where does docker upload server.py file? - api

Question

Setting: lots of mp3 records of customer support conversations somewhere in a db. Each mp3 record has 2 channels, one is customer rep, another is customer's voice.
I need to extract embedding(tensor) of a customer's voice. It's a 3 step process:
get the channel, cut 10 secs, convert to embedding. I have all 3 functions for each step.
embedding is a vector tensor:
"tensor([[0.6540e+00, 0.8760e+00, 0.898e+00,
0.8789e+00, 0.1000e+00, 5.3733e+00]])
Tested with postman. Get embedding function:
I want to build a rest api that connects on 1 endpoint to the db of mp3 files and outputs embedding to another db.
I need to clarify important feature about docker.
When i run "python server.py" flask makes it available on my local pc - 127.0.1.01/9090:
def get_embedding(file):
#some code
#app.route('/health')
def check():
return jsonify({'response':'OK!'})
#app.route('/get_embedding')
def show_embedding():
return get_embedding(file1)
if __name__ == '__main__':
app.run(debug=True, port=9090)
when i do it with docker - where goes the server and files? where does it become available online, can docker upload all the files to default docker cloud?

Answer 1

You need to write a Dockerfile to build your Docker image and after that, Run a container from that image exposing on the port and then you can access it machineIP:PORT
Below is the example
Dockerfile
#FROM tells Docker which image you base your image on (in the example, Python 3).
FROM python:3
#WORKDIR tells which directory container has to word
WORKDIR /usr/app
# COPY files from your host to the image working directory
COPY my_script.py .
#RUN tells Docker which additional commands to execute.
RUN pip install pystrich
CMD [ "python", "./my_script.py" ]
Ref:- https://docs.docker.com/engine/reference/builder/
And then build the image,
docker build -t server .
Ref:- https://docs.docker.com/engine/reference/commandline/build/
Once, Image is built start a container and expose the port through which you can access your application.
E.g.
docker run -p 9090:9090 server
-p Publish a container's port(s) to the host
And access your application on localhost:9090 or 127.0.0.1:9090 or machineIP:ExposePort