Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.

Related tags

Deep Learning streamlit-docker
Overview

Containerized Streamlit web app

This repository is featured in a 3-part series on Deploying web apps with Streamlit, Docker, and AWS. Checkout the blog posts!

app

Setup instructions

If you are interested in the web app backed by a Postgres database, checkout out the docker-compose+postgres branch.

Getting up and running locally

$ git clone https://github.com/collinprather/streamlit-docker.git
$ cd streamlit-docker/
$ docker image build -t streamlit:app .
$ docker container run -p 8501:8501 -d streamlit:app

Then, the web app will be available at http://localhost:8501/

To shut down the web app when you're done, you can find the process running your container with

$ docker ps | grep 'streamlit:app'
6d1871137019        streamlit:app       "/bin/sh -c 'streaml…"   8 minutes ago       Up 8 minutes        0.0.0.0:8501->8501/tcp   <weird_name>

Then stop that process with the following command.

$ docker kill <weird_name>
<weird_name>
$

Deploying to the cloud

Refer to my blog post!

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Comments
  • Problems with building the docker image

    Problems with building the docker image

    Nice job! This is an amazing and important topic for ML beginners. Many thanks!

    I've tried to build the docker image, but I'm facing this error message:

    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-build-n86_1yvn/pyarrow/setup.py", line 37, in <module>
        from Cython.Distutils import build_ext as _build_ext
    ModuleNotFoundError: No module named 'Cython'
    
    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-build-n86_1yvn/pyarrow/
The command '/bin/sh -c pip3 install -r requirements.txt' returned a non-zero code: 1

    Could you please point to me any suggestion/tip in order to solve that?

    opened by andluizsouza 2
  • Cant build the container

    Cant build the container

    Whats wrong?

    > [2/9] RUN apt-get install python3.8 -y &&    apt-get install python3-pip -y &&    apt-get install graphviz -y:
#5 0.449 Reading package lists...
#5 0.461 Building dependency tree...
#5 0.462 Reading state information...
#5 0.464 E: Unable to locate package python3.8
#5 0.464 E: Couldn't find any package by glob 'python3.8'
#5 0.464 E: Couldn't find any package by regex 'python3.8'
------
executor failed running [/bin/sh -c apt-get install python3.8 -y &&    apt-get install python3-pip -y &&    apt-get install graphviz -y]: exit code: 100
    opened by blanpa 1
  • Bump numpy from 1.18.1 to 1.22.0

    Bump numpy from 1.18.1 to 1.22.0

    Bumps numpy from 1.18.1 to 1.22.0.

    Release notes

    Sourced from numpy's releases.

    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

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Owner
Collin Prather
Data Scientist
Collin Prather
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