mirror of
https://github.com/khoj-ai/khoj.git
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50658453cd
Conda doesn't support using the same environment across platforms We were able to get away with this till now because of manually setting up the conda environment.yml But it's more robust to just add conda environment YAML files for each platform as necessary
116 lines
3.7 KiB
YAML
116 lines
3.7 KiB
YAML
name: semantic-search
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channels:
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- conda-forge
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dependencies:
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- aiofiles=0.8.0=pyhd8ed1ab_0
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- asgiref=3.4.1=pyhd8ed1ab_0
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- attrs=21.2.0=pyhd8ed1ab_0
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- brotlipy=0.7.0=py39h5161555_1001
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- ca-certificates=2022.6.15=h4653dfc_0
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- certifi=2022.6.15=py39h2804cbe_0
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- cffi=1.14.6=py39hda8b47f_0
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- chardet=4.0.0=py39h2804cbe_1
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- charset-normalizer=2.0.0=pyhd8ed1ab_0
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- click=8.0.1=py39h2804cbe_0
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- colorama=0.4.4=pyh9f0ad1d_0
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- cryptography=3.4.7=py39h73257c9_0
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- dataclasses=0.8=pyhc8e2a94_3
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- dateparser=1.1.1=pyhd8ed1ab_0
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- et_xmlfile=1.0.1=py_1001
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- fastapi=0.68.2=pyhd8ed1ab_0
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- filelock=3.0.12=pyh9f0ad1d_0
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- freetype=2.10.4=h17b34a0_1
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- future=0.18.2=py39h2804cbe_3
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- h11=0.12.0=pyhd8ed1ab_0
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- huggingface_hub=0.2.1=pyhd8ed1ab_0
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- idna=3.1=pyhd3deb0d_0
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- importlib-metadata=4.6.4=py39h2804cbe_0
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- importlib_metadata=4.6.4=hd8ed1ab_0
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- iniconfig=1.1.1=pyh9f0ad1d_0
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- jbig=2.1=h3422bc3_2003
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- jinja2=3.0.3=pyhd8ed1ab_0
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- joblib=1.0.1=pyhd8ed1ab_0
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- jpeg=9d=h27ca646_0
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- lcms2=2.12=had6a04f_0
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- lerc=2.2.1=h9f76cd9_0
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- libblas=3.9.0=11_osxarm64_openblas
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- libcblas=3.9.0=11_osxarm64_openblas
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- libcxx=12.0.1=h168391b_0
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- libdeflate=1.7=h27ca646_5
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- libffi=3.3=h9f76cd9_2
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- libgfortran=5.0.0.dev0=11_0_1_hf114ba7_23
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- libgfortran5=11.0.1.dev0=hf114ba7_23
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- liblapack=3.9.0=11_osxarm64_openblas
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- libopenblas=0.3.17=openmp_h5dd58f0_1
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- libpng=1.6.37=hf7e6567_2
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- libprotobuf=3.16.0=hccf11d3_0
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- libtiff=4.3.0=hc6122e1_1
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- libwebp-base=1.2.1=h3422bc3_0
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- llvm-openmp=12.0.1=hf3c4609_1
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- lz4-c=1.9.3=hbdafb3b_1
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- markupsafe=2.0.1=py39h5161555_1
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- more-itertools=8.8.0=pyhd8ed1ab_0
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- ncurses=6.2=h9aa5885_4
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- ninja=1.10.2=h4d860bb_0
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- nltk=3.6.2=pyhd8ed1ab_0
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- numpy=1.21.4=py39h1f3b974_0
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- olefile=0.46=pyh9f0ad1d_1
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- openai=0.11.4=py39h2804cbe_0
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- openjpeg=2.4.0=h062765e_1
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- openpyxl=3.0.9=pyhd8ed1ab_0
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- openssl=1.1.1q=ha287fd2_0
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- packaging=21.0=pyhd8ed1ab_0
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- pandas=1.3.4=py39h7f752ed_1
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- pandas-stubs=1.2.0.38=py39h2804cbe_0
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- pillow=8.3.2=py39ha74c66e_0
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- pip=21.2.4=pyhd8ed1ab_0
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- pluggy=0.13.1=py39h2804cbe_4
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- py=1.10.0=pyhd3deb0d_0
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- pycparser=2.20=pyh9f0ad1d_2
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- pydantic=1.8.2=py39h5161555_2
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- pyopenssl=20.0.1=pyhd8ed1ab_0
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- pyparsing=2.4.7=pyh9f0ad1d_0
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- pysocks=1.7.1=py39h2804cbe_3
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- pytest=6.2.5=py39h2804cbe_1
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- python=3.9.7=h54d631c_3_cpython
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- python-dateutil=2.8.2=pyhd8ed1ab_0
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- python-tzdata=2022.1=pyhd8ed1ab_0
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- python_abi=3.9=2_cp39
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- pytorch=1.9.0=cpu_py39he8fdc14_2
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- pytorch-cpu=1.9.0=cpu_py39hd610c6a_2
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- pytz=2021.3=pyhd8ed1ab_0
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- pytz-deprecation-shim=0.1.0.post0=py39h2804cbe_2
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- pyyaml=5.4.1=py39h5161555_1
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- readline=8.1=hedafd6a_0
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- regex=2021.8.21=py39h5161555_0
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- requests=2.26.0=pyhd8ed1ab_0
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- sacremoses=0.0.43=pyh9f0ad1d_0
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- scikit-learn=0.24.2=py39hef7049f_1
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- scipy=1.7.0=py39h5060c3b_0
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- sentence-transformers=2.1.0=pyhd8ed1ab_0
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- sentencepiece=0.1.95=py39h4d2d688_1
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- setuptools=57.4.0=py39h2804cbe_0
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- six=1.16.0=pyh6c4a22f_0
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- sleef=3.5.1=h27ca646_1
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- sqlite=3.36.0=h72a2b83_0
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- starlette=0.14.2=pyhd8ed1ab_0
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- threadpoolctl=2.2.0=pyh8a188c0_0
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- tk=8.6.11=he1e0b03_0
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- tokenizers=0.10.3=py39hab32027_1
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- toml=0.10.2=pyhd8ed1ab_0
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- torchvision=0.10.1=py39h0a40b5a_0_cpu
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- tqdm=4.62.1=pyhd8ed1ab_0
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- transformers=4.14.1=pyhd8ed1ab_0
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- typing-extensions=3.10.0.0=hd8ed1ab_0
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- typing_extensions=3.10.0.0=pyha770c72_0
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- tzdata=2021a=he74cb21_1
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- tzlocal=4.2=py39h2804cbe_1
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- urllib3=1.26.6=pyhd8ed1ab_0
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- uvicorn=0.16.0=py39h2804cbe_0
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- wheel=0.37.0=pyhd8ed1ab_1
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- xz=5.2.5=h642e427_1
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- yaml=0.2.5=h642e427_0
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- zipp=3.5.0=pyhd8ed1ab_0
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- zlib=1.2.11=h31e879b_1009
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- zstd=1.5.0=h861e0a7_0
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prefix: /opt/homebrew/Caskroom/miniforge/base/envs/semantic-search
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