it is running abosoultely well on the local server as soon as i try to deploy on the streamlit it is showing some error. I have tried to debug it . But I was unsucessful.
Please provide more information (link to your repo, the complete logs).
repo link
You reference files in your requirements file that are not in your repo. I recommend cleaning up your requirements file. If you need to install a version of something that is not available on PyPi, you’ll need to include those wheel files in your repo or point to them hosted somewhere. Try to limit your requirements file to only the packages you use and only pin a version when it’s truly necessary so that the installer can resolve versions itself where possible.
Firstly i try to do with in gen i.e. latest of all . then i got error. then i tried to do it with specific version as we can see in the repo given
but still im getting the same error. as you can see the next word prediction using lstm and gru
there will be repo
Generally speaking, the machine learning libraries often need to be pinned but not the others (like pandas and numpy). You may also need to specify the version of Python at deployment. Can you share the complete logs that show Community Cloud’s setup process and ultimate error?
Hi,
It’s my first time deploying on streamlit and I was following steps for the same but don’t know what happened it just blocked me and I am unable to deploy. As this is time sensitive issue it would be great if you can help me with this asap.
error facing-
Error: Your account has exceeded the fair-use limits and was blocked by the system. If you believe this is a mistake, please contact customer support.
Code: 403