| import streamlit as st | |
| from persist import persist, load_widget_state | |
| global variable_output | |
| def main(): | |
| cs_body() | |
| def cs_body(): | |
| st.markdown('# Training Details') | |
| st.write("Provide an overview of the Training Data and Training Procedure for this model") | |
| left, middle, right = st.columns([2,1,7]) | |
| with left: | |
| st.write("\n") | |
| st.write("\n") | |
| st.markdown('## Training Data:') | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| with middle: | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.markdown(' \n ## Training Procedure') | |
| with left: | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.markdown('#### Preprocessing:') | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.markdown('#### Speeds, Sizes, Time:') | |
| with right: | |
| #soutput_jinja = parse_into_jinja_markdown() | |
| st.text_area("", help ="Ideally this links to a Dataset Card.", key=persist("training_Data")) | |
| #st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.write("\n") | |
| st.text_area("",key=persist("model_preprocessing")) | |
| st.text_area("", help = "This section provides information about throughput, start/end time, checkpoint size if relevant, etc.", key=persist("Speeds_Sizes_Times")) | |
| if __name__ == '__main__': | |
| load_widget_state() | |
| main() |