trying out image

app.py

@@ -54,17 +54,15 @@ 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') 
 st.title("AI Carbon Calculator")
 
 st.markdown('## Estimate your model\'s CO2 carbon footprint!')
 
-st.markdown('Building on the work of the [ML CO2 Calculator](https://mlco2.github.io/impact/), this tool allows you to consider'
-            ' other aspects of your model\'s carbon footprint based on the LCA methodology.')
-
-st.markdown('You can use this tool to calculate different aspects of your model: the dynamic emissions, idle emissions embodied emissions.')
+st.markdown('##### You can use this tool to calculate different aspects of your model\'s carbon footprint.')
 
 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"):
     col1, col2, col3, col4 = st.columns(4)
     with col1:
@@ -98,6 +96,8 @@ with st.expander("Calculate the emissions produced by energy consumption of mode
 
 
 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?')
 
 
@@ -107,9 +107,9 @@ st.markdown('Choose your hardware, runtime and cloud provider/physical infrastru
 
 
 
+with st.expander("More information about our Methodology"):
+    st.markdown('Building on the work of the [ML CO2 Calculator](https://mlco2.github.io/impact/), this tool allows you to consider'
+                ' other aspects of your model\'s carbon footprint based on the LCA methodology.')
 
-st.markdown('#### More information about our Methodology')
-
-st.image('images/LCA_CO2.png', caption='The LCA methodology - the parts in green are those we focus on.')
 
-modelname = st.selectbox('Choose a model to test', TDP)
+    st.image('images/LCA_CO2.png', caption='The LCA methodology - the parts in green are those we focus on.')