mirror of
https://github.com/deepset-ai/haystack.git
synced 2026-01-08 21:28:00 +00:00
4822536886
* add image.py converter * add PDFtoImageConverter * add init to PDFtoImageConverter and classes to __init__ * update imagetotext pipeline * update imagetotext pipeline * update imagetotext pipeline * update imagetotext pipeline * update imagetotext pipeline * update imagetotext pipeline * update imagetotext pipeline * revert change in base.py in file_conv * Update base.py * Update pdf.py * add ocr file_converter testcase & update dockerfile * fix tesseract exception message typo * fix _image_to_text doctstring * add tesseract installation to CI * add tesseract installation to CI * add content test for PDF OCR converter * update PDFToTextOCRConverter constructor doctsring * replace image files with tmp paths for image.py convert * replace image files with tmp paths for image.py convert * Update README.md Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
40 lines
1.1 KiB
Docker
40 lines
1.1 KiB
Docker
FROM python:3.7.4-stretch
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WORKDIR /home/user
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RUN apt-get update && apt-get install -y curl git pkg-config cmake
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# Install PDF converter
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RUN wget --no-check-certificate https://dl.xpdfreader.com/xpdf-tools-linux-4.03.tar.gz && \
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tar -xvf xpdf-tools-linux-4.03.tar.gz && cp xpdf-tools-linux-4.03/bin64/pdftotext /usr/local/bin
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RUN apt-get install libpoppler-cpp-dev pkg-config -y --fix-missing
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# Install Tesseract
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RUN apt-get install tesseract-ocr libtesseract-dev poppler-utils
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# copy code
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COPY haystack /home/user/haystack
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# install as a package
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COPY setup.py requirements.txt README.md /home/user/
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RUN pip install -r requirements.txt
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RUN pip install -e .
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# copy saved models
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COPY README.md models* /home/user/models/
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# Copy REST API code
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COPY rest_api /home/user/rest_api
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# optional : copy sqlite db if needed for testing
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#COPY qa.db /home/user/
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# optional: copy data directory containing docs for ingestion
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#COPY data /home/user/data
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EXPOSE 8000
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# cmd for running the API
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CMD ["gunicorn", "rest_api.application:app", "-b", "0.0.0.0", "-k", "uvicorn.workers.UvicornWorker", "--workers", "1", "--timeout", "180"]
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