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https://github.com/deepset-ai/haystack.git
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eb5f7bb4c0
* Add FormRecognizerConverter * Change signature of convert method + change return type of all converters * Adapt preprocessing util to new return type of converters * Parametrize number of lines used for surrounding context of table * Change name from FormRecognizerConverter to AzureConverter * Set version of azure-ai-formrecognizer package * Change tutorial 8 based on new return type of converters * Add tests * Add latest docstring and tutorial changes * Fix typo Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
66 lines
1.6 KiB
Plaintext
66 lines
1.6 KiB
Plaintext
# basics
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setuptools
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wheel
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# PyTorch
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# Temp. disabled the next line as it gets currently resolved to https://download.pytorch.org/whl/rocm3.8/torch-1.7.1%2Brocm3.8-cp38-cp38-linux_x86_64.whl
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# --find-links=https://download.pytorch.org/whl/torch_stable.html
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torch>1.5,<1.11
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# progress bars in model download and training scripts
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tqdm
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# Used for downloading models over HTTP
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requests
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# Scipy & sklearn for stats in run_classifier
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scipy>=1.3.2
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sklearn
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# Metrics or logging related
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seqeval
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mlflow<=1.13.1
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# huggingface repository
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transformers==4.7.0
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# pickle extension for (de-)serialization
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dill
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# Inference with ONNX models. Install onnxruntime-gpu for Inference on GPUs
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# onnxruntime
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# onnxruntime_tools
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psutil
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# haystack
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fastapi
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uvicorn
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gunicorn
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pandas
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psycopg2-binary; sys_platform != 'win32' and sys_platform != 'cygwin'
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elasticsearch>=7.7,<=7.10
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elastic-apm
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tox
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coverage
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langdetect # for PDF conversions
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# for PDF conversions using OCR
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pytesseract==0.3.7
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pillow==8.3.2
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pdf2image==1.14.0
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sentence-transformers>=0.4.0
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python-multipart
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python-docx
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sqlalchemy>=1.4.2
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sqlalchemy_utils
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# for using FAISS with GPUs, install faiss-gpu
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faiss-cpu>=1.6.3
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tika
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uvloop==0.14; sys_platform != 'win32' and sys_platform != 'cygwin'
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httptools
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nltk
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more_itertools
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networkx
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# Refer milvus version support matrix at https://github.com/milvus-io/pymilvus#install-pymilvus
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# For milvus 2.x version use this library `pymilvus===2.0.0rc6`
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pymilvus
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# Optional: For crawling
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#selenium
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#webdriver-manager
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SPARQLWrapper
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mmh3
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weaviate-client==2.5.0
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ray==1.5.0
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dataclasses-json
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quantulum3
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azure-ai-formrecognizer==3.2.0b2 |