Numpy version conflict

[bachdgvn]

I encountered with this error when installing dependencies in Colab. Pls help me to check this, thanks!

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.
jax 0.4.14 requires numpy>=1.22, but you have numpy 1.21.6 which is incompatible.
jaxlib 0.4.14+cuda11.cudnn86 requires numpy>=1.22, but you have numpy 1.21.6 which is incompatible.
plotnine 0.12.3 requires numpy>=1.23.0, but you have numpy 1.21.6 which is incompatible.
tensorflow 2.13.0 requires numpy<=1.24.3,>=1.22, but you have numpy 1.21.6 which is incompatible.
Successfully installed addict-2.4.0 aiofiles-23.2.1 basicsr-1.4.2 dlib-19.24.0 einops-0.4.1 face-alignment-1.3.4 facexlib-0.2.5 fastapi-0.103.1 ffmpy-0.3.1 filterpy-1.4.5 gradio-3.44.4 gradio-client-0.5.1 h11-0.14.0 httpcore-0.18.0 httpx-0.25.0 huggingface-hub-0.17.2 kornia-0.5.1 librosa-0.9.2 lmdb-1.4.1 ninja-1.10.2.3 numpy-1.21.6 orjson-3.9.7 pydub-0.25.1 python-multipart-0.0.6 resampy-0.4.2 semantic-version-2.10.0 starlette-0.27.0 tb-nightly-2.15.0a20230925 uvicorn-0.23.2 websockets-11.0.3 yapf-0.40.2
WARNING: The following packages were previously imported in this runtime:
  [numpy]
You must restart the runtime in order to use newly installed versions.

[TalhaaaYaqoob]

install numpy==1.23.5

[supermurkote]

I always install requirements.txt without version numbers and then it adjusts the right ones by itself.

or

pip install numpy