Spaces:
Paused
Paused
Commit ·
abe5711
1
Parent(s): 72ecc68
new build
Browse files- .dockerignore +3 -0
- .gitignore +3 -0
- .huggingface.yaml +1 -0
- DEPLOYMENT.md +13 -0
- docker_build.log +99 -0
- requirements.txt +17 -290
.dockerignore
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# This file tells Hugging Face Spaces to use Docker
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# and exposes the correct port for Flask/Gradio/FastAPI
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# No further config needed if Dockerfile is present
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.gitignore
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# This file tells Hugging Face Spaces to use Docker
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# and exposes the correct port for Flask/Gradio/FastAPI
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# No further config needed if Dockerfile is present
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.huggingface.yaml
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runtime: docker
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DEPLOYMENT.md
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# Hugging Face Spaces Docker deployment instructions
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# 1. Make sure your Dockerfile exposes port 7860 and runs your app on 0.0.0.0:7860
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# 2. Your Flask app should listen on host='0.0.0.0' and port=7860
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# 3. requirements.txt should include all dependencies
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# 4. .huggingface.yaml with 'runtime: docker' is present
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# 5. .dockerignore and .gitignore are present
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# To test locally:
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# docker build -t hntai-app .
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# docker run -p 7860:7860 hntai-app
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# Your app will be available at http://localhost:7860
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docker_build.log
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#0 building with "desktop-linux" instance using docker driver
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#1 [internal] load build definition from Dockerfile
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#1 transferring dockerfile: 30B 0.0s
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#1 transferring dockerfile: 955B 0.2s done
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#1 DONE 0.2s
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#2 [internal] load metadata for docker.io/library/python:3.10-slim
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#2 ...
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#3 [auth] library/python:pull token for registry-1.docker.io
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#3 DONE 0.0s
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#2 [internal] load metadata for docker.io/library/python:3.10-slim
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#2 DONE 3.6s
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#4 [internal] load .dockerignore
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#4 transferring context: 205B done
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#4 DONE 0.0s
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#5 [internal] load build context
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#5 ...
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#6 [1/6] FROM docker.io/library/python:3.10-slim@sha256:2ee0fb8794bf82af1b2db168ada5869b4c27d17720dd3b155b56c111fb4a38ae
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#6 resolve docker.io/library/python:3.10-slim@sha256:2ee0fb8794bf82af1b2db168ada5869b4c27d17720dd3b155b56c111fb4a38ae 0.2s done
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#6 DONE 0.2s
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#5 [internal] load build context
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#5 transferring context: 8.73kB 1.0s done
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#5 DONE 1.0s
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#7 [3/6] WORKDIR /app
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#7 CACHED
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#8 [2/6] RUN apt-get update && apt-get install -y build-essential pkg-config libsystemd-dev libcairo2-dev tesseract-ocr libglib2.0-0 libsm6 libxrender1 libxext6 poppler-utils gettext && rm -rf /var/lib/apt/lists/*
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#8 CACHED
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#9 [4/6] COPY requirements.txt .
