File size: 744 Bytes
2d5ffb9 25cf4f2 2d5ffb9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
import streamlit as st
from persist import persist, load_widget_state
#from specific_extraction import extract_it
global variable_output
def main():
cs_body()
def cs_body():
#col1.header('Model Examination')
#stateVariable = "Model_examin"
#help_text = 'Give an overview of your model, the relevant research paper, who trained it, etc.'
st.markdown('# Model Examination')
st.text_area("Provide an overview of your model, the relevant research paper, who trained it, etc",height = 200, key=persist("Model_examin"), )
#left, right = st.columns([2,4], gap="small")
#st.markdown('### Model Description')
if __name__ == '__main__':
load_widget_state()
main() |