forked from Archives/langchain
Harrison/format agent instructions (#973)
Co-authored-by: Andrew White <white.d.andrew@gmail.com> Co-authored-by: Harrison Chase <harrisonchase@Harrisons-MBP.attlocal.net> Co-authored-by: Peng Qu <82029664+pengqu123@users.noreply.github.com>
This commit is contained in:
Harrison Chase
GitHub
parent
5469d898a9
commit
c64f98e2bb
@ -10,6 +10,133 @@
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"This covers how to load pdfs into a document format that we can use downstream."
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]
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},
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{
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"cell_type": "markdown",
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"id": "743f9413",
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"metadata": {},
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"source": [
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"## Using PyPDF\n",
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"\n",
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"Allows for tracking of page numbers as well."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "c428b0c5",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import PagedPDFSplitter\n",
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"\n",
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"loader = PagedPDFSplitter(\"example_data/layout-parser-paper.pdf\")\n",
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"pages = loader.load_and_split()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ebd895e4",
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"metadata": {},
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"source": [
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"An advantage of this approach is that documents can be retrieved with page numbers."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "87fa7b3a",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"9: 10 Z. Shen et al.\n",
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"Fig. 4: Illustration of (a) the original historical Japanese document with layout\n",
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"detection results and (b) a recreated version of the document image that achieves\n",
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"much better character recognition recall. The reorganization algorithm rearranges\n",
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"the tokens based on the their detected bounding boxes given a maximum allowed\n",
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"height.\n",
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"4LayoutParser Community Platform\n",
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"Another focus of LayoutParser is promoting the reusability of layout detection\n",
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"models and full digitization pipelines. Similar to many existing deep learning\n",
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"libraries, LayoutParser comes with a community model hub for distributing\n",
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"layout models. End-users can upload their self-trained models to the model hub,\n",
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"and these models can be loaded into a similar interface as the currently available\n",
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"LayoutParser pre-trained models. For example, the model trained on the News\n",
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"Navigator dataset [17] has been incorporated in the model hub.\n",
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"Beyond DL models, LayoutParser also promotes the sharing of entire doc-\n",
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"ument digitization pipelines. For example, sometimes the pipeline requires the\n",
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"combination of multiple DL models to achieve better accuracy. Currently, pipelines\n",
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"are mainly described in academic papers and implementations are often not pub-\n",
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"licly available. To this end, the LayoutParser community platform also enables\n",
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"the sharing of layout pipelines to promote the discussion and reuse of techniques.\n",
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"For each shared pipeline, it has a dedicated project page, with links to the source\n",
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"code, documentation, and an outline of the approaches. A discussion panel is\n",
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"provided for exchanging ideas. Combined with the core LayoutParser library,\n",
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"users can easily build reusable components based on the shared pipelines and\n",
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"apply them to solve their unique problems.\n",
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"5 Use Cases\n",
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"The core objective of LayoutParser is to make it easier to create both large-scale\n",
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"and light-weight document digitization pipelines. Large-scale document processing\n",
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"3: 4 Z. Shen et al.\n",
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"Efficient Data AnnotationC u s t o m i z e d M o d e l T r a i n i n gModel Cust omizationDI A Model HubDI A Pipeline SharingCommunity PlatformLa y out Detection ModelsDocument Images \n",
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"T h e C o r e L a y o u t P a r s e r L i b r a r yOCR ModuleSt or age & VisualizationLa y out Data Structur e\n",
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"Fig. 1: The overall architecture of LayoutParser . For an input document image,\n",
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"the core LayoutParser library provides a set of o\u000b",
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"-the-shelf tools for layout\n",
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"detection, OCR, visualization, and storage, backed by a carefully designed layout\n",
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"data structure. LayoutParser also supports high level customization via e\u000ecient\n",
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"layout annotation and model training functions. These improve model accuracy\n",
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"on the target samples. The community platform enables the easy sharing of DIA\n",
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"models and whole digitization pipelines to promote reusability and reproducibility.\n",
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"A collection of detailed documentation, tutorials and exemplar projects make\n",
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"LayoutParser easy to learn and use.\n",
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"AllenNLP [ 8] and transformers [ 34] have provided the community with complete\n",
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"DL-based support for developing and deploying models for general computer\n",
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"vision and natural language processing problems. LayoutParser , on the other\n",
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"hand, specializes speci\f",
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"cally in DIA tasks. LayoutParser is also equipped with a\n",
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"community platform inspired by established model hubs such as Torch Hub [23]\n",
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"andTensorFlow Hub [1]. It enables the sharing of pretrained models as well as\n",
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"full document processing pipelines that are unique to DIA tasks.\n",
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"There have been a variety of document data collections to facilitate the\n",
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"development of DL models. Some examples include PRImA [ 3](magazine layouts),\n",
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"PubLayNet [ 38](academic paper layouts), Table Bank [ 18](tables in academic\n",
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"papers), Newspaper Navigator Dataset [ 16,17](newspaper \f",
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"gure layouts) and\n",
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"HJDataset [31](historical Japanese document layouts). A spectrum of models\n",
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"trained on these datasets are currently available in the LayoutParser model zoo\n",
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"to support di\u000b",
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"erent use cases.\n",
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"3 The Core LayoutParser Library\n",
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"At the core of LayoutParser is an o\u000b",
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"-the-shelf toolkit that streamlines DL-\n",
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"based document image analysis. Five components support a simple interface\n",
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"with comprehensive functionalities: 1) The layout detection models enable using\n",
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"pre-trained or self-trained DL models for layout detection with just four lines\n",
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"of code. 2) The detected layout information is stored in carefully engineered\n"
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]
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}
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],
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"source": [
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"from langchain.vectorstores import FAISS\n",
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"from langchain.embeddings.openai import OpenAIEmbeddings\n",
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"\n",
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"faiss_index = FAISS.from_documents(pages, OpenAIEmbeddings())\n",
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"docs = faiss_index.similarity_search(\"How will the community be engaged?\", k=2)\n",
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"for doc in docs:\n",
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" print(str(doc.metadata[\"page\"]) + \":\", doc.page_content)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "09d64998",
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"metadata": {},
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"source": [
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"## Using Unstructured"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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@ -65,7 +192,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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"version": "3.9.1"
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}
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},
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"nbformat": 4,
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@ -27,6 +27,8 @@ There are a lot of different document loaders that LangChain supports. Below are
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`Roam <./examples/roam.html>`_: A walkthrough of how to load data from a Roam file export.
