How to create a Post request with streamlit

[chukypedro]

I have a image processing script that converts video’s to frame and I want to turn it to a web service where user uploads a video then the system converts the video to frame and saves to a folder.

Is it possible to create a post request that takes a video from a user calls an endpoint which in turn processes the video and sends a response back to the user.

I am kind of familiar DL and ML and I have little knowledge of restful api

Can I do this with streamlit…??

[chris_klose]

Hi @chukypedro,

you mention several points here.

1. File_uploader
Streamlit offers a component for file uploading including video files (I belief):

import streamlit as st
import cv2 as cv
import tempfile

--> f = st.file_uploader("Upload file") <--
tfile = tempfile.NamedTemporaryFile(delete=False)
tfile.write(f.read())
vf = cv.VideoCapture(tfile.name)

2. Requests in python
You can than send a request to the API using:

import requests
url = 'https://www.w3schools.com/python/demopage.php'
myobj = {'somekey': 'somevalue'}
x = requests.post(url, data = myobj)
print(x.text)

3. API
Finally, you can implement an API with:

Request Body - FastAPI

and smoothly process and return the data.

In case you are using streamlit sharing, you might not need to send the data somewhere to store files.
I have a similar question posted a few minutes ago:

Upload Files to Streamlit App

Hi folks, to be honest, I don’t know if the question is justified or meaningful. Please let me have your opinion on this. I tried to save a CSV-file in a subfolder (shared/data/*.csv) during the air-time of @streamlit #sharing. There is an error: [image] Is it possible to enable the permissions? Does anyone know another work-around how or where you can simply save csv-files without much hassle?

Hope that helps you have a nice day.
Cheers
Chris

[randyzwitch]

@chukypedro

Is it possible to create a post request that takes a video from a user calls an endpoint which in turn processes the video and sends a response back to the user.

Yes, you could do something like this, but it doesn’t necessarily have to be “in Streamlit”, since you have the full power of Python available as well. @chris_klose points out some thoughts, and it really is a matter of thinking through the pipeline you want and doing it.

Streamlit sharing isn’t going to provide you with a lot of RAM and disk space, so it might not be the best solution for this. But I can envision an app that calls out to Amazon S3 or Google Drive to post the modified video and returns a link to where someone can download it.

Best,
Randy