| 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() |