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`EveryNote <./examples/everynote.html>`_: A walkthrough of how to load data from a EveryNote (`.enex`) file.
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`YouTube <./examples/youtube.html>`_: A walkthrough of how to load the transcript from a YouTube video.
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`s3 File <./examples/s3_file.html>`_: A walkthrough of how to load a file from s3.
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@ -39,6 +39,7 @@ class ConversationalAgent(Agent):
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tools: List[Tool],
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prefix: str = PREFIX,
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suffix: str = SUFFIX,
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format_instructions: str = FORMAT_INSTRUCTIONS,
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ai_prefix: str = "AI",
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human_prefix: str = "Human",
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input_variables: Optional[List[str]] = None,
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@ -61,7 +62,7 @@ class ConversationalAgent(Agent):
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[f"> {tool.name}: {tool.description}" for tool in tools]
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)
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tool_names = ", ".join([tool.name for tool in tools])
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format_instructions = FORMAT_INSTRUCTIONS.format(
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format_instructions = format_instructions.format(
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tool_names=tool_names, ai_prefix=ai_prefix, human_prefix=human_prefix
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)
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template = "\n\n".join([prefix, tool_strings, format_instructions, suffix])
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@ -93,6 +94,7 @@ class ConversationalAgent(Agent):
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callback_manager: Optional[BaseCallbackManager] = None,
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prefix: str = PREFIX,
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suffix: str = SUFFIX,
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format_instructions: str = FORMAT_INSTRUCTIONS,
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ai_prefix: str = "AI",
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human_prefix: str = "Human",
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input_variables: Optional[List[str]] = None,
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@ -106,6 +108,7 @@ class ConversationalAgent(Agent):
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human_prefix=human_prefix,
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prefix=prefix,
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suffix=suffix,
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format_instructions=format_instructions,
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input_variables=input_variables,
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)
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llm_chain = LLMChain(
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@ -72,6 +72,7 @@ class ZeroShotAgent(Agent):
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tools: List[Tool],
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prefix: str = PREFIX,
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suffix: str = SUFFIX,
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format_instructions: str = FORMAT_INSTRUCTIONS,
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input_variables: Optional[List[str]] = None,
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) -> PromptTemplate:
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"""Create prompt in the style of the zero shot agent.
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@ -88,7 +89,7 @@ class ZeroShotAgent(Agent):
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"""
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tool_strings = "\n".join([f"{tool.name}: {tool.description}" for tool in tools])
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tool_names = ", ".join([tool.name for tool in tools])
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format_instructions = FORMAT_INSTRUCTIONS.format(tool_names=tool_names)
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format_instructions = format_instructions.format(tool_names=tool_names)
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template = "\n\n".join([prefix, tool_strings, format_instructions, suffix])
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if input_variables is None:
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input_variables = ["input", "agent_scratchpad"]
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@ -102,13 +103,18 @@ class ZeroShotAgent(Agent):
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callback_manager: Optional[BaseCallbackManager] = None,
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prefix: str = PREFIX,
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suffix: str = SUFFIX,
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format_instructions: str = FORMAT_INSTRUCTIONS,
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input_variables: Optional[List[str]] = None,
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**kwargs: Any,
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) -> Agent:
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"""Construct an agent from an LLM and tools."""
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cls._validate_tools(tools)
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prompt = cls.create_prompt(
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tools, prefix=prefix, suffix=suffix, input_variables=input_variables
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tools,
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prefix=prefix,
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suffix=suffix,
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format_instructions=format_instructions,
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input_variables=input_variables,
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)
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llm_chain = LLMChain(
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llm=llm,
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@ -14,6 +14,7 @@ from langchain.document_loaders.html import UnstructuredHTMLLoader
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from langchain.document_loaders.imsdb import IMSDbLoader
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from langchain.document_loaders.notion import NotionDirectoryLoader
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from langchain.document_loaders.obsidian import ObsidianLoader
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from langchain.document_loaders.paged_pdf import PagedPDFSplitter
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from langchain.document_loaders.pdf import UnstructuredPDFLoader
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from langchain.document_loaders.powerpoint import UnstructuredPowerPointLoader
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from langchain.document_loaders.readthedocs import ReadTheDocsLoader
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@ -47,5 +48,6 @@ __all__ = [
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"AZLyricsLoader",
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"CollegeConfidentialLoader",
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"GutenbergLoader",
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"PagedPDFSplitter",
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"EveryNoteLoader",
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]
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36
langchain/document_loaders/paged_pdf.py
Normal file
36
langchain/document_loaders/paged_pdf.py
Normal file
@ -0,0 +1,36 @@
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"""Loads a PDF with pypdf and chunks at character level."""