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#9 CACHED
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#10 [5/6] RUN pip install --upgrade pip && pip install torch==2.6.0 --no-cache-dir && pip install -r requirements.txt --no-cache-dir
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#10 8.828 Requirement already satisfied: pip in /usr/local/lib/python3.10/site-packages (23.0.1)
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#10 9.428 Collecting pip
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#10 9.705 Downloading pip-25.1.1-py3-none-any.whl (1.8 MB)
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#10 10.51 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 MB 2.3 MB/s eta 0:00:00
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#10 10.58 Installing collected packages: pip
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#10 10.58 Attempting uninstall: pip
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#10 10.59 Found existing installation: pip 23.0.1
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#10 10.76 Uninstalling pip-23.0.1:
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#10 11.69 Successfully uninstalled pip-23.0.1
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#10 13.90 Successfully installed pip-25.1.1
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#10 13.90 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
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#10 15.67 Collecting torch==2.6.0
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#10 15.87 Downloading torch-2.6.0-cp310-cp310-manylinux1_x86_64.whl.metadata (28 kB)
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#10 15.99 Collecting filelock (from torch==2.6.0)
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#10 16.15 Downloading filelock-3.18.0-py3-none-any.whl.metadata (2.9 kB)
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#10 16.22 Collecting typing-extensions>=4.10.0 (from torch==2.6.0)
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#10 16.28 Downloading typing_extensions-4.14.0-py3-none-any.whl.metadata (3.0 kB)
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#10 16.36 Collecting networkx (from torch==2.6.0)
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#10 16.40 Downloading networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB)
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#10 16.47 Collecting jinja2 (from torch==2.6.0)
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#10 16.51 Downloading jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
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#10 16.58 Collecting fsspec (from torch==2.6.0)
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#10 16.62 Downloading fsspec-2025.5.1-py3-none-any.whl.metadata (11 kB)
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#10 16.72 Collecting nvidia-cuda-nvrtc-cu12==12.4.127 (from torch==2.6.0)
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#10 16.76 Downloading nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
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#10 16.82 Collecting nvidia-cuda-runtime-cu12==12.4.127 (from torch==2.6.0)
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#10 16.87 Downloading nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
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#10 16.93 Collecting nvidia-cuda-cupti-cu12==12.4.127 (from torch==2.6.0)
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#10 16.96 Downloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
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#10 17.03 Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch==2.6.0)
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#10 17.07 Downloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
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#10 17.13 Collecting nvidia-cublas-cu12==12.4.5.8 (from torch==2.6.0)
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#10 17.17 Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
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#10 17.23 Collecting nvidia-cufft-cu12==11.2.1.3 (from torch==2.6.0)
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#10 17.28 Downloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
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#10 17.34 Collecting nvidia-curand-cu12==10.3.5.147 (from torch==2.6.0)
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#10 17.38 Downloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
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#10 17.43 Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch==2.6.0)
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#10 17.52 Downloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
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#10 17.58 Collecting nvidia-cusparse-cu12==12.3.1.170 (from torch==2.6.0)
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#10 17.62 Downloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
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#10 17.67 Collecting nvidia-cusparselt-cu12==0.6.2 (from torch==2.6.0)
