handbook", + value="all_data", ), containerinstance.EnvironmentVariableArgs( name="LLAMA_INDEX_MAX_INPUT_SIZE", From 7af814556d21c53acf3515aec165ee97d5fa3c7b Mon Sep 17 00:00:00 2001 From: rchan Date: Fri, 5 Apr 2024 09:39:23 +0200 Subject: [PATCH 21/22] generate new poetry lock --- poetry.lock | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/poetry.lock b/poetry.lock index 7e92e936..b58c9a11 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1187,19 +1187,19 @@ files = [ [[package]] name = "fastapi" -version = "0.103.2" +version = "0.110.1" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" -optional = true -python-versions = ">=3.7" +optional = false +python-versions = ">=3.8" files = [ - {file = "fastapi-0.103.2-py3-none-any.whl", hash = "sha256:3270de872f0fe9ec809d4bd3d4d890c6d5cc7b9611d721d6438f9dacc8c4ef2e"}, - {file = "fastapi-0.103.2.tar.gz", hash = "sha256:75a11f6bfb8fc4d2bec0bd710c2d5f2829659c0e8c0afd5560fdda6ce25ec653"}, + {file = "fastapi-0.110.1-py3-none-any.whl", hash = "sha256:5df913203c482f820d31f48e635e022f8cbfe7350e4830ef05a3163925b1addc"}, + {file = "fastapi-0.110.1.tar.gz", hash = "sha256:6feac43ec359dfe4f45b2c18ec8c94edb8dc2dfc461d417d9e626590c071baad"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.27.0,<0.28.0" -typing-extensions = ">=4.5.0" +starlette = ">=0.37.2,<0.38.0" +typing-extensions = ">=4.8.0" [package.extras] all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] @@ -5847,13 +5847,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] [[package]] name = "starlette" -version = "0.27.0" +version = "0.37.2" description = "The little ASGI library that shines." -optional = true -python-versions = ">=3.7" +optional = false +python-versions = ">=3.8" files = [ - {file = "starlette-0.27.0-py3-none-any.whl", hash = "sha256:918416370e846586541235ccd38a474c08b80443ed31c578a418e2209b3eef91"}, - {file = "starlette-0.27.0.tar.gz", hash = "sha256:6a6b0d042acb8d469a01eba54e9cda6cbd24ac602c4cd016723117d6a7e73b75"}, + {file = "starlette-0.37.2-py3-none-any.whl", hash = "sha256:6fe59f29268538e5d0d182f2791a479a0c64638e6935d1c6989e63fb2699c6ee"}, + {file = "starlette-0.37.2.tar.gz", hash = "sha256:9af890290133b79fc3db55474ade20f6220a364a0402e0b556e7cd5e1e093823"}, ] [package.dependencies] @@ -7031,4 +7031,4 @@ llama-index-notebooks = ["bitsandbytes", "gradio", "ipykernel", "nbconvert"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "5789c283da2f80d3802af9df98d9f02c6dfe6cde85ae39a785134eaef9f2dabf" +content-hash = "f78744285bbbab25c9333228d7fc038ab129770496c31fc8c2c473aab138c6de" From bcddedb465cc420412229ab4dbd90f6959e4f0e4 Mon Sep 17 00:00:00 2001 From: rchan Date: Fri, 5 Apr 2024 09:41:32 +0200 Subject: [PATCH 22/22] generate new poetry lock --- poetry.lock | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/poetry.lock b/poetry.lock index 546bb062..b58c9a11 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "accelerate" @@ -3645,7 +3645,6 @@ optional = false python-versions = ">=3" files = [ {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"}, - {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux2014_aarch64.whl", hash = "sha256:211a63e7b30a9d62f1a853e19928fbb1a750e3f17a13a3d1f98ff0ced19478dd"}, {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-win_amd64.whl", hash = "sha256:1b2e317e437433753530792f13eece58f0aec21a2b05903be7bffe58a606cbd1"}, ] @@ -4931,7 +4930,6 @@ 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"},