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from typing import List
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from langchain.docstore.document import Document
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from langchain.document_loaders.base import BaseLoader
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class PagedPDFSplitter(BaseLoader):
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"""Loads a PDF with pypdf and chunks at character level.
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Loader also stores page numbers in metadatas.
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"""
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def __init__(self, file_path: str):
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"""Initialize with file path."""
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try:
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import pypdf # noqa:F401
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except ImportError:
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raise ValueError(
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"pypdf package not found, please install it with " "`pip install pypdf`"
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)
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self._file_path = file_path
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def load(self) -> List[Document]:
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"""Load given path as pages."""
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import pypdf
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pdf_file_obj = open(self._file_path, "rb")
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pdf_reader = pypdf.PdfReader(pdf_file_obj)
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docs = []
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for i, page in enumerate(pdf_reader.pages):
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text = page.extract_text()
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metadata = {"source": self._file_path, "page": i}
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docs.append(Document(page_content=text, metadata=metadata))
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pdf_file_obj.close()
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return docs
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420
poetry.lock
generated
420
poetry.lock
generated
@ -384,14 +384,14 @@ files = [
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[[package]]
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name = "beautifulsoup4"
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version = "4.11.1"
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version = "4.11.2"
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description = "Screen-scraping library"
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category = "main"
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optional = false
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python-versions = ">=3.6.0"
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files = [
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{file = "beautifulsoup4-4.11.1-py3-none-any.whl", hash = "sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30"},
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{file = "beautifulsoup4-4.11.1.tar.gz", hash = "sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"},
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{file = "beautifulsoup4-4.11.2-py3-none-any.whl", hash = "sha256:0e79446b10b3ecb499c1556f7e228a53e64a2bfcebd455f370d8927cb5b59e39"},
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{file = "beautifulsoup4-4.11.2.tar.gz", hash = "sha256:bc4bdda6717de5a2987436fb8d72f45dc90dd856bdfd512a1314ce90349a0106"},
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]
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[package.dependencies]
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@ -403,32 +403,46 @@ lxml = ["lxml"]
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[[package]]
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name = "black"
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version = "22.12.0"
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version = "23.1.0"
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description = "The uncompromising code formatter."
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category = "dev"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "black-22.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eedd20838bd5d75b80c9f5487dbcb06836a43833a37846cf1d8c1cc01cef59d"},
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{file = "black-22.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:159a46a4947f73387b4d83e87ea006dbb2337eab6c879620a3ba52699b1f4351"},
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{file = "black-22.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:7412e75863aa5c5411886804678b7d083c7c28421210180d67dfd8cf1221e1f4"},
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{file = "black-22.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:1f58cbe16dfe8c12b7434e50ff889fa479072096d79f0a7f25e4ab8e94cd8350"},
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{file = "black-22.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:82d9fe8fee3401e02e79767016b4907820a7dc28d70d137eb397b92ef3cc5bfc"},
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{file = "black-22.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101c69b23df9b44247bd88e1d7e90154336ac4992502d4197bdac35dd7ee3320"},
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{file = "black-22.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:559c7a1ba9a006226f09e4916060982fd27334ae1998e7a38b3f33a37f7a2148"},
|
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{file = "black-22.12.0-py3-none-any.whl", hash = "sha256:436cc9167dd28040ad90d3b404aec22cedf24a6e4d7de221bec2730ec0c97bcf"},
|
||||
{file = "black-22.12.0.tar.gz", hash = "sha256:229351e5a18ca30f447bf724d007f890f97e13af070bb6ad4c0a441cd7596a2f"},
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{file = "black-23.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:9afd3f493666a0cd8f8df9a0200c6359ac53940cbde049dcb1a7eb6ee2dd7074"},
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{file = "black-23.1.0-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:bfffba28dc52a58f04492181392ee380e95262af14ee01d4bc7bb1b1c6ca8d27"},
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{file = "black-23.1.0-cp311-cp311-macosx_10_16_universal2.whl", hash = "sha256:c1c476bc7b7d021321e7d93dc2cbd78ce103b84d5a4cf97ed535fbc0d6660648"},
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{file = "black-23.1.0-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:382998821f58e5c8238d3166c492139573325287820963d2f7de4d518bd76958"},
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|
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|
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mypy-extensions = ">=0.4.3"
|
||||
packaging = ">=22.0"
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pathspec = ">=0.9.0"
|
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platformdirs = ">=2"