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#10 17.71 Downloading nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl.metadata (6.8 kB)
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#10 17.77 Collecting nvidia-nccl-cu12==2.21.5 (from torch==2.6.0)
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#10 17.80 Downloading nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB)
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#10 17.86 Collecting nvidia-nvtx-cu12==12.4.127 (from torch==2.6.0)
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#10 17.90 Downloading nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.7 kB)
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#10 17.97 Collecting nvidia-nvjitlink-cu12==12.4.127 (from torch==2.6.0)
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#10 18.03 Downloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
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#10 18.14 Collecting triton==3.2.0 (from torch==2.6.0)
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#10 18.18 Downloading triton-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB)
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#10 18.24 Collecting sympy==1.13.1 (from torch==2.6.0)
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#10 18.28 Downloading sympy-1.13.1-py3-none-any.whl.metadata (12 kB)
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#10 18.36 Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch==2.6.0)
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#10 18.40 Downloading mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
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#10 18.54 Collecting MarkupSafe>=2.0 (from jinja2->torch==2.6.0)
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#10 18.57 Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB)
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#10 18.62 Downloading torch-2.6.0-cp310-cp310-manylinux1_x86_64.whl (766.7 MB)
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requirements.txt
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annotated-types==0.7.0
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anyio==4.8.0
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appdirs==1.4.4
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asgiref==3.8.1
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astunparse==1.6.3
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async-timeout==4.0.3
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attrs==25.1.0
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audioread==3.0.1
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autoawq==0.2.8
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backoff==2.2.1
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bcrypt==3.2.0
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billiard==4.2.1
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bitsandbytes==0.45.3
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blinker==1.9.0
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blis==0.7.11
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boilerpy3==1.0.7
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catalogue==2.0.10
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cattrs==24.1.2
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celery==5.4.0
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certifi==2020.6.20
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cffi==1.17.1
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chardet==4.0.0
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charset-normalizer==3.4.1
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click==8.1.8
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click-didyoumean==0.3.1
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click-plugins==1.1.1
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click-repl==0.3.0
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cloudpathlib==0.21.0
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colorama==0.4.4
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coloredlogs==15.0.1
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confection==0.1.5
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construct==2.5.3
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cryptography==44.0.1
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cymem==2.0.11
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Cython==3.0.11
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dataclasses-json==0.6.7
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datasets==3.3.2
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dbus-python==1.2.18
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debugpy==1.8.13
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decorator==5.2.1
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defer==1.0.4
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Deprecated==1.2.18
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dill==0.3.8
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distro==1.7.0
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distro-info==1.0
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docopt==0.6.2
