Streamlit minimal app to view VASP output from remote server without downloading files. See instructions in comments!

StreamlitRemoteServer.py

import streamlit as st
import pivotpy as pp
import os
st.write('# Streamlit from Remote Server!')
path_project = st.text_input("Literal Path to project folder", os.getcwd())
with st.spinner('Selecting Files ...'):
    if os.path.isdir(path_project):
        files = pp.get_child_items(path_project,include=['vasprun.xml'],filesOnly = True)
    else:
        st.warning('Path is incorrect, falling back to launch path')
        files = pp.get_child_items(include=['vasprun.xml'],filesOnly = True)
if len(files[0]) == 0:
        st.error('No files available with current input')
        st.stop()
filter_in = st.text_input("Type to filter subdirectories")
if filter_in:
    s_fs = [f for f in files[0] if filter_in in f]
    if len(s_fs) == 0:
        st.error('No files available with input filter')
        st.stop()
    else:
        files = [s_fs, files[1]]
fs = [os.path.join(files[1],f) for f in files[0]]
option = st.selectbox(
'Select File',  tuple(fs))

@st.cache(suppress_st_warning=True)
def i_plot(path):
    return pp.plotly_rgb_lines(path)
try:
    fig1 = i_plot(option)
    st.plotly_chart(fig1,use_container_width=True)
    #st.balloons()
except:
    st.error('Something went wrong! Check EIGENVAL or vasprun.xml')

# Showing datafiles
cars = ['INCAR','OSZICAR','POSCAR','KPOINTS']
dir_ = os.path.split(option)[0]
cars_path = [os.path.join(dir_,car) for car in cars]
for car,car_p in zip(cars,cars_path):
    if st.checkbox("Show {}".format(car),value = True) and os.path.isfile(car_p):
        lines = []
        with open(car_p,'r') as f:
            lines = ''.join([l for l in f.readlines() if '#' not in l])
        st.code("{}".format(lines), language='shell')
        f.close()

View DFT with VASP output using SSH Tunnel and Streamlit

To use this app:

you need to have python installed on remote server with packages Numpy, Pivotpy, Plotly and Streamlit.

1. Login to server via command "ssh -o logLevel=ERROR -L 8501:localhost:8501 user@host"
2. Run the command (without "quotes")
   "streamlit run https://gist.githubusercontent.com/massgh/823b40873991fc7160523d3cdffc969d/raw/StreamlitRemoteServer.py"
   from remote server's project folder you are working in.
3. Open loacalhost:8501 in your browser and see the app running!

App Screenshots