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tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""}
|
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tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
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[package.extras]
|
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@ -787,47 +801,49 @@ toml = ["tomli"]
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|
||||
[[package]]
|
||||
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|
||||
version = "39.0.0"
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version = "39.0.1"
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||||
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
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category = "main"
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optional = false
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||||
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|
||||
|
||||
[package.dependencies]
|
||||
cffi = ">=1.12"
|
||||
|
||||
[package.extras]
|
||||
docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1,!=5.2.0,!=5.2.0.post0)", "sphinx-rtd-theme"]
|
||||
docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
|
||||
docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
|
||||
pep8test = ["black", "ruff"]
|
||||
pep8test = ["black", "check-manifest", "mypy", "ruff", "types-pytz", "types-requests"]
|
||||
sdist = ["setuptools-rust (>=0.11.4)"]
|
||||
ssh = ["bcrypt (>=3.1.5)"]
|
||||
test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"]
|
||||
test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-shard (>=0.1.2)", "pytest-subtests", "pytest-xdist", "pytz"]
|
||||
test-randomorder = ["pytest-randomly"]
|
||||
tox = ["tox"]
|
||||
|
||||
[[package]]
|
||||
name = "cymem"
|
||||
@ -1969,22 +1985,23 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "ipykernel"
|
||||
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|
||||
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|
||||
description = "IPython Kernel for Jupyter"
|
||||
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|
||||
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|
||||
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||||
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|
||||
|
||||
[package.dependencies]
|
||||
appnope = {version = "*", markers = "platform_system == \"Darwin\""}
|
||||
comm = ">=0.1.1"
|
||||
debugpy = ">=1.0"
|
||||
debugpy = ">=1.6.5"
|
||||
ipython = ">=7.23.1"
|
||||
jupyter-client = ">=6.1.12"
|
||||
jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
|
||||
matplotlib-inline = ">=0.1"
|
||||
nest-asyncio = "*"
|
||||
packaging = "*"
|
||||
@ -2265,14 +2282,14 @@ testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbforma
|
||||
|
||||
[[package]]
|
||||
name = "jupyter-client"
|
||||
version = "8.0.1"
|
||||
version = "8.0.2"
|
||||
description = "Jupyter protocol implementation and client libraries"
|
||||
category = "dev"
|
||||
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|
||||
python-versions = ">=3.8"
|
||||
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|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
@ -2289,36 +2306,39 @@ test = ["codecov", "coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-co
|
||||
|
||||
[[package]]
|
||||
name = "jupyter-console"
|
||||
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|
||||
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|
||||
description = "Jupyter terminal console"
|
||||
category = "dev"
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python-versions = ">=3.7"
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|
||||
|
||||
[package.dependencies]
|
||||
ipykernel = "*"
|
||||
ipykernel = ">=6.14"
|
||||
ipython = "*"
|
||||
jupyter-client = ">=7.0.0"
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prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
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||||
jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
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||||
prompt-toolkit = ">=3.0.30"
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||||
pygments = "*"
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||||
pyzmq = ">=17"
|
||||
traitlets = ">=5.4"
|
||||
|
||||
[package.extras]
|
||||
test = ["pexpect"]
|
||||
test = ["pexpect", "pytest"]
|
||||
|
||||
[[package]]
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||||
name = "jupyter-core"
|
||||
version = "5.1.5"
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||||
version = "5.2.0"
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||||
description = "Jupyter core package. A base package on which Jupyter projects rely."
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category = "dev"
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python-versions = ">=3.8"
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|
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|
||||
[package.dependencies]
|
||||
@ -2357,18 +2377,18 @@ test = ["click", "coverage", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=
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||||
|
||||
[[package]]
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||||
name = "jupyter-server"
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||||
description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
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[package.dependencies]
|
||||
anyio = ">=3.1.0,<4"
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||||
anyio = ">=3.1.0"
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||||
argon2-cffi = "*"
|
||||
jinja2 = "*"
|
||||
jupyter-client = ">=7.4.4"
|
||||
@ -2845,14 +2865,14 @@ files = [
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||||
|
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[[package]]
|
||||
name = "mistune"
|
||||
version = "2.0.4"
|
||||
version = "2.0.5"
|
||||
description = "A sane Markdown parser with useful plugins and renderers"
|
||||
category = "dev"
|
||||
optional = false
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|
||||
|
||||
[[package]]
|
||||
@ -3042,14 +3062,14 @@ reports = ["lxml"]
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||||
|
||||
[[package]]
|
||||
name = "mypy-extensions"
|
||||
version = "0.4.3"
|
||||
description = "Experimental type system extensions for programs checked with the mypy typechecker."
|
||||
version = "1.0.0"
|
||||
description = "Type system extensions for programs checked with the mypy type checker."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
python-versions = ">=3.5"
|
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|
||||
|
||||
[[package]]
|
||||
@ -3355,40 +3375,40 @@ test = ["pytest", "pytest-console-scripts", "pytest-tornasync"]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
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|
||||
version = "1.24.2"
|
||||
description = "Fundamental package for array computing in Python"
|
||||
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|
||||
|
||||
[[package]]
|
||||
@ -3558,7 +3578,7 @@ testing = ["docopt", "pytest (<6.0.0)"]
|
||||
name = "pathspec"
|
||||
version = "0.11.0"
|
||||
description = "Utility library for gitignore style pattern matching of file paths."