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duplicity==3.0.4.0
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| 54 |
-
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl
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evaluate==0.4.3
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Events==0.5
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exceptiongroup==1.2.2
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faiss-cpu==1.10.0
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fasteners==0.19
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filelock==3.17.0
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Flask==3.1.0
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flask-cors==5.0.1
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Flask-Executor==1.0.0
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Flask-Limiter==3.12
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flatbuffers==25.2.10
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frozenlist==1.5.0
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| 67 |
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fsspec==2024.12.0
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future==0.18.2
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gast==0.6.0
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google-pasta==0.2.0
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greenlet==3.1.1
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grpcio==1.71.0
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h11==0.14.0
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| 74 |
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h5py==3.13.0
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haystack==0.42
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| 76 |
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hf-xet==1.1.1
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| 77 |
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httpcore==1.0.7
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| 78 |
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httplib2==0.20.2
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| 79 |
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httpx==0.28.1
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httpx-sse==0.4.0
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huggingface-hub==0.31.1
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humanfriendly==10.0
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idna==3.3
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importlib-metadata==4.6.4
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inflect==7.5.0
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iniconfig==2.1.0
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itsdangerous==2.2.0
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jeepney==0.7.1
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Jinja2==3.1.5
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joblib==1.4.2
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json5==0.12.0
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jsonpatch==1.33
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jsonpointer==3.0.0
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jsonschema==4.23.0
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jsonschema-specifications==2024.10.1
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keras==3.9.0
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keyring==23.5.0
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kombu==5.4.2
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langchain==0.3.20
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langchain-community==0.3.19
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langchain-core==0.3.43
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langchain-text-splitters==0.3.6
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langcodes==3.5.0
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langsmith==0.3.13
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language_data==1.3.0
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launchpadlib==1.10.16
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lazr.restfulclient==0.14.4
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lazr.uri==1.0.6
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lazy-imports==0.3.1
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lazy_loader==0.4
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libclang==18.1.1
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librosa==0.11.0
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limits==4.4.1
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llvmlite==0.44.0
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lockfile==0.12.2
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| 116 |
-
louis==1.3.0
|
| 117 |
-
lxml==5.3.1
|
| 118 |
-
Mako==1.1.3
|
| 119 |
-
marisa-trie==1.2.1
|
| 120 |
-
Markdown==3.7
|
| 121 |
-
markdown-it-py==3.0.0
|
| 122 |
-
MarkupSafe==3.0.2
|
| 123 |
-
marshmallow==3.26.1
|
| 124 |
-
mdurl==0.1.2
|
| 125 |
-
medspacy==1.3.1
|
| 126 |
-
medspacy-quickumls==3.2
|
| 127 |
-
medspacy_unqlite==0.9.6
|
| 128 |
-
ml_dtypes==0.5.1
