Hi guys,
I’ve added “Transformers” in the requirements.txt file, but I got a ModuleNotFoundError -> No module named 'transformers' when I’m trying to deploy in Streamlit share.
Not sure what I’m doing wrong here. Here’s the app if you wanted to have a glance:
https://share.streamlit.io/charlywargnier/gpuoneshottransformersstreamlit/main/app.py
Thanks,
Charly
Check the sidebar for an error message. We launch the app even if a pip failure occurs, so there’s probably a message that some driver was missing or something else to cause the requirements not to get installed properly.
I see, thanks Randy!
So I’ve checked and removed the errors seen in the log file. No more ModuleNotFoundError -> No module named 'transformers' - great news! 
The app shows another issue, however, and the installation seems to keep going/never stops:
I pasted the log here: https://pastebin.com/HzEcvN1k
I can’t seem to find any error here, except:
[manager] Error checking Streamlit healthz: Get "http://localhost:8501/healthz": read tcp 127.0.0.1:48364->127.0.0.1:8501: read: connection reset by peer
I’ll keep trying various things over the weekend!
Thanks,
Charly
Quick heads-up @randyzwitch
15 tries later, it’s still not working and the installation keeps looping it seems … 
(Latest error log is here, as well as the repo)
I think I know where the issue is coming from yet not sure how to fix it.
When I try the same script in Google Colab, Colab downloads all the needed weights/models.
I believe we need a way to upload these models to Streamlit Sharing, yet not sure how to do it:
Maybe via an extra text file?
Thanks,
Charly
Do you have a feeling for the cumulative size of the models? I’m wondering if you’re exceeding the VM size, and it’s caught in an unfortunate deploy cycle
It relies on GPU PyTorch. To give you an idea of size, here’s the error I get in the free version of Heroku (capped at 500M):
Compiled slug size: 863.7M is too large (max is 500M).
Thanks,
Charly
Currently, we’re at 800MB for the limits