|
||||
category = "dev"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
@ -3746,19 +3766,19 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "platformdirs"
|
||||
version = "2.6.2"
|
||||
version = "3.0.0"
|
||||
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||
category = "dev"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
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||||
{file = "platformdirs-2.6.2-py3-none-any.whl", hash = "sha256:83c8f6d04389165de7c9b6f0c682439697887bca0aa2f1c87ef1826be3584490"},
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||||
{file = "platformdirs-2.6.2.tar.gz", hash = "sha256:e1fea1fe471b9ff8332e229df3cb7de4f53eeea4998d3b6bfff542115e998bd2"},
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||||
{file = "platformdirs-3.0.0-py3-none-any.whl", hash = "sha256:b1d5eb14f221506f50d6604a561f4c5786d9e80355219694a1b244bcd96f4567"},
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||||
{file = "platformdirs-3.0.0.tar.gz", hash = "sha256:8a1228abb1ef82d788f74139988b137e78692984ec7b08eaa6c65f1723af28f9"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
|
||||
test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
|
||||
docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
|
||||
test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
|
||||
|
||||
[[package]]
|
||||
name = "playwright"
|
||||
@ -4205,6 +4225,28 @@ files = [
|
||||
[package.extras]
|
||||
diagrams = ["jinja2", "railroad-diagrams"]
|
||||
|
||||
[[package]]
|
||||
name = "pypdf"
|
||||
version = "3.4.0"
|
||||
description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
|
||||
category = "main"
|
||||
optional = true
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "pypdf-3.4.0-py3-none-any.whl", hash = "sha256:1f40d69a40ed99528cc3c8782bfe719bc26cf31d9a4958c06f17b5ee3d2ae0f4"},
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{file = "pypdf-3.4.0.tar.gz", hash = "sha256:3aac40e539e6a25a31bdc0240229e7ac6670eec9932ebd27e95106c5d83befe8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
typing_extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
|
||||
|
||||
[package.extras]
|
||||
crypto = ["PyCryptodome"]
|
||||
dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "wheel"]
|
||||
docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
|
||||
full = ["Pillow", "PyCryptodome"]
|
||||
image = ["Pillow"]
|
||||
|
||||
[[package]]
|
||||
name = "pyrsistent"
|
||||
version = "0.19.3"
|
||||
@ -4635,14 +4677,14 @@ test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
|
||||
|
||||
[[package]]
|
||||
name = "redis"
|
||||
version = "4.4.2"
|
||||
version = "4.5.1"
|
||||
description = "Python client for Redis database and key-value store"
|
||||
category = "main"
|
||||
optional = true
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "redis-4.4.2-py3-none-any.whl", hash = "sha256:e6206448e2f8a432871d07d432c13ed6c2abcf6b74edb436c99752b1371be387"},
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{file = "redis-4.4.2.tar.gz", hash = "sha256:a010f6cb7378065040a02839c3f75c7e0fb37a87116fb4a95be82a95552776c7"},
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||||
{file = "redis-4.5.1-py3-none-any.whl", hash = "sha256:5deb072d26e67d2be1712603bfb7947ec3431fb0eec9c578994052e33035af6d"},
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||||
{file = "redis-4.5.1.tar.gz", hash = "sha256:1eec3741cda408d3a5f84b78d089c8b8d895f21b3b050988351e925faf202864"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -5043,14 +5085,14 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "67.0.0"
|
||||
version = "67.2.0"
|
||||
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
||||
category = "main"
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "setuptools-67.0.0-py3-none-any.whl", hash = "sha256:9d790961ba6219e9ff7d9557622d2fe136816a264dd01d5997cfc057d804853d"},
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||||
{file = "setuptools-67.0.0.tar.gz", hash = "sha256:883131c5b6efa70b9101c7ef30b2b7b780a4283d5fc1616383cdf22c83cbefe6"},
|
||||
{file = "setuptools-67.2.0-py3-none-any.whl", hash = "sha256:16ccf598aab3b506593c17378473978908a2734d7336755a8769b480906bec1c"},
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{file = "setuptools-67.2.0.tar.gz", hash = "sha256:b440ee5f7e607bb8c9de15259dba2583dd41a38879a7abc1d43a71c59524da48"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -5341,19 +5383,20 @@ themes = ["myst-parser (>=0.12.9,<0.13.0)", "pydata-sphinx-theme (>=0.4.0,<0.5.0
|
||||
|
||||
[[package]]
|
||||
name = "sphinx-rtd-theme"
|
||||
version = "1.1.1"
|
||||
version = "1.2.0"
|
||||
description = "Read the Docs theme for Sphinx"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
|
||||
files = [
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||||
{file = "sphinx_rtd_theme-1.1.1-py2.py3-none-any.whl", hash = "sha256:31faa07d3e97c8955637fc3f1423a5ab2c44b74b8cc558a51498c202ce5cbda7"},
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||||