|
| 129 |
-
monotonic==1.6
|
| 130 |
-
more-itertools==8.10.0
|
| 131 |
-
mpmath==1.3.0
|
| 132 |
-
msgpack==1.1.0
|
| 133 |
-
multidict==6.1.0
|
| 134 |
-
multiprocess==0.70.16
|
| 135 |
-
murmurhash==1.0.12
|
| 136 |
-
mypy-extensions==1.0.0
|
| 137 |
-
namex==0.0.8
|
| 138 |
-
netifaces==0.11.0
|
| 139 |
-
networkx==3.4.2
|
| 140 |
-
nltk==3.9.1
|
| 141 |
-
num2words==0.5.14
|
| 142 |
-
numba==0.61.0
|
| 143 |
-
numpy==1.26.4
|
| 144 |
-
nvidia-cublas-cu12==12.4.5.8
|
| 145 |
-
nvidia-cuda-cupti-cu12==12.4.127
|
| 146 |
-
nvidia-cuda-nvrtc-cu12==12.4.127
|
| 147 |
-
nvidia-cuda-runtime-cu12==12.4.127
|
| 148 |
-
nvidia-cudnn-cu12==9.1.0.70
|
| 149 |
-
nvidia-cufft-cu12==11.2.1.3
|
| 150 |
-
nvidia-curand-cu12==10.3.5.147
|
| 151 |
-
nvidia-cusolver-cu12==11.6.1.9
|
| 152 |
-
nvidia-cusparse-cu12==12.3.1.170
|
| 153 |
-
nvidia-cusparselt-cu12==0.6.2
|
| 154 |
-
nvidia-nccl-cu12==2.21.5
|
| 155 |
-
nvidia-nvjitlink-cu12==12.4.127
|
| 156 |
-
nvidia-nvtx-cu12==12.4.127
|
| 157 |
-
oauthlib==3.2.0
|
| 158 |
-
olefile==0.46
|
| 159 |
-
onnx==1.17.0
|
| 160 |
-
onnxruntime==1.20.1
|
| 161 |
-
openai-whisper==20240930
|
| 162 |
-
opencv-python==4.11.0.86
|
| 163 |
-
opt_einsum==3.4.0
|
| 164 |
-
optimum==1.24.0
|
| 165 |
-
optree==0.14.1
|
| 166 |
-
ordered-set==4.1.0
|
| 167 |
-
orjson==3.10.15
|
| 168 |
-
packaging==24.2
|
| 169 |
-
pandas==2.2.3
|
| 170 |
-
paramiko==2.9.3
|
| 171 |
-
pdf2image==1.17.0
|
| 172 |
-
pdfminer.six==20231228
|
| 173 |
-
pdfplumber==0.11.5
|
| 174 |
-
pefile==2024.8.26
|
| 175 |
-
pexpect==4.8.0
|
| 176 |
-
pillow==11.1.0
|
| 177 |
-
pinecone==6.0.1
|
| 178 |
-
pinecone-plugin-interface==0.0.7
|
| 179 |
-
platformdirs==4.3.6
|
| 180 |
-
pluggy==1.5.0
|
| 181 |
-
pooch==1.8.2
|
| 182 |
-
posthog==3.19.0
|
| 183 |
-
preshed==3.0.9
|
| 184 |
-
prompt_toolkit==3.0.50
|
| 185 |
-
prompthub-py==4.0.0
|
| 186 |
-
propcache==0.3.0
|
| 187 |
-
protobuf==5.29.3
|
| 188 |
-
psutil==7.0.0
|
| 189 |
-
ptyprocess==0.7.0
|
| 190 |
-
py4j==0.10.9.7
|
| 191 |
-
pyarrow==19.0.1
|
| 192 |
-
pycairo==1.20.1
|
| 193 |
-
pycparser==2.22
|
| 194 |
-
pycups==2.0.1
|
| 195 |
-
pydantic==2.10.6
|
| 196 |
-
pydantic-settings==2.8.1
|
| 197 |
-
pydantic_core==2.27.2
|
| 198 |
-
pydub==0.25.1
|
| 199 |
-
PyFastNER==1.0.10
|
| 200 |
-
Pygments==2.19.1
|
| 201 |
-
PyGObject==3.42.1
|
| 202 |
-
PyJWT==2.3.0
|
| 203 |
-
pymacaroons==0.13.0
|
| 204 |
-
PyNaCl==1.5.0
|
| 205 |
-
pyparsing==2.4.7
|
| 206 |
-
PyPDF2==3.0.1
|
| 207 |
-
pypdfium2==4.30.1
|
| 208 |
-
pyRFC3339==1.1
|
| 209 |
-
PyRuSH==1.0.9
|
| 210 |
-
pysbd==0.3.4
|
| 211 |
-
pysimstring==1.3.0
|
| 212 |
-
pyspark==3.5.5
|
| 213 |
-
pytesseract==0.3.13
|
| 214 |
-
pytest==8.3.5
|
| 215 |
-
python-docx==1.1.2
|
| 216 |
-
python-dotenv==1.0.1
|
| 217 |
-
python-ptrace==0.9.9
|
| 218 |
-
pytz==2022.1
|
| 219 |
-
pyxdg==0.27
|
| 220 |
-
PyYAML==6.0.2
|
| 221 |
-
quantulum3==0.9.2
|
| 222 |
-
quicksectx==0.4.0
|
| 223 |
-
rank-bm25==0.2.2
|
| 224 |
-
referencing==0.36.2
|
| 225 |
-
regex==2024.11.6
|
| 226 |
-
reportlab==3.6.8
|
| 227 |
-
requests==2.32.3
|
| 228 |
-
requests-cache==0.9.8
|
| 229 |
-
requests-toolbelt==1.0.0
|
| 230 |
-
rich==13.9.4
|
| 231 |
-
rpds-py==0.23.1
|
| 232 |
-
sacremoses==0.1.1
|
| 233 |
-
safetensors==0.5.2
|
| 234 |
-
scikit-learn==1.6.1
|
| 235 |
-
scipy==1.15.2
|
| 236 |
-
SecretStorage==3.3.1
|
| 237 |
-
sentence-transformers==3.4.1
|
| 238 |
-
sentencepiece==0.2.0
|
| 239 |
-
shellingham==1.5.4
|
| 240 |
-
six==1.16.0
|
| 241 |
-
smart-open==7.1.0
|
| 242 |
-
sniffio==1.3.1
|
| 243 |
-
soundfile==0.13.1
|
| 244 |
-
soxr==0.5.0.post1
|
| 245 |
-
spacy==3.7.5
|
| 246 |
-
spacy-legacy==3.0.12
|
| 247 |
-
spacy-loggers==1.0.5
|
| 248 |
-
spark-nlp==5.5.3
|
| 249 |
-
sparknlp==1.0.0
|
| 250 |
-
SQLAlchemy==2.0.38
|
| 251 |
-
srsly==2.5.1
|
| 252 |
-
sseclient-py==1.8.0
|
| 253 |
-
ssh-import-id==5.11
|
| 254 |
-
sympy==1.13.1
|
| 255 |
-
systemd-python==234
|
| 256 |
-
tenacity==9.0.0
|
| 257 |
-
tensorboard==2.19.0
|
| 258 |
-
tensorboard-data-server==0.7.2
|
| 259 |
-
tensorflow==2.19.0
|
| 260 |
-
tensorflow-io-gcs-filesystem==0.37.1
|
| 261 |
-
termcolor==2.5.0
|
| 262 |
-
tf_keras==2.19.0
|
| 263 |
-
thinc==8.2.5
|
| 264 |
-
threadpoolctl==3.5.0
|
| 265 |
-
tiktoken==0.9.0
|
| 266 |
-
tokenizers==0.21.0
|
| 267 |
-
tomli==2.2.1
|
| 268 |
torch==2.6.0
|
| 269 |
-
|
| 270 |
-
|
| 271 |
-
|
| 272 |
-
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
|
| 276 |
-
|
| 277 |
-
|
| 278 |
-
|
| 279 |
-
|
| 280 |
-
url-normalize==1.4.3
|
| 281 |
-
urllib3==1.26.5
|
| 282 |
-
vine==5.1.0
|
| 283 |
-
wasabi==1.1.3
|
| 284 |
-
wcwidth==0.2.13
|
| 285 |
-
weasel==0.4.1
|
| 286 |
-
Werkzeug==3.1.3
|
| 287 |
-
wrapt==1.17.2
|
| 288 |
-
xxhash==3.5.0
|
| 289 |
-
yarl==1.18.3
|
| 290 |
-
zipp==3.17.0
|
| 291 |
-
zstandard==0.23.0
|
|
|
|
| 1 |
+
flask
|
| 2 |
+
flask-cors
|
| 3 |
+
werkzeug
|
| 4 |
+
transformers
|
| 5 |
+
whisper
|
| 6 |
+
python-dotenv
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
torch==2.6.0
|
| 8 |
+
pillow
|
| 9 |
+
pdf2image
|
| 10 |
+
python-docx
|
| 11 |
+
openpyxl
|
| 12 |
+
pytesseract
|
| 13 |
+
scikit-learn
|
| 14 |
+
scipy
|
| 15 |
+
pandas
|
| 16 |
+
numpy
|
| 17 |
+
pdfplumber
|
| 18 |
+
opencv-python
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|