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Sleeping
import streamlit as st | |
from persist import persist, load_widget_state | |
from pathlib import Path | |
from middleMan import apply_view,writingPrompt | |
global variable_output | |
def main(): | |
cs_body() | |
def cs_body(): | |
stateVariable = 'Model_carbon' | |
help_text ='Provide an estimate for the carbon emissions: e.g hardware used, horus spent training, cloud provider ' | |
st.markdown('# Environmental Impact') | |
st.markdown('###### Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).') | |
st.text_area("", help="Provide an estimate for the carbon emissions: e.g hardware used, horus spent training, cloud provider") | |
left, right = st.columns([2,4]) | |
with left: | |
st.write("\n") | |
st.write("\n") | |
st.markdown('### Hardware Type:') | |
st.write("\n") | |
st.write("\n") | |
#st.write("\n") | |
st.markdown('### Hours used:') | |
st.write("\n") | |
st.write("\n") | |
st.markdown('### Cloud Provider:') | |
st.write("\n") | |
st.write("\n") | |
st.markdown('### Compute Region:') | |
st.write("\n") | |
st.write("\n") | |
st.markdown('### Carbon Emitted:') | |
with right: | |
#soutput_jinja = parse_into_jinja_markdown() | |
st.text_input("",key=persist("Model_hardware")) | |
#st.write("\n") | |
st.text_input("",help="sw",key=persist("hours_used")) | |
st.text_input("",key=persist("Model_cloud_provider")) | |
st.text_input("",key=persist("Model_cloud_region")) | |
st.text_input("",help= 'in grams of CO2eq', key=persist("Model_c02_emitted")) ##to-do: auto calculate | |
if __name__ == '__main__': | |
load_widget_state() | |
main() |