{file = "sphinx_rtd_theme-1.1.1.tar.gz", hash = "sha256:6146c845f1e1947b3c3dd4432c28998a1693ccc742b4f9ad7c63129f0757c103"},
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||||
{file = "sphinx_rtd_theme-1.2.0-py2.py3-none-any.whl", hash = "sha256:f823f7e71890abe0ac6aaa6013361ea2696fc8d3e1fa798f463e82bdb77eeff2"},
|
||||
{file = "sphinx_rtd_theme-1.2.0.tar.gz", hash = "sha256:a0d8bd1a2ed52e0b338cbe19c4b2eef3c5e7a048769753dac6a9f059c7b641b8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
docutils = "<0.18"
|
||||
sphinx = ">=1.6,<6"
|
||||
docutils = "<0.19"
|
||||
sphinx = ">=1.6,<7"
|
||||
sphinxcontrib-jquery = {version = ">=2.0.0,<3.0.0 || >3.0.0", markers = "python_version > \"3\""}
|
||||
|
||||
[package.extras]
|
||||
dev = ["bump2version", "sphinxcontrib-httpdomain", "transifex-client", "wheel"]
|
||||
@ -5407,20 +5450,35 @@ test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "sphinxcontrib-htmlhelp"
|
||||
version = "2.0.0"
|
||||
version = "2.0.1"
|
||||
description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "sphinxcontrib-htmlhelp-2.0.0.tar.gz", hash = "sha256:f5f8bb2d0d629f398bf47d0d69c07bc13b65f75a81ad9e2f71a63d4b7a2f6db2"},
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||||
{file = "sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl", hash = "sha256:d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07"},
|
||||
{file = "sphinxcontrib-htmlhelp-2.0.1.tar.gz", hash = "sha256:0cbdd302815330058422b98a113195c9249825d681e18f11e8b1f78a2f11efff"},
|
||||
{file = "sphinxcontrib_htmlhelp-2.0.1-py3-none-any.whl", hash = "sha256:c38cb46dccf316c79de6e5515e1770414b797162b23cd3d06e67020e1d2a6903"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
lint = ["docutils-stubs", "flake8", "mypy"]
|
||||
test = ["html5lib", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "sphinxcontrib-jquery"
|
||||
version = "2.0.0"
|
||||
description = "Extension to include jQuery on newer Sphinx releases"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=2.7"
|
||||
files = [
|
||||
{file = "sphinxcontrib-jquery-2.0.0.tar.gz", hash = "sha256:8fb65f6dba84bf7bcd1aea1f02ab3955ac34611d838bcc95d4983b805b234daa"},
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|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
setuptools = "*"
|
||||
|
||||
[[package]]
|
||||
name = "sphinxcontrib-jsmath"
|
||||
version = "1.0.1"
|
||||
@ -5632,14 +5690,14 @@ widechars = ["wcwidth"]
|
||||
|
||||
[[package]]
|
||||
name = "tenacity"
|
||||
version = "8.1.0"
|
||||
version = "8.2.1"
|
||||
description = "Retry code until it succeeds"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "tenacity-8.1.0-py3-none-any.whl", hash = "sha256:35525cd47f82830069f0d6b73f7eb83bc5b73ee2fff0437952cedf98b27653ac"},
|
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{file = "tenacity-8.1.0.tar.gz", hash = "sha256:e48c437fdf9340f5666b92cd7990e96bc5fc955e1298baf4a907e3972067a445"},
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|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -6001,33 +6059,33 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "tiktoken"
|
||||
version = "0.1.2"
|
||||
version = "0.2.0"
|
||||
description = ""
|
||||
category = "main"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
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|
||||
{file = "tiktoken-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab10ad3280f348a0d3bfea6d503c6aa84676b159692701bc7604e67129bd2135"},
|
||||
{file = "tiktoken-0.2.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:59296d495aa6aec375a75f07da44fabb9720632c9404b41b9cbfe95e17966345"},
|
||||
{file = "tiktoken-0.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:3b078e6109d522c5ffc52859520eef6c17a3b120ed52b79f48cae0badff08fe0"},
|
||||
{file = "tiktoken-0.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:aef47e8037652b18d2665b77e1f9416d3a86ccd383b039d0dfcb7d92085cef6d"},
|
||||
{file = "tiktoken-0.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d0f62f8349a5412962326dbc41c3823a1f381d8ab62afbee94480d8296499d8e"},
|
||||
{file = "tiktoken-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d0dbf7e1940427c11f0c8ab9046ad98d774850b21559b37ca60ff30d3a14620"},
|
||||
{file = "tiktoken-0.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8f1a7c6bec42a2fb5309a161d1b891fe5e181d4b620a962923a925f45fe25697"},
|
||||
{file = "tiktoken-0.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:3349fd809d17b722814a6a700e4bc0125527f39057b57a02ed42f53bb4e6e2f5"},
|
||||
{file = "tiktoken-0.2.0.tar.gz", hash = "sha256:df41a3d478499757b5b32eae5e97657cf159d8d9e6764049dd7c3abb49e1b40f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6125,7 +6183,7 @@ files = [
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
description = "A lil' TOML parser"
|
||||
category = "dev"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
@ -6257,14 +6315,14 @@ telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "traitlets"
|
||||
version = "5.8.1"
