while loop massive memory leak

[ks00x]

Checklist

• I have searched the existing issues for similar issues.
• I added a very descriptive title to this issue.
• I have provided sufficient information below to help reproduce this issue.

Summary

The code below is the simplest I could come up with to demonstrate it. With the image shown the memory usage increases rapidly into the GB regime. However, even without the video shown, the memory increases because of the np.random call. This suggests that the problem is not st.image specific. Restarting the script causes the memory to become free!
streamlit version 1.30.0.
In my actual application I added an st.rerun() call every 10min to reduce the memory usage, but there is still a slower increase in memory consumption caused by something else.
There is an earlier thread that was closed: #6510

Reproducible Code Example

import streamlit as st
import numpy as np

st.button('restart')
show = st.checkbox('show video',value=True)
vid = st.empty()

while True :
    im = np.random.random((500,500))
    if show :
        vid.image(im)

Steps To Reproduce

No response

Expected Behavior

leveling off of memory usage

Current Behavior

linear increase of memory usage with time

Is this a regression?

• Yes, this used to work in a previous version.

Debug info

• Streamlit version:1.30.0
• Python version:3.11.5
• Operating System:win10
• Browser:brave

Additional Information

No response

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[kmcgrady]

Hey @ks00x Thanks for the report! We do actually not remove images from our media file manager until the script finishes running, which would explain the massive memory leak being shown with the example.

As for the refresh, we are working on a concept of "partial reruns" which should make this easier to manage memory-wise. Part of the problem is how well Python garbage collects (we've seen examples of the memory increasing, but Python is not utilizing it all). Going to close cause I think we will have better solutions in the near future.