removing image for now

app.py

@@ -54,16 +54,17 @@ electricity = pd.read_csv(electricity_url)
 servers = pd.read_csv(server_url)
 embodied_gpu = pd.read_csv(embodied_gpu_url)
 
-st.image('images/MIT_carbon_image_narrow.png', use_column_width=True) 
+#st.image('images/MIT_carbon_image_narrow.png', use_column_width=True, caption = 'Image credit: ')
 st.title("AI Carbon Calculator")
 
 st.markdown('## Estimate your model\'s CO2 carbon footprint!')
 
 st.markdown('##### You can use this tool to calculate different aspects of your model\'s carbon footprint.')
+st.markdown('##### Share your data to help us get a better idea of AI model\'s carbon emissions.')
 
 st.markdown('### Dynamic Emissions')
-st.markdown('##### These are the emissions produced by generating the electricity needed to train your model.')
-with st.expander("Calculate the emissions produced by energy consumption of model training"):
+st.markdown('##### These are the carbon emissions produced by generating the electricity necessary for powering model training')
+with st.expander("Calculate the dynamic emissions of your model"):
     col1, col2, col3, col4 = st.columns(4)
     with col1:
         hardware = st.selectbox('GPU used', TDP['name'].tolist())
@@ -93,12 +94,17 @@ with st.expander("Calculate the emissions produced by energy consumption of mode
     st.button(label="Anonymously share my data", help="Share the data from your model anonymously for research purposes!",\
     on_click = lambda *args: write_to_csv(hardware, training_time, provider, carbon_intensity, dynamic_emissions))
 
+st.markdown('### Idle Emissions')
+st.markdown('##### These are the emissions produced by generating the electricity needed to power the rest of the infrastructure'
+            'used for model training -- the datacenter, network, heating/cooling, storage, etc.')
+
 
 
 st.markdown('### Idle Emissions')
 st.markdown('##### These are the emissions produced by generating the electricity needed to power the rest of the infrastructure'
             'used for model training -- the datacenter, network, heating/cooling, storage, etc.')
-st.markdown('Do you know what the PUE (Power Usage Effectiveness) of your infrastructure is?')
+with st.expander("Calculate the idle emissions of your model"):
+    st.markdown('Do you know what the PUE (Power Usage Effectiveness) of your infrastructure is?')