|
||||
version = "5.9.0"
|
||||
description = "Traitlets Python configuration system"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "traitlets-5.8.1-py3-none-any.whl", hash = "sha256:a1ca5df6414f8b5760f7c5f256e326ee21b581742114545b462b35ffe3f04861"},
|
||||
{file = "traitlets-5.8.1.tar.gz", hash = "sha256:32500888f5ff7bbf3b9267ea31748fa657aaf34d56d85e60f91dda7dc7f5785b"},
|
||||
{file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"},
|
||||
{file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -6273,14 +6331,14 @@ test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.26.0"
|
||||
version = "4.26.1"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
category = "main"
|
||||
optional = true
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "transformers-4.26.0-py3-none-any.whl", hash = "sha256:6a902eee6098d9a737faadf185b8df5a169acc695ebbde5a81b90528f43e665f"},
|
||||
{file = "transformers-4.26.0.tar.gz", hash = "sha256:d7859bd83829a3682ca632197ee5c72556e1063d199ab84eec35c4f23b3d73a3"},
|
||||
{file = "transformers-4.26.1-py3-none-any.whl", hash = "sha256:dae2fa15290c1f526e1b629b0e235eea5e4c04078fcaf1f197a70d51b4f65df2"},
|
||||
{file = "transformers-4.26.1.tar.gz", hash = "sha256:32dc474157367f8e551f470af0136a1ddafc9e18476400c3869f1ef4f0c12042"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6376,26 +6434,26 @@ cryptography = ">=35.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "types-pyyaml"
|
||||
version = "6.0.12.3"
|
||||
version = "6.0.12.5"
|
||||
description = "Typing stubs for PyYAML"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "types-PyYAML-6.0.12.3.tar.gz", hash = "sha256:17ce17b3ead8f06e416a3b1d5b8ddc6cb82a422bb200254dd8b469434b045ffc"},
|
||||
{file = "types_PyYAML-6.0.12.3-py3-none-any.whl", hash = "sha256:879700e9f215afb20ab5f849590418ab500989f83a57e635689e1d50ccc63f0c"},
|
||||
{file = "types-PyYAML-6.0.12.5.tar.gz", hash = "sha256:3b61b7a8111ce368eb366e4a13f3e94e568bc2ed6227e01520a50ee07993bf38"},
|
||||
{file = "types_PyYAML-6.0.12.5-py3-none-any.whl", hash = "sha256:dcaf87b65b839e7b641721346ef8b12a87f94071e15205a64ac93ca0e0afc77a"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "types-redis"
|
||||
version = "4.4.0.4"
|
||||
version = "4.4.0.6"
|
||||
description = "Typing stubs for redis"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "types-redis-4.4.0.4.tar.gz", hash = "sha256:b70829ca3401d3153d628e28d860070eff1b36b2fa3e5af3e583c1d167383cab"},
|
||||
{file = "types_redis-4.4.0.4-py3-none-any.whl", hash = "sha256:802e893ad3f88e03d3a2feb0d23a715d60b0bb330bc598a52f1de237fc2547a5"},
|
||||
{file = "types-redis-4.4.0.6.tar.gz", hash = "sha256:57f8b3706afe47ef36496d70a97a3783560e6cb19e157be12985dbb31de1d853"},
|
||||
{file = "types_redis-4.4.0.6-py3-none-any.whl", hash = "sha256:8b40d6bf3a54352d4cb2aa7d01294c572a39d40a9d289b96bdf490b51d3a42d2"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6404,14 +6462,14 @@ types-pyOpenSSL = "*"
|
||||
|
||||
[[package]]
|
||||
name = "types-requests"
|
||||
version = "2.28.11.8"
|
||||
version = "2.28.11.12"
|
||||
description = "Typing stubs for requests"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "types-requests-2.28.11.8.tar.gz", hash = "sha256:e67424525f84adfbeab7268a159d3c633862dafae15c5b19547ce1b55954f0a3"},
|
||||
{file = "types_requests-2.28.11.8-py3-none-any.whl", hash = "sha256:61960554baca0008ae7e2db2bd3b322ca9a144d3e80ce270f5fb640817e40994"},
|
||||
{file = "types-requests-2.28.11.12.tar.gz", hash = "sha256:fd530aab3fc4f05ee36406af168f0836e6f00f1ee51a0b96b7311f82cb675230"},
|
||||
{file = "types_requests-2.28.11.12-py3-none-any.whl", hash = "sha256:dbc2933635860e553ffc59f5e264264981358baffe6342b925e3eb8261f866ee"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6419,26 +6477,26 @@ types-urllib3 = "<1.27"
|
||||
|
||||
[[package]]
|
||||
name = "types-toml"
|
||||
version = "0.10.8.1"
|
||||
version = "0.10.8.3"
|
||||
description = "Typing stubs for toml"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "types-toml-0.10.8.1.tar.gz", hash = "sha256:171bdb3163d79a520560f24ba916a9fc9bff81659c5448a9fea89240923722be"},
|
||||
{file = "types_toml-0.10.8.1-py3-none-any.whl", hash = "sha256:b7b5c4977f96ab7b5ac06d8a6590d17c0bf252a96efc03b109c2711fb3e0eafd"},
|
||||
{file = "types-toml-0.10.8.3.tar.gz", hash = "sha256:f37244eff4cd7eace9cb70d0bac54d3eba77973aa4ef26c271ac3d1c6503a48e"},
|
||||
{file = "types_toml-0.10.8.3-py3-none-any.whl", hash = "sha256:a2286a053aea6ab6ff814659272b1d4a05d86a1dd52b807a87b23511993b46c5"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "types-urllib3"
|
||||
version = "1.26.25.4"
|
||||
version = "1.26.25.5"
|
||||
description = "Typing stubs for urllib3"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "types-urllib3-1.26.25.4.tar.gz", hash = "sha256:eec5556428eec862b1ac578fb69aab3877995a99ffec9e5a12cf7fbd0cc9daee"},
|
||||
{file = "types_urllib3-1.26.25.4-py3-none-any.whl", hash = "sha256:ed6b9e8a8be488796f72306889a06a3fc3cb1aa99af02ab8afb50144d7317e49"},
