Delete pages/5_🏋️♀️_Model_training.py
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pages/5_🏋️♀️_Model_training.py
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import streamlit as st
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from persist import persist, load_widget_state
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global variable_output
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def main():
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cs_body()
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def cs_body():
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st.markdown('# Training Details')
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st.write("Provide an overview of the Training Data and Training Procedure for this model")
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left, middle, right = st.columns([2,1,7])
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with left:
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st.write("\n")
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st.write("\n")
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st.markdown('## Training Data:')
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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with middle:
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.markdown(' \n ## Training Procedure')
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with left:
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.markdown('#### Preprocessing:')
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.markdown('#### Speeds, Sizes, Time:')
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with right:
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#soutput_jinja = parse_into_jinja_markdown()
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st.text_area("", help ="Ideally this links to a Dataset Card.", key=persist("training_Data"))
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#st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.write("\n")
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st.text_area("",key=persist("model_preprocessing"))
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st.text_area("", help = "This section provides information about throughput, start/end time, checkpoint size if relevant, etc.", key=persist("Speeds_Sizes_Times"))
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if __name__ == '__main__':
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load_widget_state()
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main()
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