diff --git a/examples/pdf_document_extraction/requirements.txt b/examples/pdf_document_extraction/requirements.txt index 5d7e33160..8ba5cffc5 100644 --- a/examples/pdf_document_extraction/requirements.txt +++ b/examples/pdf_document_extraction/requirements.txt @@ -2,5 +2,7 @@ httpx pydantic --extra-index-url https://miropsota.github.io/torch_packages_builder detectron2 -deepdoctection[pt] -langchain_text_splitters \ No newline at end of file +langchain_text_splitters +py-inkwell +lancedb +pyarrow \ No newline at end of file diff --git a/examples/pdf_document_extraction/workflow.py b/examples/pdf_document_extraction/workflow.py index f8fe60e6d..396ae4025 100644 --- a/examples/pdf_document_extraction/workflow.py +++ b/examples/pdf_document_extraction/workflow.py @@ -4,7 +4,6 @@ import httpx from pydantic import BaseModel -from indexify.extractors.pdf_parser import Page, PageFragmentType, PDFParser from indexify.functions_sdk.data_objects import File, IndexifyData from indexify.functions_sdk.graph import Graph from indexify.functions_sdk.indexify_functions import ( @@ -25,17 +24,27 @@ def download_pdf(url: str) -> File: class Document(BaseModel): + from inkwell import Page pages: List[Page] -@indexify_function() -def parse_pdf(file: File) -> Document: - """ - Parse pdf file and returns pages: - """ - parser = PDFParser(file.data) - pages: List[Page] = parser.parse() - return Document(pages=pages) +class PDFParse(IndexifyFunction): + name = "pdf-parse" + description = "Parser class that captures a pdf file" + + def __init__(self): + super().__init__() + from inkwell import Pipeline + self._pipeline = Pipeline() + + def run(self, input: File) -> Document: + from inkwell import Page + import tempfile + with tempfile.TemporaryFile() as f: + f.write(input.data) + pages: List[Page] = self._pipeline.process(f.name) + return Document(pages=pages) + class TextChunk(IndexifyData): @@ -50,6 +59,7 @@ def extract_chunks(document: Document) -> List[TextChunk]: """ Extract chunks from document """ + from inkwell import PageFragmentType from langchain_text_splitters import RecursiveCharacterTextSplitter text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000) @@ -103,6 +113,7 @@ def __init__(self): def run(self, document: Document) -> List[ImageWithEmbedding]: from PIL import Image + from inkwell import PageFragmentType from sentence_transformers import SentenceTransformer if self.model is None: @@ -125,8 +136,6 @@ def run(self, document: Document) -> List[ImageWithEmbedding]: from lancedb.pydantic import LanceModel, Vector - - class ImageEmbeddingTable(LanceModel): vector: Vector(512) page_number: int diff --git a/python-sdk/poetry.lock b/python-sdk/poetry.lock index 9dfdd580f..031da69dd 100644 --- a/python-sdk/poetry.lock +++ b/python-sdk/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.0 and should not be changed by hand. 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