|
||||
{file = "types-urllib3-1.26.25.5.tar.gz", hash = "sha256:5630e578246d170d91ebe3901788cd28d53c4e044dc2e2488e3b0d55fb6895d8"},
|
||||
{file = "types_urllib3-1.26.25.5-py3-none-any.whl", hash = "sha256:e8f25c8bb85cde658c72ee931e56e7abd28803c26032441eea9ff4a4df2b0c31"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -6642,14 +6700,14 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "websocket-client"
|
||||
version = "1.5.0"
|
||||
version = "1.5.1"
|
||||
description = "WebSocket client for Python with low level API options"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "websocket-client-1.5.0.tar.gz", hash = "sha256:561ca949e5bbb5d33409a37235db55c279235c78ee407802f1d2314fff8a8536"},
|
||||
{file = "websocket_client-1.5.0-py3-none-any.whl", hash = "sha256:fb5d81b95d350f3a54838ebcb4c68a5353bbd1412ae8f068b1e5280faeb13074"},
|
||||
{file = "websocket-client-1.5.1.tar.gz", hash = "sha256:3f09e6d8230892547132177f575a4e3e73cfdf06526e20cc02aa1c3b47184d40"},
|
||||
{file = "websocket_client-1.5.1-py3-none-any.whl", hash = "sha256:cdf5877568b7e83aa7cf2244ab56a3213de587bbe0ce9d8b9600fc77b455d89e"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -6929,14 +6987,14 @@ multidict = ">=4.0"
|
||||
|
||||
[[package]]
|
||||
name = "zipp"
|
||||
version = "3.12.0"
|
||||
version = "3.13.0"
|
||||
description = "Backport of pathlib-compatible object wrapper for zip files"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "zipp-3.12.0-py3-none-any.whl", hash = "sha256:9eb0a4c5feab9b08871db0d672745b53450d7f26992fd1e4653aa43345e97b86"},
|
||||
{file = "zipp-3.12.0.tar.gz", hash = "sha256:73efd63936398aac78fd92b6f4865190119d6c91b531532e798977ea8dd402eb"},
|
||||
{file = "zipp-3.13.0-py3-none-any.whl", hash = "sha256:e8b2a36ea17df80ffe9e2c4fda3f693c3dad6df1697d3cd3af232db680950b0b"},
|
||||
{file = "zipp-3.13.0.tar.gz", hash = "sha256:23f70e964bc11a34cef175bc90ba2914e1e4545ea1e3e2f67c079671883f9cb6"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -6944,10 +7002,10 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker
|
||||
testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
|
||||
|
||||
[extras]
|
||||
all = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "elasticsearch", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text"]
|
||||
all = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "elasticsearch", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf"]
|
||||
llms = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
content-hash = "b190d518d7a99484ccb0aaf0ed43dfaf9c8cc74481b00da9d4fadd9d02c0dda2"
|
||||
content-hash = "55ff8e2f70840a299ca72a27468cf18ec732514bdc2aa2ed9e8faf9bc5caa71f"
|
||||
|
||||
@ -44,6 +44,8 @@ huggingface_hub = {version = "^0", optional = true}
|
||||
google-search-results = {version = "^2", optional = true}
|
||||
sentence-transformers = {version = "^2", optional = true}
|
||||
aiohttp = "^3.8.3"
|
||||
pypdf = {version = "^3.4.0", optional = true}
|
||||
black = "^23.1.0"
|
||||
|
||||
|
||||
[tool.poetry.group.docs.dependencies]
|
||||
@ -72,7 +74,6 @@ pytest-asyncio = "^0.20.3"
|
||||
|
||||
[tool.poetry.group.lint.dependencies]
|
||||
flake8-docstrings = "^1.6.0"
|
||||
black = "^22.10.0"
|
||||
isort = "^5.10.1"
|
||||
flake8 = "^6.0.0"
|
||||
types-toml = "^0.10.8.1"
|
||||
@ -92,7 +93,7 @@ playwright = "^1.28.0"
|
||||
|
||||
[tool.poetry.extras]
|
||||
llms = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
|
||||
all = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "elasticsearch", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text"]
|
||||
all = ["cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "elasticsearch", "google-search-results", "faiss-cpu", "sentence_transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf"]
|
||||
|
||||
[tool.isort]
|
||||
profile = "black"
|
||||
|
||||
BIN
tests/integration_tests/examples/hello.pdf
Normal file
BIN
tests/integration_tests/examples/hello.pdf
Normal file
Binary file not shown.
19
tests/integration_tests/test_pdf_pagesplitter.py
Normal file
19
tests/integration_tests/test_pdf_pagesplitter.py
Normal file
@ -0,0 +1,19 @@
|
||||
"""Test splitting with page numbers included."""
|
||||
import os
|
||||
|
||||
from langchain.document_loaders import PagedPDFSplitter
|
||||
from langchain.embeddings.openai import OpenAIEmbeddings
|
||||
from langchain.vectorstores import FAISS
|
||||
|
||||
|
||||
def test_pdf_pagesplitter() -> None:
|
||||
"""Test splitting with page numbers included."""
|
||||
script_dir = os.path.dirname(__file__)
|
||||
loader = PagedPDFSplitter(os.path.join(script_dir, "examples/hello.pdf"))
|
||||
docs = loader.load()
|
||||
assert "page" in docs[0].metadata
|
||||
assert "source" in docs[0].metadata
|
||||
|
||||
faiss_index = FAISS.from_documents(docs, OpenAIEmbeddings())
|
||||
docs = faiss_index.similarity_search("Complete this sentence: Hello", k=1)
|
||||
assert "Hello world" in docs[0].page_content
|
||||
Loading…
Reference in New Issue
Block a user