![]() ![]() ![]() Prerequisites NVIDIA Drivers īefore you get started, make sure you have installed the NVIDIA driver for your Linux distribution. Seeīuilding, Running and Managing Containersįor more information on the container tools available on the distribution. On Red Hat Enterprise Linux (RHEL) 8, Docker is no longer a supported container runtime. Supported container runtimes are listed below: (%) Ubuntu 20.04 and Ubuntu 22.04 packages are symlinked (redirected) to ubuntu18.04 Container Runtimes (&) RHEL 8 and RHEL 9 packages are symlinked (redirected) to centos8 (&) RHEL 7 packages are symlinked (redirected) to centos7 ![]() (#) Debian 11 packages are symlinked (redirected) to debian10. (*) Minor releases of Open Suse/SLES 15.x are symlinked (redirected) to sles15.1. Supported Linux distributions are listed below: Instructions provided for these distributions are expected to work on Jetson devices. Is included for Ubuntu 18.04, Ubuntu 20.04, and Ubuntu 22.04 distributions. You would simplify the command using mamba install streamlit.As of NVIDIA Container Toolkit 1.7.0 support for Jetson plaforms Mambaforge uses Mamba and the community channel conda-forge by default, alleviating most installation issues due to packages being installed from two channels and the older packages being in the conda channel. Much of the limitations of conda have been addressed in the mamba package manager. For example the package listed says conda install -c conda-forge streamlit Installing a package using pip or from the community conda-forge channel in the base environment, normally messes things up.Īs a consequence it is generally recommended to install Python and all the packages required from the conda-forge channel in a separate Python environment. The base Python installation in Anaconda is pretty much designed to only include the default packages used in the conda channel. The conda channel has a small subset of packages available in the conda-forge channel and the conda channel is normally out of date. One of the main problem with conda is there are two main channels, the conda channel, maintained by the Anaconda channel and conda-forge maintained by the community channel. This makes it easier to install packages but also makes it easier to install incompatible packages which will cause issues later on. ![]() Pip is more flexible because it doesn't use dependency checks. So yes it seems that there is some issue with this specific package. ModuleNotFoundError: No module named 'streamlit.cli' I can get the same error with these steps $ conda create -n streamlittest pythonįile "/Users/miniconda3/envs/streamlittest/bin/streamlit", line 7, in You also need to include the exact Traceback for these types of errors. You need to make sure that your terminal session is running with a specific conda env activated, and that you are using the pip bundled with conda to install into your conda env. You need to be more specific about your conda configuration. However, I think, that the conda installation was somehow incomplete or broken. It should be noted that conda used version 1.16 while pip pulled version 1.17. So I did "conda unistall streamlit" first, then "pip install streamlit". Its perfectly valid to use pip to install inside of an activated conda envĢ.) I received error messages that "streamlit.cli" could not be loaded. Yes, I addressed this in the (long) comment I linked in another Reddit thread They just say you can install Anaconda and then use pip. ![]()
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