This work is on trail webrun with deployement on (https://litgene.tumorai.org/).
Deployment github (https://github.com/vinash85/GENELLM_WEBAPP) can be used for self deployment of the webpage.
Use feedback page on the LitGene tool page or contact authors to provide feedback.
BioArxiv link: https://www.biorxiv.org/content/10.1101/2024.08.07.606674v1
Here is how to run sample code using Docker.
Build docker:
a. Go to location of docker file after git clone "cd LitGene/dependencies/docker/"
b. Build docker "docker build . -t litgene"
Run docker image/create container:
c. "docker run --name Litgene --gpus=all --previleged --ports 8888:8888 -v litgene_location:/home/tailab/LitGene -dit litgene /bin/bash"
Enter docker:
d. "docker exec -it Litgene /bin/bash"
Inside docker go to the sample code solubility:
e. "cd /home/tailab/LitGene/"
f. open jupyter " jupyter notebook --ports 8888 --ip 0.0.0.0 --allow-root --no-browser"
In the system where docker is deployed:
g. open browser "https://localhost:8888"
h. enter the token
i. run the sample code "solubilityEval.ipynb"
or docker in remote system(optional):
g. open command on local system
h. type "ssh -NL localhost:8888:localhost:8888 usernme@server"
i. repeat step 5
(If interested in Conda requirements provided in LitGene/dependencies tested on Ubuntu 22 with python 3.12 and nvidia driver 535.183.01 and runtime cuda 12.2 on A100 GPU)
Code Refactoring in progress under code/refactored_code For other datafiles, models and output files . Please contact [[email protected]]
