Dockerize Streamlit App and making it production ready!

Last week at Bitscrunch we got a task to deploy Streamlit application for a quick demo. On first google search found it to be very easy but then it was NOT ! This tutorial is the outcome of extra efforts spend while searching for solutions. Hope it helps others !

Prerequisite:

1. A working streamlit application
2. A linux machine with Docker installed
3. 15min of time.

Lets Begin the fun

Step 1: Let’s create a Docker file.

In the working root directory, let’s create a file named ‘Dockerfile’ without any extensions. Your file structure should be as shown.

root
   ├── Dockerfile
   ├── something.png
   ├── something.txt
   ├── model
   ├── nainvemodel.pkl

Step 2: Dockerfile’s content

FROM python:3.7
RUN apt-get update && apt-get install -y python3-opencv
WORKDIR /app
COPY requirements.txt ./requirements.txt
RUN pip3 install opencv-python cython numpy
RUN pip3 install -r requirements.txt
EXPOSE 8501
COPY . /app
CMD streamlit run filename.py --server.enableCORS false --server.enableXsrfProtection false

NOTE: This is the most critical part. If you don’t add --server.enableCORS false --server.enableXsrfProtection false then the webpage would be stuck at loading screen

Step 3: Build the docker image

docker build -t streamlitapp:latest .

Step 4: View docker images.

docker image ls

Step 5: Running as a container

docker run -p 8501:8501 streamlitapp:latest

Output:

It also starts our streamlit app in the following urls:

Network URL: http://172.17.0.2.8501

External URL: https://193.106.63.249:8501

With that, the Streamlit app is now deployed with docker.

Source code : https://github.com/chetanbothra/streamlit-docker

If this article has helped you, Please share your feedback via DM or connect with me on https://www.linkedin.com/in/chetanbothra