Collecting clip@ git+https://github.com/openai/CLIP.git
  Cloning https://github.com/openai/CLIP.git to /tmp/pip-install-k8peywsg/clip_f3cc62bcb40c4a15a42a40d8165e7d81
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Collecting black==23.7.0
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Collecting fire>=0.5.0
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Collecting fsspec>=2023.6.0
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Collecting matplotlib>=3.7.2
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Collecting numpy>=1.24.4
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Collecting opencv-python==4.6.0.66
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Collecting pandas>=2.0.3
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Collecting pillow>=9.5.0
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Collecting pytorch-lightning==2.0.1
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Collecting pyyaml>=6.0.1
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Collecting rembg
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Collecting scipy>=1.10.1
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Collecting streamlit>=0.73.1
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Collecting tensorboardx==2.6
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Collecting timm>=0.9.2
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Collecting tokenizers==0.12.1
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Collecting torch>=2.0.1
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Collecting torchaudio>=2.0.2
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Collecting torchdata==0.6.1
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Collecting torchmetrics>=1.0.1
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Collecting torchvision>=0.15.2
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Collecting tqdm>=4.65.0
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Collecting transformers==4.19.1
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Collecting triton==2.0.0
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Collecting urllib3<1.27,>=1.25.4
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Collecting wandb>=0.15.6
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Collecting nvidia-cuda-nvrtc-cu11==11.7.99
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Collecting nvidia-cublas-cu11==11.10.3.66
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Collecting nvidia-cufft-cu11==10.9.0.58
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Collecting nvidia-cusolver-cu11==11.4.0.1
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Collecting nvidia-cusparse-cu11==11.7.4.91
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Collecting nvidia-nccl-cu11==2.14.3
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Collecting nvidia-nvtx-cu11==11.7.91
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Collecting huggingface-hub<1.0,>=0.1.0
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Collecting cmake
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Collecting lit
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Requirement already satisfied: setuptools in ./.pt2/lib/python3.11/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=2.0.1->-r requirements/pt2.txt (line 28)) (66.1.1)
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Collecting PyWavelets>=1.1.1
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Collecting contourpy>=1.0.1
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Collecting fonttools>=4.22.0
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Collecting kiwisolver>=1.3.1
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Collecting gradio
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Collecting gradio
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Collecting gradio
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Collecting gradio
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Collecting websockets<12.0,>=10.0
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Collecting aiohttp!=4.0.0a0,!=4.0.0a1
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Collecting h11<0.15,>=0.13
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Building wheels for collected packages: tokenizers, fairscale, pudb, urwid-readline
  Building wheel for tokenizers (pyproject.toml) ... error
  error: subprocess-exited-with-error
  
