Update app.py

app.py

@@ -25,7 +25,7 @@ def generate_figure(org_name):
 with gr.Blocks() as demo:
     gr.Markdown("# Environmental Transparency Explorer Tool")
     gr.Markdown("## Explore the data from 'Misinformation by Omission: The Need for More Environmental Transparency in AI'")
-    with gr.Accordion('Methodology'):
+    with gr.Accordion('Methodology', open=False):
         gr.Markdown('We analyzed Epoch AI\'s "Notable AI Models" dataset, which tracks information on “models that were state of the art, highly cited, \
         or otherwise historically notable” released over time. We selected the time period starting in 2010 as this is the beginning of the modern “deep learning era” \
         (as defined by Epoch AI), which is representative of the types of AI models currently trained and deployed, including all 754 models from 2010 \
@@ -35,10 +35,10 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column(scale=1):
             org_choice= gr.Dropdown(organizations, value="Alphabet", label="Organizations", info="Pick an organization to explore their environmental disclosures", interactive=True)
-            gr.Markdown('The 3 transparency categories are: \
-            **Direct Disclosure**: Developers explicitly reported energy or GHG emissions, e.g., using hardware TDP, country average carbon intensity or measurements. \
-            **Indirect Disclosure**: Developers provided training compute data or released their model weights, allowing external estimates of training or inference impacts. \
-            **No Disclosure**: Environmental impact data was not publicly released and estimation approaches (as noted in Indirect Disclosure) were not possible.')
+            gr.Markdown('The 3 transparency categories are:')
+            gr.Markdown('**Direct Disclosure**: Developers explicitly reported energy or GHG emissions, e.g., using hardware TDP, country average carbon intensity or measurements.')
+            gr.Markdown('**Indirect Disclosure**: Developers provided training compute data or released their model weights, allowing external estimates of training or inference impacts.')
+            gr.Markdown('**No Disclosure**: Environmental impact data was not publicly released and estimation approaches (as noted in Indirect Disclosure) were not possible.')
         with gr.Column(scale=4):
             gr.Markdown("### Data by Organization")
             fig = generate_figure(org_choice)