pip dependency conflict when installing

[ivanhe123]

I tried to install it in kaggle using the command !pip install -e ./seamless_communication after i cloned the official repo.

But there are A LOT of dependency conflicts.

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. cudf 24.4.1 requires cubinlinker, which is not installed. cudf 24.4.1 requires cupy-cuda11x>=12.0.0, which is not installed. cudf 24.4.1 requires ptxcompiler, which is not installed. cuml 24.4.0 requires cupy-cuda11x>=12.0.0, which is not installed. dask-cudf 24.4.1 requires cupy-cuda11x>=12.0.0, which is not installed. keras-cv 0.9.0 requires keras-core, which is not installed. keras-nlp 0.12.1 requires keras-core, which is not installed. tensorflow-decision-forests 1.8.1 requires wurlitzer, which is not installed. beatrix-jupyterlab 2023.128.151533 requires jupyterlab~=3.6.0, but you have jupyterlab 4.2.1 which is incompatible. cudf 24.4.1 requires cuda-python<12.0a0,>=11.7.1, but you have cuda-python 12.5.0 which is incompatible. distributed 2024.1.1 requires dask==2024.1.1, but you have dask 2024.5.2 which is incompatible. featuretools 1.31.0 requires tqdm>=4.66.3, but you have tqdm 4.64.1 which is incompatible. fitter 1.7.0 requires tqdm<5.0.0,>=4.65.1, but you have tqdm 4.64.1 which is incompatible. gcsfs 2024.3.1 requires fsspec==2024.3.1, but you have fsspec 2024.2.0 which is incompatible. google-cloud-bigquery 2.34.4 requires packaging<22.0dev,>=14.3, but you have packaging 23.2 which is incompatible. jupyterlab 4.2.1 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible. jupyterlab-lsp 5.1.0 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible. libpysal 4.9.2 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible. momepy 0.7.0 requires shapely>=2, but you have shapely 1.8.5.post1 which is incompatible. osmnx 1.9.3 requires shapely>=2.0, but you have shapely 1.8.5.post1 which is incompatible. rapids-dask-dependency 24.4.1a0 requires dask==2024.1.1, but you have dask 2024.5.2 which is incompatible. rapids-dask-dependency 24.4.1a0 requires dask-expr==0.4.0, but you have dask-expr 1.1.2 which is incompatible. s3fs 2024.3.1 requires fsspec==2024.3.1, but you have fsspec 2024.2.0 which is incompatible. spopt 0.6.0 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible. tensorflow 2.15.0 requires keras<2.16,>=2.15.0, but you have keras 3.3.3 which is incompatible. ydata-profiling 4.6.4 requires numpy<1.26,>=1.16.0, but you have numpy 1.26.4 which is incompatible.