  \UffffffffBuilding wheel for tokenizers (pyproject.toml) did not run successfully.
  \u2502 exit code: 1
  \u2570\u2500> [51 lines of output]
      running bdist_wheel
      running build
      running build_py
      creating build
      creating build/lib.linux-x86_64-cpython-311
      creating build/lib.linux-x86_64-cpython-311/tokenizers
      copying py_src/tokenizers/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers
      creating build/lib.linux-x86_64-cpython-311/tokenizers/models
      copying py_src/tokenizers/models/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/models
      creating build/lib.linux-x86_64-cpython-311/tokenizers/decoders
      copying py_src/tokenizers/decoders/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/decoders
      creating build/lib.linux-x86_64-cpython-311/tokenizers/normalizers
      copying py_src/tokenizers/normalizers/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/normalizers
      creating build/lib.linux-x86_64-cpython-311/tokenizers/pre_tokenizers
      copying py_src/tokenizers/pre_tokenizers/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/pre_tokenizers
      creating build/lib.linux-x86_64-cpython-311/tokenizers/processors
      copying py_src/tokenizers/processors/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/processors
      creating build/lib.linux-x86_64-cpython-311/tokenizers/trainers
      copying py_src/tokenizers/trainers/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/trainers
      creating build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      copying py_src/tokenizers/implementations/base_tokenizer.py -> build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      copying py_src/tokenizers/implementations/byte_level_bpe.py -> build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      copying py_src/tokenizers/implementations/sentencepiece_unigram.py -> build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      copying py_src/tokenizers/implementations/sentencepiece_bpe.py -> build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      copying py_src/tokenizers/implementations/char_level_bpe.py -> build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      copying py_src/tokenizers/implementations/bert_wordpiece.py -> build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      copying py_src/tokenizers/implementations/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/implementations
      creating build/lib.linux-x86_64-cpython-311/tokenizers/tools
      copying py_src/tokenizers/tools/__init__.py -> build/lib.linux-x86_64-cpython-311/tokenizers/tools
      copying py_src/tokenizers/tools/visualizer.py -> build/lib.linux-x86_64-cpython-311/tokenizers/tools
      copying py_src/tokenizers/__init__.pyi -> build/lib.linux-x86_64-cpython-311/tokenizers
      copying py_src/tokenizers/models/__init__.pyi -> build/lib.linux-x86_64-cpython-311/tokenizers/models
      copying py_src/tokenizers/decoders/__init__.pyi -> build/lib.linux-x86_64-cpython-311/tokenizers/decoders
      copying py_src/tokenizers/normalizers/__init__.pyi -> build/lib.linux-x86_64-cpython-311/tokenizers/normalizers
      copying py_src/tokenizers/pre_tokenizers/__init__.pyi -> build/lib.linux-x86_64-cpython-311/tokenizers/pre_tokenizers
      copying py_src/tokenizers/processors/__init__.pyi -> build/lib.linux-x86_64-cpython-311/tokenizers/processors
      copying py_src/tokenizers/trainers/__init__.pyi -> build/lib.linux-x86_64-cpython-311/tokenizers/trainers
      copying py_src/tokenizers/tools/visualizer-styles.css -> build/lib.linux-x86_64-cpython-311/tokenizers/tools
      running build_ext
      running build_rust
      error: can't find Rust compiler
      
      If you are using an outdated pip version, it is possible a prebuilt wheel is available for this package but pip is not able to install from it. Installing from the wheel would avoid the need for a Rust compiler.
      
      To update pip, run:
      
          pip install --upgrade pip
      
      and then retry package installation.
      
      If you did intend to build this package from source, try installing a Rust compiler from your system package manager and ensure it is on the PATH during installation. Alternatively, rustup (available at https://rustup.rs) is the recommended way to download and update the Rust compiler toolchain.
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for tokenizers
  Building wheel for fairscale (pyproject.toml) ... done
  Created wheel for fairscale: filename=fairscale-0.4.13-py3-none-any.whl size=332105 sha256=e082274503a14d5f7be60674a12baf3cadbab0d9ce2a7cd4c8bce08028d83088
  Stored in directory: /home/benjamin_loison/.cache/pip/wheels/95/ef/96/5044bde220b2ea299bdc6ec05051e0ef187fad45b341d1c273
  Building wheel for pudb (pyproject.toml) ... done
  Created wheel for pudb: filename=pudb-2024.1-py3-none-any.whl size=86975 sha256=6095db7c98ec1d9da350586abd923dd545e1daeecdd416918aea6e58eddef617
  Stored in directory: /home/benjamin_loison/.cache/pip/wheels/b9/e4/9b/4a9b4f9166476f125b4113756fc869f490aafcb6117db1945a
  Building wheel for urwid-readline (pyproject.toml) ... done
  Created wheel for urwid-readline: filename=urwid_readline-0.14-py3-none-any.whl size=9211 sha256=2f5f536d21dd8a19cd5d8696c2ba232241d199d09cec9348f9dbb9f92b066040
  Stored in directory: /home/benjamin_loison/.cache/pip/wheels/fc/d7/1e/7a814a3cd160e14d822aaae92d3da8b45861adaa6b3f8290b3
Successfully built fairscale pudb urwid-readline
Failed to build tokenizers
ERROR: Could not build wheels for tokenizers, which is required to install pyproject.toml-based projects